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Dessislava Pachamanova

  • Professor
  • Zwerling Family Endowed Term Chair
Academic Division: Mathematics, Analytics, Science, and Technology
CV
Dr. Pachamanova is Professor and Zwerling Family Endowed Term Chair at Babson College and Research Affiliate at the Massachusetts Institute of Technology. Her research and consulting span multiple fields, including robust optimization, risk management, simulation, predictive analytics and machine learning, text analytics, and operations. She has authored and coauthored dozens of articles in operations research, finance, accounting, engineering, marketing and management journals, including in top academic and practitioner outlets such as Management Science, Operations Research, Journal of Portfolio Management, Mathematical Finance, Journal of Banking and Finance, Journal of Marketing Management, and Technological Forecasting and Social Change. Dr. Pachamanova has also published numerous book chapters, as well as three books in computational finance and risk management: Robust Portfolio Optimization and Management (2007), Simulation and Optimization in Finance: Modeling with MATLAB, @RISK, or VBA (2010), and Portfolio Construction and Analytics (2016), all part of The Frank J. Fabozzi Series in Finance, J. Wiley & Sons.

Dr. Pachamanova teaches courses in analytics and computational finance in the undergraduate and the MBA programs, and cares deeply about creating a valuable learning experience for students. She co-designed Babson's undergraduate and MBA business analytics concentration curricula, co-chaired the design task force for a Masters program in Business Analytics, and co-developed the Business Analytics and Machine Learning MBA concentration. She has also served as faculty director for two open enrollment business analytics programs at Babson Executive Education, Business Analytics for Managers (face-to-face format) and the Babson-Pearson Business Analytics for Managers in India program (online/blended format), and has designed numerous modules on business analytics for custom executive education programs. Her cases, pedagogical innovations and interdisciplinary curriculum development research have appeared in peer-reviewed educational journals such as INFORMS Transactions on Education, Journal of Accounting Education, IMA Educational Case Journal, and Journal of Information Systems Education, and have been recognized with Babson's Deans Award for Excellence in Teaching in the Graduate School and with Poets and Quants' Top 50 Undergraduate Professors award.

Dr. Pachamanova serves on the INFORMS Professional Development Committee, the INFORMS OR & Analytics Student Team Competition Committee, the INFORMS Pro Bono Analytics Committee, and is Area Editor (Cases) for INFORMS Transactions on Education. She holds an A.B. from Princeton University and a Ph.D. from the Sloan School of Management at the Massachusetts Institute of Technology.

Academic Degrees

  • Ph D, Massachusetts Institute of Technology
  • AB, Princeton University

Academic Interest / Expertise

Business Analytics; Operations Research; Machine Learning; Risk Management; Healthcare Operations; Computational Finance

Awards & Honors

  • 2023 — Winner (with S.B. Thakur-Weigold, V. Tilson and S. El Sayed Mohamad), 2023 Decision Sciences Institute Best Case Study Competition, Decision Sciences Institute
  • 2023 — Winner (with V. Tilson and K. Dwyer-Matzky), INFORMS Transactions on Education 2022 Best Paper Award, INFORMS Transactions on Education
  • 2021 — Winner (with L. Berk Wheelock), 2021 INFORMS Data Mining Section Best Paper Competition, INFORMS Data Mining Section
  • 2021 — Zwerling Family Endowed Term Chair, Dean of College, Babson College
  • 2021 — Finalist (with D. Nersessian), Best Interdisciplinary Paper Award, Academy of Legal Studies in Business
  • 2020 — Winner (with V. Tilson and K. Dwyer-Matzky), 2020 INFORMS Case Competition, INFORMS
  • 2018 — Top 50 Undergraduate Professors, Poets & Quants
  • 2018 — Zwerling Family Endowed Research Scholar, Dean of Faculty, Babson College
  • 2016 — PwC Grant, Business Analytics, PricewaterhouseCoopers
  • 2015 — Zwerling Family Endowed Research Scholar, Dean of Faculty, Babson College
  • 2014 — Women Who Make a Difference Award Nominee, Babson College
  • 2013 — BFRF Excellence in Scholarship Award, Babson Faculty Research Fund
  • 2012 — Babson Research Scholar, Dean of Faculty, Babson College
  • 2012 — BFRF Summer Stipend Grant, Babson Faculty Research Fund
  • 2009 — BFRF Excellence in Scholarship Award, Babson Faculty Research Fund
  • 2008 — Course Release Grant, Board of Research, Babson College
  • 2008 — Excellence in Graduate Teaching Award, Dean of Faculty, Babson College
  • 2007 — Summer Stipend Grant, Board of Research, Babson College
  • 2006 — Major Grant Award (3 Course Releases), Board of Research, Babson College
  • 2006 — Zwerling Term Chair, Dean of Faculty, Babson College
  • 2004 — Best Presentation Award of the Financial Services Section of INFORMS, Financial Services Section of INFORMS
  • 2004 — Young Researcher Roundtable, INFORMS Conference on OR/MS Practice
  • 2003 — Gill Grant, Board of Research, Babson College
  • 2003 — Course Release Grant, Board of Research, Babson College
  • 2003 — Course Release Grant, Board of Research, Babson College

