Soroush Saghafian: Difference between revisions
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| name = Soroush Saghafian |
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Revision as of 17:54, 16 May 2024
 | This article, Soroush Saghafian, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
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| This article, Soroush Saghafian, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
Comment: Please review WP:GNG and WP:NPROF. As well, review WP:SIRS and on the talk page list the WP:THREE that satisfy the notability requirements. UtherSRG (talk) 13:09, 16 February 2024 (UTC)
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 focuses on developing and applying methods in Operations Research and Management Science to address societal problems in healthcare.[2] Saghafian introduced 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 in 2005, and an M.S. in Mathematics from the University of Michigan in 2009. He holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan, awarded in 2012.[6]
Career
Saghafian is an Associate Professor of Public Policy at the Kennedy School of Government at Harvard University. He is also 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.[7] At Harvard, he teaches courses on machine learning, data analytics, and operations management. His research has been published in prominent journals such as Management Science, Operations Research, Manufacturing & Service Operations Management, and National Academy of Medicine. Saghafian serves on the editorial boards of Operations Research, Management Science, and INFORMS Service Science.[8] His research has been supported by the National Science Foundation, Department of Defense (Congressionally Directed Medical Research Programs), and the Mayo Clinic.
Saghafian has been featured in numerous media outlets for his work on healthcare policy and operations research. He has been interviewed by PBS NewsHour[9], NBC News[10], and Euronews[11] among others. His research on hospital closures, vertical integration in medicine, and the impact of artificial intelligence on healthcare has received widespread attention.[12]
Awards and recognition
Saghafian has received several awards for his research, including the INFORMS MSOM Young Scholar Prize in 2021 for outstanding contributions to scholarship in operations management,[13] and the inaugural INFORMS 2020 Mehrotra Research Excellence Award for significant contributions to the practice of health applications through operations research and management science methodologies.[14]
External links
- Soroush Saghafian publications indexed by Google Scholar
References
- ^ "Soroush Saghafian, Associate Professor". Harvard Kennedy School. Retrieved 16 February 2024.
- ^ "Soroush Saghafian - Google Scholar". Google Scholar. Retrieved 16 February 2024.
- ^ 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". Harvard Scholar. Retrieved 16 February 2024.
- ^ "Soroush Saghafian CV". Harvard Scholar. Retrieved 16 February 2024.
- ^ "Soroush Saghafian, Faculty Affiliate of the Harvard Ariadne Labs". Ariadne Labs. Retrieved 16 February 2024.
- ^ "Management Science editorial board". INFORMS. Retrieved 16 February 2024.
- ^ "Decades after Historic Black Hospital Closes, Former Nurses Fight to Keep the Memory Alive". PBS NewsHour. Retrieved 16 February 2024.
- ^ "Atlanta's Health Care System Is Strained by Major Hospital's Closing, Doctors and Patients Say". NBC News. Retrieved 16 February 2024.
- ^ "AI May Help to Predict How Patients Respond to Antidepressant Treatment". Euronews. Retrieved 16 February 2024.
- ^ "Hospitals Swallowing Independent Practices Found to Lead to Higher Costs, Worse Patient Health Outcomes". Medical Xpress. Retrieved 16 February 2024.
- ^ "INFORMS MSOM Young Scholar Prize (2021)". INFORMS. Retrieved 16 February 2024.
- ^ "INFORMS 2020 Mehrotra Research Excellence Award". INFORMS. Retrieved 16 February 2024.
