Shubham Akshat
Visiting Assistant Professor (OM)
Tepper School of Business,
Carnegie Mellon University, USA
Visiting Assistant Professor (OM)
Tepper School of Business,
Carnegie Mellon University, USA
Research area: I am primarily interested in improving public sector operations. I have worked on the liver-organ transplantation (healthcare), and child welfare system. I study the optimal resource allocation (livers, caseworker workload, or case admission) policies in a data-driven framework.
Methods: I use empirical methods (structural estimation) in my research. I also frequently use math programming (Integer programming, probabilistic models) and discrete-event simulation in my projects.
Education: Ph.D. in Operations Management (OM): University of Maryland (College Park, MD, USA) in 2022; Bachelors in Industrial Engineering: Indian Institute of Technology (New Delhi, India) in 2013.
Research collaboration: In my research, I work closely with the stakeholders (includes surgeons, biostatisticians, and public officials). I have had the priviledge of collaborating with (in no particular order) S. Raghavan (Ph.D. advisor), Alan Scheller-Wolf, Liye Ma, Sommer E. Gentry, and others on various projects.
Industry experience: Before starting my doctoral studies, I worked in the supply chain industry for around three years in India. I looked into the supply chain of computers, home appliances, and pharmaceutical products. It also involved field visits and interactions with the stakeholders.
Publications
Improving Broader Sharing to Address Geographic Inequity in Liver Transplantation (with Liye Ma and S. Raghavan). Manufacturing & Service Operations Management, 25(4), 2023.
Methodology: Econometrics (Structural model), Simulation
Accepted at the 2021 MSOM Healthcare SIG Meeting
Previously circulated under the title, 'Does Broader Sharing Improve Patient Outcomes? An Analysis of The Share 35 Liver Allocation Policy'
Heterogeneous Donor Circles for Fair Liver Transplant Allocation (with S. Raghavan and Sommer E. Gentry). Health Care Management Science, 2022 (forthcoming).
Methodology: Mixed-Integer Programming, Simulation
Work invited to the Economics of Transplantation Workshop at the Stanford University (2020)
Selected for presentation at the 4th MD4SG workshop in August 2020 (Acceptance rate: 29%)
Under Review:
Closing the Gap: Enhancing Geographic Equity under the Continuous Distribution Organ Allocation Policy (With S. Raghavan and Nicholas L. Wood).
Methodology: Probabilistic model, Mixed-Integer Programming, Simulation
Ongoing Work
Improving Process Flow in a Child-Welfare System: A Data-Driven Approach (with Alan Scheller-Wolf, Justine Galbraith and Lindsey Lacey).
Investigating Randomness in a Transplant Program’s Organ-Acceptance Behavior due to Regulations (with Liye Ma).
Awards & Honors
2021 Abraham Golub Dissertation Proposal Prize, University of Maryland at College Park
2020 Best Paper Award (Finalist), INFORMS Public Sector Operations Research
2020 Best Paper Award (Honorable Mention), College of Healthcare Operations Management (CHOM), POMS
2020 and 2021Jacob K. Goldhaber Travel Grant, University of Maryland at College Park
2021 International Conference Student Support, University of Maryland at College Park
2020 Outstanding Graduate Assistantship Award, University of Maryland at College Park
2018, 2019 and 2020 Smith School Summer Fellowship, University of Maryland at College Park