Courses

  • Degree Courses 2024

    • QTM 7800 BUSINESS ANALYTICS
    • QTM 9515 INTRODUCTION TO DATA SCIENCE

  • Degree Courses 2023

    • QTM 7800 BUSINESS ANALYTICS
    • QTM 9515 INTRODUCTION TO DATA SCIENCE
    • QTM 9510 OPTIMIZATION METHODS AND APPLICATIONS

Publications

Journal Articles

  • Li, D., Pachamanova, D.A., Siricharoensang, P. (in press). Prescriptive Analytics for Entrepreneurial Growth: Data-Driven Strategic Decision Making at iParty Bangkok Co., Ltd.. INFORMS Transactions on Education.
  • Canellas, M., Pachamanova, D.A., Perakis, G., Skali Lami, O., Tsiourvas, A. (in press). A Granular Approach To Optimal And Fair Patient Placement In Hospital Emergency Departments. Production and Operations Management. Wiley.
  • Canellas, M., Kotkowski, K.A., Pachamanova, D.A., Perakis, G., Reznek, M.A., Skali Lami, O., Tsiourvas, A. (2024). A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Real-Time, Actionable Insights. Annals of Emergency Medicine. Elsevier.
  • Lo, V.S., Pachamanova, D.A. (2023). From Meaningful Data Science to Impactful Decisions: The Importance of Being Causally Prescriptive. Data Science Journal. Vol: 22, Issue: 8, Page: 1-18. link
  • Kashani, M.A., Murphy, M.C., Saenger, J.A., Wrobel, M.M., Tahir, I., Mrah, S., Ringer, S., Bunck, A.C., Silverman, S.G., Shyn, P.B., Pachamanova, D.A., Fintelmann, F.J. (2023). Risk of persistent air leaks following percutaneous cryoablation and microwave ablation of peripheral lung tumors. European Radiology. Vol: 33, Page: 5740–5751. Springer.
  • Wrobel, M.M., Cahalane, A.M., Pachamanova, D.A., Leppelmann, K.S., Silverman, S., Sharma, A., Shyn, P., Mercaldo, N.D., Fintelmann, F.J. (2022). Comparison of expected imaging findings following percutaneous microwave and cryoablation of pulmonary tumors: Ablation zones and thoracic lymph nodes. European Radiology. Vol: 32, Issue: 12, Page: 8171–8181. Springer. link
  • Berk Wheelock, L., Pachamanova, D.A. (2022). Acceptable Set Topic Modeling. European Journal of Operational Research. Vol: 299, Issue: 2, Page: 653-673. Elsevier. link
  • Nersessian, D., Pachamanova, D.A. (2022). Human Trafficking in the Global Supply Chain: Using Machine Learning to Enhance Understanding of Corporate Disclosures under the UK Modern Slavery Act. Harvard Human Rights Journal. Vol: 35, Issue: Spring. link
  • Pachamanova, D.A., Tilson, V., Dwyer-Matzky, K. (2022). Machine Learning, Ethics and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations. INFORMS Transactions on Education. Vol: 22, Issue: 3, Page: 178-187. INFORMS. link
  • Glover, W.J., Li, Z., Pachamanova, D.A. (2022). The AI-Enhanced Future of Health Care Administrative Task Management. New England Journal of Medicine Catalyst Innovations in Care Delivery. Issue: March. Massachusetts Medical Society. link
  • Getchell, K.M., Pachamanova, D.A. (2022). Writing to Learn: A Framework for Structuring Writing Assignments to Support Analytics Course Learning Goals. INFORMS Transactions on Education. Vol: 22(2), Issue: Special Issue on The Education Science of Delivering Analytics Education. INFORMS. link
  • Pachamanova, D.A., Glover, W.J., Li, Z., Docktor, M., Gujral, N. (2021). Identifying Patterns in Administrative Tasks through Structural Topic Modeling: A Study of Task Definitions, Prevalence, and Shifts in a Mental Health Practice’s Operations during the COVID-19 Pandemic. Journal of the American Medical Informatics Association. Vol: 28, Issue: 12, Page: 2707-2715. Oxford University Press. link
  • Wrobel, M.M., Bourgouin, P.P., Kashani, M.A., Leppelmann, K.S., Vazquez, R.M., Pachamanova, D.A., Fintelmann, F.J. (2021). Active versus passive thaw following percutaneous cryoablation of pulmonary tumors: effect on incidence, grade, and onset of hemoptysis. American Journal of Roentgenology. Vol: 217, Issue: 5, Page: 1153-1163. The American Roentgen Ray Society (ARRS).
  • Dwyer-Matzky, K., Pachamanova, D.A., Tilson, V. (2021). Accounting for Capacity: A Real-Time Optimization Approach to Managing Observation Unit Utilization. Naval Research Logistics. Vol: 68(5), Issue: Special Issue on Service Operations Management, Page: 534-555. Wiley. link
  • Pachamanova, D.A., Tilson, V., Dwyer-Matzky, K. (2021). Machine Learning, Ethics and Change Management in Healthcare: Bridging operations management and predictive analytics concepts to prepare students for the complexities of real-world, data-driven decision-making and process improvement. ORMS Today. Vol: 48, Issue: 1. INFORMS. link
  • Erzurumlu, S.S., Pachamanova, D.A. (2020). Topic Modeling and Technology Forecasting for Assessing the Commercial Viability of Healthcare Innovations. Technological Forecasting and Social Change. Vol: 156. Elsevier. link
  • Pachamanova, D.A., Lo, V.S., Gulpinar, N. (2020). Uncertainty Representation and Risk Management for Direct Segmented Marketing. Journal of Marketing Management. Vol: 36, Issue: 1-2, Page: 1-27. Taylor & Francis. link
  • Gai, Y., Pachamanova, D.A. (2019). Impact of the Medicare Hospital Readmission Reduction Program on Vulnerable Populations. BMC Health Services Research. Vol: 19, Issue: 1, Page: 837. Springer. link
  • Bansal, S., Pachamanova, D.A. (2019). Editorial, Special Issue on Nonconvex Portfolio Optimization. The Engineering Economist. Vol: 64, Issue: 3. Taylor and Francis. link
  • Kopcso, D., Pachamanova, D.A. (2018). Business Value in Integrating Predictive and Prescriptive Analytics Models. INFORMS Transactions on Education. Vol: 19, Issue: 1. INFORMS. link
  • Ali, A., Mancha, R., Pachamanova, D.A. (2018). Correcting Analytics Maturity Myopia. Business Horizons. Vol: 61, Issue: 3, Page: 211-219. link
