Dr. Pachamanova’s research and consulting span multiple fields, including financial modeling, robust optimization, predictive analytics, operations, and simulation. She has authored and coauthored tens of articles in operations research, finance, accounting, engineering, marketing and management journals, 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. She co-designed Babson’s undergraduate and MBA business analytics concentration curricula and co-chaired the design task force for a Masters program in Business Analytics. Dr. Pachamanova has 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. She also serves on the INFORMS Continuing Education Committee.
Dr. Pachamanova holds an A.B. from Princeton University and a Ph.D. from the Sloan School of Management at the Massachusetts Institute of Technology.
Business Analytics; Financial Engineering; Operations Research