Closing the retirement-savings gap
Behavioural heterogeneity meets conversational AI: a personalized agent for retirement-savings decisions. Fidelity Center for Applied Technology University Research Award.
Assistant Professor of Supply Chain and Analytics
Lally School of Management,
Rensselaer Polytechnic Institute (RPI)
My research combines data-driven optimization, machine learning, and artificial intelligence to generate managerial insights and decision tools that strengthen the reliability, resilience, and competitiveness of energy systems, supply chains, and healthcare operations. I have delivered analytic solutions for energy, healthcare, logistics, media, and sports organizations, and my work has been published in Operations Research, Production and Operations Management, the European Journal of Operational Research, and the INFORMS Journal on Applied Analytics, among other outlets.
I am an INFORMS Franz Edelman Laureate, a finalist for the EURO Excellence in Practice Award and the INFORMS Innovative Applications in Analytics Award, and a prizewinner of the INFORMS Revenue Management and Pricing Practice Award.
Behavioural heterogeneity meets conversational AI: a personalized agent for retirement-savings decisions. Fidelity Center for Applied Technology University Research Award.
Identifying what moves volatility in energy commodities, with the Center for Research toward Advancing Financial Technologies at Stevens and RPI.
A hybrid quantum-classical method for semidefinite programming problems, with the IBM-RPI Future of Computing Research Collaboration.
With A. Ivanov, U. K. Mukherjee, S. Bose, S. Seshadri, R. Watkins, A. C. England, J. Suriano and M. E. Ahsen. 27(1), 108770. DOI
With A. Ivanov, Z. Tacheva, A. Alzaidan and A. C. England. 32, 2400–2419. DOI
With S. Seshadri and S. Subramanian. 71(6), 2217–2231. DOI
With S. Hao, S. Bose, A. C. England, A. Ivanov, U. K. Mukherjee and S. Seshadri. 12, 16727. DOI