  • Kokina, J., Mancha, R., Pachamanova, D.A. (2017). Blockchain: Emergent Industry Adoption and Implications for Accounting. Journal of Emerging Technologies in Accounting. Vol: 14, Issue: 2, Page: 91-100. American Accounting Association. link
  • Kokina, J., Pachamanova, D.A., Corbett, A.C. (2017). The Role of Data Visualization and Analytics in Performance Management: Guiding Entrepreneurial Growth Decisions. Journal of Accounting Education. Vol: 38, Page: 50-62. Elsevier.
  • Gulpinar, N., Pachamanova, D.A., Canakoglu, E. (2016). A Robust Asset-Liability Management Framework for Investment Products with Guarantees. OR Spectrum: Quantitative Approaches in Management. Vol: 38, Issue: 4, Page: 1007-1041. Springer. link
  • Pachamanova, D.A. (2015). Mapping Business Problems to Analytics Solutions: Surrogate Experiential Learning in an MBA Introductory Data Science and Business Analytics Course. INFORMS Transactions on Education. Vol: 16, Issue: 1, Page: 15-22. INFORMS. link
  • Lo, V.S., Pachamanova, D.A. (2015). From Predictive Uplift Modeling to Prescriptive Uplift Analytics: A Practical Approach to Treatment Optimization While Accounting for Estimation Risk. Journal of Marketing Analytics. Vol: 3, Issue: 2, Page: 79–95. Palgrave Macmillan. link
  • Pachamanova, D.A., Fabozzi, F.J. (2014). Recent Trends in Equity Portfolio Construction Analytics. Journal of Portfolio Management, The. Vol: 40, Issue: 3, Page: 137-151. Institutional Investor, Inc.. link
  • Gülpιnar, N., Canakoglu, E., Pachamanova, D.A. (2014). Robust investment decisions under supply disruption in petroleum markets. Computers & Operations Research. Vol: 44, Page: 75-91. Elsevier. link
  • Gülpinar, N., Pachamanova, D.A. (2013). A Robust Optimization Approach to Asset-Liability Management under Time-Varying Investment Opportunities. Journal of Banking & Finance. Vol: 37, Issue: 6, Page: 2031-2041. Elsevier BV, North-Holland.
  • Gülpinar, N., Pachamanova, D.A., Çanakoğlu, E. (2013). Robust Strategies for Facility Location under Uncertainty. European Journal of Operational Research. Vol: 225, Issue: 1, Page: 21-35. Elsevier BV, North-Holland. link
  • Benson, P., Casali, M., Pachamanova, D. (2012). Making Optimization Signficant: The Role of Statistical Analysis. Search Marketing Standard. Page: 16-19. Search Marketing Standard, Inc.. link
  • Low, C., Pachamanova, D., Sim, M. (2012). Skewness-Aware Asset Allocation: A New Theoretical Framework and Empirical Evidence. Mathematical Finance. Vol: 22, Issue: 2, Page: 379-410. Wiley-Blackwell Publishing, Inc..
  • Gulpinar, N., Katata, K., Pachamanova, D. (2011). Robust Portfolio Optimization under Discrete Asset Choice Constraints. Journal of Asset Management. Vol: 12, Issue: 1, Page: 67-83. Palgrave Macmillan. link
  • Natarajan, K., Pachamanova, D.A., Sim, M. (2009). Constructing Risk Measures from Uncertainty Sets. Operations Research. Vol: 57, Issue: 5, Page: 1129-1141. INFORMS.
  • Elanjian, M., Pachamanova, D.A. (2009). Is Revenue Sharing Working for Major League Baseball? A Historical Perspective. Sport Journal, The. Vol: 12, Issue: 2.
  • Natarajan, K., Pachamanova, D., Sim, M. (2008). Incorporating Asymmetric Distributional Information in Robust Value-at-Risk Optimization. Management Science. Vol: 54, Issue: 3, Page: 573-585.
  • Pachamanov, R.A., Pachamanova, D.A., Tsankov, B. (2008). Optimal Resource Allocation in WiMax. Electrotechnica & Electronica. Vol: 43, Issue: 1-2, Page: 41-47. Union of Electronics, Electrical Engineering and Telecommunications (CEEC).
  • Pachamanov, A., Pachamanova, D. (2008). Optimization of the Light Distribution of Luminaries for Tunnel and Street Lighting. Engineering Optimization. Vol: 40, Issue: 1, Page: 47-65. Taylor & Francis.
  • Pachamanova, D.A., Tsankov, B., Pachamanov, R. (2008). Resource Planning for Voice over Wireless Both-Way Transmission Media. Radioengineering. Vol: 17, Issue: 1, Page: 78-81.
  • Bertsimas, D., Pachamanova, D.A. (2008). Robust Multiperiod Portfolio Management with Transaction Costs. Computers and Operations Research. Vol: 35, Issue: 1, Page: 3-17. Elsevier.
  • Ansari, S.L., Nanni, A.J., Pachamanova, D.A., Kopcso, D.P. (2008). Using Simulation to Model Customer Behavior in the Context of Customer Lifetime Value Estimation. INFORMS Transactions on Education. Vol: 9, Issue: 1, Page: 1-10. Institute for Operations Research and the Management Sciences (INFORMS). link
  • Hicks, C.B., Pachamanova, D.A. (2007). Back-Propagation of User Innovations: The Open Source Compatibility Edge. Business Horizons. Vol: 50, Issue: 4, Page: 315-324.
  • Truman, G., Pachamanova, D.A., Goldstein, M. (2007). InterCon Travel Health Case Study. Journal of the Academy of Business Education. Vol: 8, Issue: Summer, Page: 17-32.
  • Tsankov, B., Pachamanov, R.A., Pachamanova, D.A. (2007). Modified Brady Voice Traffic Model for WLAN and WMAN. Electronics Letters. Vol: 43, Issue: 23, Page: 1295-1297 .
  • Fabozzi, F.J., Kolm, P.N., Pachamanova, D.A., Focardi, S.M. (2007). Robust Portfolio Optimization: Recent Trends and New Directions. Journal of Portfolio Management. Vol: 33, Issue: 3.
  • Pachamanova, D.A. (2006). Handling Parameter Uncertainty in Portfolio Risk Minimization: The Robust Optimization Approach. Journal of Portfolio Management. Vol: 32, Issue: 4, Page: 70-78.
  • Pachamanova, D.A. (2006). Introducing Integer Modeling with Excel Solver. INFORMS Transactions on Education. Vol: 7, Issue: 1, Page: 89-99.
  • Hicks, C.B., Pachamanova, D.A. (2005). Metamodeling with Perl and AMPL. Dr. Dobb’s Journal: Software Tools for the Professional Programmer. Vol: 30, Issue: 1, Page: 16-22.
  • Bertsimas, D., Pachamanova, D., Sim, M. (2004). Robust Linear Optimization under General Norms. Operations Research Letters. Vol: 32, Issue: 6, Page: 510-516.

