Soroush Saghafian: Difference between revisions
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'''Soroush Saghafian''' is an Iranian-American academic, operations researcher, and a public policy professor at the [[Kennedy School of Government]] at [[Harvard University]].<ref>{{Cite web|url=https://www.hks.harvard.edu/faculty/soroush-saghafian|title=Soroush Saghafian, Associate Professor}}</ref> His work has focused on developing and applying methods in [[Operations Research]] and [[Management Science]] to examine societal problems in healthcare.<ref>{{Cite web|url=https://scholar.google.com/citations?user=04r7ANkAAAAJ&hl=en|title=Soroush Saghafian published works}}</ref> Saghafian invented the |
'''Soroush Saghafian''' is an Iranian-American academic, operations researcher, and a public policy professor at the [[Kennedy School of Government]] at [[Harvard University]].<ref>{{Cite web|url=https://www.hks.harvard.edu/faculty/soroush-saghafian|title=Soroush Saghafian, Associate Professor}}</ref> His work has focused on developing and applying methods in [[Operations Research]] and [[Management Science]] to examine societal problems in healthcare.<ref>{{Cite web|url=https://scholar.google.com/citations?user=04r7ANkAAAAJ&hl=en|title=Soroush Saghafian published works}}</ref> Saghafian invented the concepts of "''Ambiguous Partially Observable [[Markov Decision Processes]] (APOMDP)''" and "''Ambiguous Dynamic Treatment Regimes''" in Operations Research.<ref>{{Cite journal|last=Saghafian|first=Soroush|date=2018|title=Ambiguous partially observable Markov decision processes: Structural results and applications|journal=Journal of Economic Theory|volume=178|pages=1–35|doi=10.1016/j.jet.2018.08.006}}</ref> <ref>{{Cite journal|last=Saghafian|first=Soroush|date=2023|title=Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach|journal=Management Science|doi=10.1287/mnsc.2022.00883}}</ref> He is the founder and director of the '''Public Impact Analytics Science Lab (PIAS-Lab)''' at Harvard.<ref>{{Cite web|url=https://scholar.harvard.edu/saghafian/public-impact-analytics-science-lab-pias-lab-harvard|title=Public Impact Analytics Science Lab}}</ref> |
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== Education == |
== Education == |
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Revision as of 01:14, 16 February 2024
Soroush Saghafian | |
|---|---|
 Soroush Saghafian | |
| Born | |
| Nationality | Iranian/American |
| Alma mater | University of Michigan (Ph.D.) University of Michigan (M.S.) Sharif University of Technology (M.S.) |
| Awards | INFORMS MSOM Young Scholar Prize INFORMS Mehrotra Research Excellence Award |
| Scientific career | |
| Fields | Operations Research Management Science |
| Institutions | Harvard University |
Soroush Saghafian is an Iranian-American academic, operations researcher, and a public policy professor at the Kennedy School of Government at Harvard University.[1] His work has focused on developing and applying methods in Operations Research and Management Science to examine societal problems in healthcare.[2] Saghafian invented the concepts of "Ambiguous Partially Observable Markov Decision Processes (APOMDP)" and "Ambiguous Dynamic Treatment Regimes" in Operations Research.[3] [4] He is the founder and director of the Public Impact Analytics Science Lab (PIAS-Lab) at Harvard.[5]
Education
Saghafian obtained an M.S. degree in Industrial Engineering from Sharif University of Technology (2005) and M.S. in Mathematics from the University of Michigan (2009). He holds a Ph.D. from the University of Michigan (2012), Department of Industrial and Operations Engineering.
Career
Saghafian is an Associate Professor of Public Policy at the Kennedy School of Government at Harvard University. He also serves as a faculty affiliate for the Harvard Center for Health Decision Science, the Harvard Mossavar-Rahmani Center for Business and Government, the Harvard Data Science Initiative, and the Harvard Ariadne Labs.[6] At Harvard, he teaches machine learning, data analytics, and operations management. His work has appeared in various management, engineering, and medical journals such as Management Science , Operations Research, Manufacturing & Service Operations Management, and National Academy of Medicine. Saghafian serves on the editorial board of Operations Research, Management Science , and INFORMS Service Science.[7] His research has been supported through the National Science Foundation and Mayo Clinic.
Awards and recognition
Saghafian has received various awards for his research, including the Institute for Operations Research and the Management Sciences MSOM Young Scholar Prize (2021) "[for] outstanding contributions to scholarship in operations management," and the Inaugural INFORMS 2020 Mehrotra Research Excellence Award "for significant contributions to the practice of health applications through operations research and management science modeling and methodologies.”[8] [9]
External links
- Soroush Saghafian publications indexed by Google Scholar
References
- ^ "Soroush Saghafian, Associate Professor".
- ^ "Soroush Saghafian published works".
- ^ Saghafian, Soroush (2018). "Ambiguous partially observable Markov decision processes: Structural results and applications". Journal of Economic Theory. 178: 1–35. doi:10.1016/j.jet.2018.08.006.
- ^ Saghafian, Soroush (2023). "Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach". Management Science. doi:10.1287/mnsc.2022.00883.
- ^ "Public Impact Analytics Science Lab".
- ^ "Soroush Saghafian, Faculty Affiliate of the Harvard Ariadne Labs".
- ^ "Management Science editorial board".
- ^ "INFORMS MSOM Young Scholar Prize (2021)".
- ^ "INFORMS 2020 Mehrotra Research Excellence Award".