Books

  • Pachamanova, D.A., Fabozzi, F.J. (2016). Portfolio Construction and Analytics. J. Wiley & Sons. link
  • Pachamanova, D.A., Fabozzi, F.J. (2010). Simulation and Optimization in Finance: Modeling with MATLAB, @RISK, or VBA. Page: 800. J. Wiley & Sons. link
  • Fabozzi, F.J., Kolm, P.N., Pachamanova, D.A., Focardi, S.M. (2007). Robust Portfolio Optimization and Management. J. Wiley & Sons. link

Cases and Teaching Notes

  • Pachamanova, D.A., Tilson, V., Dwyer-Matzky, K. (2022). A Data-Driven Approach to Improving Hospital Observation Unit Operations. Vol: 22, Issue: 3, Page: 188-194. INFORMS.
  • Kopcso, D.P., Pachamanova, D.A. (2018). Managing Staffing Inefficiencies Using Analytics (B). Vol: 19, Issue: 1, Page: 36-42. INFORMS. link
  • Pachamanova, D.A. (2015). Managing Staffing Inefficiencies Using Analytics. Vol: 16, Issue: 1, Page: 23. INFORMS Transactions on Education. link
  • Nanni, A.J., Pachamanova, D.A., Shanks, J.E. (2010). Even' Star Organic Farm: IMA Educational Case Journal. Vol: 3, Issue: 3, Page: 1-4. Institute of Management Accountants.
  • Truman, G., Pachamanova, D.A., Goldstein, M.A. (2010). InterCon Travel Health Case Study (B): Journal of Information Systems Education. Vol: 21, Issue: 1.

Book Chapters

  • Pachamanova, D.A., Gulpinar, N., Canakoglu, E. (2016). Robust Approaches to Pension Fund Asset-Liability Management under Uncertainty: Optimal Financial Decision Making under Uncertainty. Springer International Publishing. link
  • Pachamanova, D.A. (2013). Robust Portfolio Selection: Wiley Encyclopedia of Operations Research and Management Science. Page: 1-12. Wiley.
  • Pachamanova, D.A., Fabozzi, F.J. (2012). Equity Portfolio Selection Models in Practice: The Encyclopedia of Financial Models. Vol: 2, Page: 61‐87. Wiley.
  • Pachamanova, D.A., Fabozzi, F.J. (2012). Introduction to Financial Modeling with MATLAB: The Encyclopedia of Financial Models. Vol: 3, Page: 417‐448. Wiley.
  • Pachamanova, D.A., Fabozzi, F.J. (2012). Introduction to Visual Basic: The Encyclopedia of Financial Models. Vol: 3, Page: 449-468. Wiley.
  • Pachamanova, D.A., Fabozzi, F.J. (2012). Modeling Asset Price Dynamics: The Encyclopedia of Financial Models. Vol: 1. Wiley.
  • Pachamanova, D.A. (2012). Monte Carlo Simulation in Finance: The Encyclopedia of Financial Models. Vol: 3, Page: 637‐652. Wiley.
  • Pachamanova, D.A., Kolm, P.N., Fabozzi, F.J., Focardi, S.M. (2012). Robust Portfolio Optimization: The Encyclopedia of Financial Models. Vol: 3, Page: 137‐147. Wiley.
  • Pachamanova, D., Fabozzi, F.J. (2011). Equity Portfolio Selection in Practice: Equity Valuation and Portfolio Management. Page: 441-482. J. Wiley & Sons.
  • Pachamanova, D.A., Fabozzi, F.J. (2011). Modeling Asset Price Dynamics: The Theory and Practice of Investment Management: Asset Allocation, Valuation, Portfolio Construction, and Strategies. Issue: 2, Page: 125-158. J. Wiley & Sons.
  • Pachamanova, D.A. (2008). Monte Carlo Simulation in Finance: Handbook of Finance. Vol: 3. J. Wiley & Sons.
  • Kolm, P.N., Fabozzi, F.J., Focardi, S.M., Pachamanova, D.A. (2008). Quantitative Investment Management Today and Tomorrow: Handbook of Finance. Vol: 3. J. Wiley & Sons.
  • Pachamanova, D.A., Kolm, P.N., Fabozzi, F.J., Focardi, S.M. (2008). Robust Portfolio Optimization: Handbook of Finance. Vol: 3. J. Wiley & Sons.

Conference Proceedings

  • Tilson, V., Xiao, S., Pachamanova, D.A., Dwyer-Matzky, K. (2024). Assessing the Effect of Capacity Balancing Algorithms for Observation Status Patient Placement on Emergency Department Crowding : 2024 Hawaii International Conference on System Sciences (HICSS). 2024 Hawaii International Conference on System Sciences (HICSS) Conference Proceedings.
  • Canellas, M., Pachamanova, D.A., Perakis, G., Skali Lami, O., Tsiourvas, A. (2022). 75 Disparities in Emergency Department Wait Times for Female, Transgender Female, Black and Non-English-Speaking Patients. Vol: 80, Issue: 4, Page: S39. Annals of Emergency Medicine. link
  • Canellas, M., Pachamanova, D.A., Perakis, G., Skali Lami, O., Tsiourvas, A. (2021). 172 A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Actionable Insights. Vol: 78, Issue: 4, Page: S69. Annals of Emergency Medicine. link
  • Nanni, A.J., Pachamanova, D.A., Shanks, J.E. (2008). Even'Star Organic Farm: A Case Study.
  • Pachamanov, R., Pachamanova, D.A., Tsankov, B. (2007). An Optimization-Based Admission Control Method for IEEE 802.16 Wireless Networks.
  • Snow, T., Pachamanova, D.A. (2007). What Drives the Demand for In-Vitro Fertilization? A Multivariate Statistical Analysis of the Utilization of Assisted Reproductive Technologies in the United States: 1995-2004. Vol: 88, Page: S252.

Presentations

  • A Granular Approach to Optimal and Fair Patient Placement in Hospital Emergency Departments Canellas, M. Pachamanova, D. Perakis, G. Tsiourvas, A. Skali Lami, O. 33rd European Conference on Operational Research, Copenhagen, Denmark (2024)
  • Capacity Balancing Algorithm for Placement of Observation Patients: Assessing the Effect on ED Crowding Tilson, V. Xiao, S. Pachamanova, D. Dwyer-Matzky, K. 33rd European Conference on Operational Research, Copenhagen, Denmark (2024)
  • Interpretable, Data-Driven Patient Grouping for Sepsis Treatment Decision Support Le, L. Lin, A. Pachamanova, D. Perakis, G. SHM Converge Research, Innovations, and Clinical Vignette Scientific Abstract Competition, San Diego, CA (2024)
  • Assessing the Effect of Capacity Balancing Algorithms for Observation Status Patient Placement on Emergency Department Crowding Tilson, V. Xiao, S. Pachamanova, D. Dwyer-Matzky, K. Decision Sciences Institute Annual Conference, Atlanta, GA (2023)
  • Humanitarian Supply Chains and Inventory Management: Planning Medical Supply at the International Committee of the Red Cross Thakur-Weigold, S. Tilson, V. Pachamanova, D. El Sayed Mohamad, S. Featured Session: AWARD: Best Teaching Case Studies Award Competition Finalist, Decision Sciences Institute Annual Conference, Atlanta, GA (2023)
  • Assessing the Impact of Hospitalist Compliance with Providing Medically-Ready-for-Discharge Date on Patient Length of Stay Dwyer-Matzky, K. Pachamanova, D. Tilson, V. INFORMS Annual Meeting, Phoenix, AZ (2023)
  • An interpretable robust framework for sepsis treatment with limited resources Le, L. Lin, A. Pachamanova, D. Perakis, G. Skali Lami, O. 2023 Manufacturing and Service Operations Management (MSOM) Conference , Montreal, Canada (2023)
  • A Granular Approach to Optimal and Fair Patient Placement in Hospital Emergency Departments Canellas, M. Pachamanova, D. Perakis, G. Tsiourvas, A. Skali Lami, O. 33rd Annual POM Conference, Orlando, FL (2023)
  • Disparities in Emergency Department Wait Times for Female, Transgender Female, Black and Non-English-Speaking Patients Canellas, M. Pachamanova, D. Perakis, G. Skali Lami, O. Tsiourvas, A. American College of Emergency Physicians Research Forum, San Francisco, CA (2022)
  • Acceptable Set Topic Modeling Berk Wheelock, L. Pachamanova, D. Future of OR and Analytics, Indianapolis, IN (2022)
  • A Granular Approach to Optimal and Fair Patient Placement in Hospital Emergency Departments Canellas, M. Pachamanova, D. Perakis, G. Tsiourvas, A. Skali Lami, O. INFORMS Annual Meeting, Indianapolis, IN (2022)
  • AI-Enhanced Healthcare Task Management Glover, W. Li, Z. Pachamanova, D. INFORMS Annual Meeting, Indianapolis, IN (2022)
  • Interpretable Robust Framework for Resource Allocation for Sepsis Treatment Le, L. Lin, A. Pachamanova, D. Perakis, G. Skali Lami, O. INFORMS Annual Meeting, Indianapolis, IN (2022)
  • Observation Unit Routing Decisions with Consideration of Capacity Dwyer-Matzky, K. Pachamanova, D. Tilson, V. INFORMS Annual Meeting, Indianapolis, IN (2022)
  • A Granular Approach to Optimal and Fair Patient Placement in Hospital Emergency Departments Canellas, M. Pachamanova, D. Perakis, G. Tsiourvas, A. Skali Lami, O. INFORMS MSOM Conference, Munich, Germany (2022)
  • Predicting Clinical Outcomes of Sepsis to Inform Resource Allocation in the ICU Le, L. Lin, A. Pachamanova, D. Perakis, G. Skali Lami, O. MIT-AI Cures Conference, Cambridge, MA (2022)
  • A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Actionable Insights Canellas, M. Kotkowski, K. Pachamanova, D. Perakis, G. Skali Lami, O. Tsiourvas, A. American College of Emergency Physicians Research Forum, Boston, MA (2021)
  • A Real-Time Optimization Approach to Managing Hospital Observation Unit Utilization Dwyer-Matzky, K. Pachamanova, D. Tilson, . INFORMS Annual Meeting, Anaheim, CA (2021)
  • Acceptable Set Topic Modeling Berk Wheelock, L. Pachamanova, D. INFORMS Annual Meeting, Anaheim, CA (2021)
  • Improving Emergency Department Operations with Predictive-Prescriptive Analytics Canellas, M. Pachamanova, D. Perakis, G. Skali Lami, O. Tsiourvas, A. INFORMS Annual Meeting, Anaheim, CA (2021)
  • Toward Interpretable and More Efficient Offline Reinforcement Learning: Learning Minimal Representations Bennouna, A. Pachamanova, D. Perakis, G. Skali Lami, O. INFORMS Annual Meeting, Anaheim, CA (2021)
  • Human Trafficking in the Global Supply Chain: Using Machine Learning to Enhance Understanding of Corporate Disclosures under the UK Modern Slavery Act Nersessian, D. Pachamanova, D. Academy of Legal Studies in Business 96th Annual Conference, Virtual (2021)
  • Learning Optimal Sequential Treatments from Clinical Data Bennouna, A. Pachamanova, D. Perakis, G. Skali Lami, O. INFORMS Healthcare Conference, Virtual (2021)
  • Prescriptive Analytics Lo, V. Pachamanova, D. National Institute of Statistical Sciences Essential Data Science for Business Series, Virtual (2021)
  • Law, Ethics, and Machine Learning – Big Data Analytics and Corporate Reporting on Human Trafficking in the Global Supply Chain Nersessian, D. Pachamanova, D. Ethical Leadership and Legal Strategies for Post-2020 Organizations, Virtual (2021)
  • Learning Optimal Dynamic Treatments: A Novel Reinforcement Learning Approach Bennouna, M. Pachamanova, D. Perakis, G. Skali Lami, O. INFORMS Annual Meeting, Virtual (2020)
  • Machine Learning, Ethics, and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations Pachamanova, D. Tilson, V. Dwyer-Matzky, K. INFORMS Annual Meeting, Virtual (2020)
  • A Real-Time Optimization Approach to Managing Observation Unit Utilization Tilson, V. Pachamanova, D. Dwyer-Matzky, K. Conference on Health IT and Analytics (CHITA), Virtual (2020)
  • Panelist, Interdisciplinary Research at Babson College Nersessian, D. Beitelspacher, L. Wynstra, C. Pachamanova, D. Babson College Research Day, Wellesley, MA (2020)
  • Structuring Writing Assignments to Improve Analytics Course Outcomes Getchell, K. Pachamanova, D. 2019 INFORMS Annual Meeting, Seattle, WA (2019)
  • Drivers of Commercial Value for Healthcare Innovations Erzurumlu, S. Pachamanova, D. 2019 EURO Conference, Dublin, Ireland (2019)
  • Drivers of health care innovations Erzurumlu, S. Pachamanova, D. Production and Operations Management, Washington, DC (2019)
  • Text-Augmented Analytical Frameworks Pachamanova, D. MIT, Cambridge, MA (2019)
  • Drivers of Commercial Value for Healthcare Innovations Erzurumlu, S. Pachamanova, D. Babson Faculty Research Day, Wellesley, MA (2019)
  • The Medicare Hospital Readmissions Reduction Program: Consequences for Vulnerable and High-Risk Populations Gai, Y. Pachamanova, D. Babson Faculty Research Day, Wellesley, MA (2019)
  • Drivers of Commercial Value for Healthcare Innovations Pachamanova, D. Erzurumlu, S. 2018 INFORMS Annual Meeting, Phoenix, AZ (2018)
  • The Medicare Hospital Readmissions Reduction Program: Consequences for Vulnerable and High-Risk Populations Gai, Y. Pachamanova, D. Babson Faculty Research Discussion, Wellesley, MA (2018)
  • From Predictive Uplift Modeling to Prescriptive Uplift Analytics Pachamanova, D. Lo, V. Babson Faculty Research Day, Babson College (2017)
  • Trends in Portfolio Construction and Analytics Pachamanova, D. Industrial-Academic Workshop on Optimization in Finance and Risk Management, Toronto, CA (2015)
  • Recent Computational Trends and Opportunities in Equity Portfolio Optimization Pachamanova, D. APMOD 2014, Warwick, UK (2014)
  • R Workshop Pachamanova, D. Babson College Graduate School Business Analytics Students' Club, Wellesley, MA (2013)
  • Constructing Risk Measures from Uncertainty Sets Pachamanova, D. Best of Women in ORMS session, INFORMS , Phoenix, AZ (2012)
  • Tractable Asset-Liability Management Pachamanova, D. Session on Optimization in Finance, INFORMS , Phoenix, AZ (2012)
  • Skewness-Aware Asset Location Pachamanova, D. International Symposium on Mathematical Programming (ISMP) , Berlin, Germany (2012)
  • Robust Portfolio Optimization Pachamanova, D. Fidelity Investments, Strategic Advisors Group, Boston, MA (2009)
  • Robust Portfolio Optimization: Recent Trends and New Directions Pachamanova, D. Univeristy of Warwick Buisness School, Coventry, UK (2008)
  • Even’ Star Organic Farm Nanni, A. Pachamanova, D. Shanks, J. American Accounting Association-Management Accounting Section International Case and Research Conference, Long Beach, CA (2008)
  • Robust Portfolio Optimization: Recent Trends and New Opportunities Pachamanova, D. QWAFAFEW Monthly Meeting, Boston (2007)
  • What Drives the Demand for In-Vitro Fertilization? A Multivariate Statistical Analysis of the Utilization of Assisted Reproductive Technologies in the United States: 1995-2004 Snow, T. Pachamanova, D. Annual Meeting of the American Society for Reproductive Medicine, Washington, DC, USA (2007)
  • Robust Optimization: Applications for Risk Management and New Directions Pachamanova, D. Bentley College Math Department Seminar Series, Waltham, MA (2007)
  • An Optimization-Based Admission Control Method for IEEE 802.16 Wireless Networks Pachamanov, R. Pachamanova, D. Tsankov, B. IEEE Africon 2007 Conference , Namibia (2007)
  • Constructing Risk Measures from Uncertainty Sets Pachamanova, D. Sim, M. Natarajan, K. ICCOPT-MOPTA Conference on Continuous Optimization, Hamilton, Ontario, Canada (2007)
  • Robust Optimization and Portfolio Risk Measures Pachamanova, D. Natarajan, K. Sim, M. EUROXXII Operational Research Conference, Prague, Czech Republic (2007)
  • Introducing Integer Modeling with Excel Solver Pachamanova, D. INFORMS Annual Meeting, Pittsburgh, PA (2006)
  • Tractable Parametric VaR Optimization Natarajan, K. Pachamanova, D. Sim, M. INFORMS Annual Meeting, Pittsburgh, PA (2006)
  • A Tractable Probabilistic Approach to VaR Optimization Pachamanova, D. Natarajan, K. Sim, M. , . EUROXXI Operational Research Conference, Reykjavik, Iceland (2006)
  • An Optimization Model for Control of Tunnel Lighting Using Power Line Carrier Communication Pachamanova, D. Pachamanov, A. Balkan Light'05 Conference, Cluj, Romania (2005)
  • The Profitability of Home Equity Protection Pachamanova, D. Malloy, T. Allietta, M. INFORMS Annual Meeting, Denver, CO (2004)
  • Robust Portfolio Shortfall Minimization Pachamanova, D. Lombardi, R. EURO XX Operational Research Conference, Rhodes, Greece (2004)
  • Robust Optimization: Norms, Convexity, and Applications Bertsimas, D. Pachamanova, D. Sim, M. INFORMS Annual Meeting, San Jose, CA (2003)
  • An Optimization Model for Determining the Optimal Voltage Regime in Industrial Electric Power Supply Systems Pachamanova, D. Pachamanov, A. Bibev, D. Balkan Conference on Electric Supply and Equipment Conference, Sofia, Bulgaria (2003)
  • Robust Multiperiod Portfolio Management with Transaction Costs Pachamanova, D. Bertsimas, D. Euro-INFORMS Meeting, Istanbul, Turkey (2003)
  • Dimming of Artificial Lighting in Threshold and Transition Zones of Road Tunnels Pachamanova, D. Pachamanov, A. Pregyov, B. Ratz, N. Balkan Light'02 Conference , Istanbul, Turkey (2002)
  • Optimization of Artificial Lighting in Road Tunnels Pachamanova, D. Pachamanov, A. Pregyov, B. Balkan Light'02 Conference, Istanbul, Turkey (2002)
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Additional Links

Professional Services

  • Member, Advisory Board Harvard Data Science Review (2023 - Present)
  • Editor, Associate Editor IMA Journal of Management Mathematics (2022 - Present)
  • Editorial Review Board Member Journal of Financial Data Science (2022 - Present)
  • Area Editor (Cases) INFORMS Transactions on Education (2020 - Present)
  • Editorial Review Board Member Frontiers in Mathematical Finance (2014 - Present)
  • Member INFORMS Professional Development Committee (2013 - Present)
  • Member INFORMS Franz Edelman Award Committee for Achievement in Advanced Analytics, Operations Research, and Management Science (2023 - 2024)
  • Chair 2023 INFORMS Case Competition (2022 - 2023)
  • Judge 2022 INFORMS Case Competition (2021 - 2022)
  • Judge WPI Graduate Research Innovation Exchange (GRIE) (2022 - 2022)
  • Committee Member INFORMS Pro Bono Committee (2019 - 2022)
  • Search Committee Member Editor-in-Chief, INFORMS Transactions on Education (2021 - 2021)
  • Judge Freedman Healthcare “Price Is Your Right” Challenge (2019 - 2019)
  • Committee Member 2020 INFORMS Student Analytics Competition Organizing Committee (2019 - 2019)
  • Guest Editor, Special Issue on Non-Convex Portfolio Optimization The Engineering Economist (2018 - 2019)
  • Committee Member 2019 INFORMS Student Analytics Competition Judging Committee (2018 - 2019)
  • Member, Organizing Committee 2019 INFORMS Student Analytics Competition (2018 - 2018)
  • Competition Judge 2018 INFORMS Student Analytics Competition (2018 - 2018)

Professional Memberships

  • American Statistical Association (2015 - Present)
  • Decision Sciences Institute (2003 - Present)
  • Institute for Operations Research and Management Science (1997 - Present)

Department & College Wide Services

  • Concentration Co-Advisor, MBA Business Analytics Concentration (Fall 2013 - Present)
  • Concentration Co-Advisor, Undergraduate Business Analytics Concentration (Fall 2013 - Present)
  • Concentration Co-Advisor, Undergraduate Computational Finance Concentration (Spring 2012 - Present)
  • Babson Faculty Research Fund (Fall 2020 - Spring 2026)
  • Babson Faculty Research Fund (Fall 2023 - Spring 2024)
  • Faculty Senate (Fall 2021 - Spring 2024)
  • Babson Faculty Research Fund (Fall 2021 - Spring 2023)
  • Babson Faculty Research Fund (Fall 2021 - Spring 2023)
  • Faculty Advisor, MBA Business Analytics Club (Summer 2013 - Spring 2019)
  • MS in Accounting Curriculum Design Committee (Spring 2017 - Summer 2018)
  • Graduate Academic Policy Committee (Fall 2015 - Spring 2018)
  • Weissman Scholars Program Faculty Advisor (Fall 2015 - Spring 2017)
  • Faculty Advisor, Undergraduate Data Analytics Club (BUDAC) (Fall 2014 - Spring 2017)
  • MS in Business Analytics Task Force (Spring 2016 - Fall 2016)
  • EdX Task Force (Fall 2015 - Spring 2016)