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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 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|arxiv=2112.04571 }}</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>
'''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|website=Harvard Kennedy School|access-date=16 February 2024}}</ref> His work focuses on developing and applying methods in [[Operations Research]] and [[Management Science]] to address societal problems in healthcare.<ref>{{Cite web|url=https://scholar.google.com/citations?user=04r7ANkAAAAJ&hl=en|title=Soroush Saghafian - Google Scholar|website=Google Scholar|access-date=16 February 2024}}</ref> Saghafian introduced 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|website=Harvard Scholar|access-date=16 February 2024}}</ref>


== Education ==
== 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.<ref>{{Cite web|url=https://scholar.harvard.edu/saghafian/biocv|title=Soroush Saghafian CV|website=Harvard Scholar|access-date=16 February 2024}}</ref>

⚫
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 ==
== 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.<ref>{{Cite web|url=https://www.ariadnelabs.org/about-us/people/associate-faculty/|title=Soroush Saghafian, Faculty Affiliate of the Harvard Ariadne Labs|website=Ariadne Labs|access-date=16 February 2024}}</ref> 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 (journal)|Management Science]]'', ''[[Operations Research (journal)|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''.<ref>{{Cite web|url=https://pubsonline.informs.org/page/mnsc/editorial-board|title=Management Science editorial board|website=INFORMS|access-date=16 February 2024}}</ref> 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]]<ref>{{Cite web|url=https://www.pbs.org/newshour/health/decades-after-historic-black-hospital-closes-former-nurses-fight-to-keep-the-memory-alive|title=Decades after Historic Black Hospital Closes, Former Nurses Fight to Keep the Memory Alive|website=PBS NewsHour|access-date=16 February 2024}}</ref>, [[NBC News]]<ref>{{Cite web|url=https://www.nbcnews.com/news/nbcblk/atlantas-health-care-system-strained-major-hospitals-closing-doctors-patients-say-rcna51055|title=Atlanta’s Health Care System Is Strained by Major Hospital’s Closing, Doctors and Patients Say|website=NBC News|access-date=16 February 2024}}</ref>, and [[Euronews]]<ref>{{Cite web|url=https://www.euronews.com/next/2022/11/30/ai-may-help-to-predict-how-patients-respond-to-antidepressant-treatment|title=AI May Help to Predict How Patients Respond to Antidepressant Treatment|website=Euronews|access-date=16 February 2024}}</ref> among others. His research on hospital closures, vertical integration in medicine, and the impact of artificial intelligence on healthcare has received widespread attention.<ref>{{Cite web|url=https://medicalxpress.com/news/2022-03-hospitals-swallowing-independent-higher-patient.html|title=Hospitals Swallowing Independent Practices Found to Lead to Higher Costs, Worse Patient Health Outcomes|website=Medical Xpress|access-date=16 February 2024}}</ref>
⚫
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.<ref>{{Cite web|url=https://www.ariadnelabs.org/about-us/people/associate-faculty/|title=Soroush Saghafian, Faculty Affiliate of the Harvard Ariadne Labs}}</ref> 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 (journal)|''Management Science '']], [[Operations Research (journal)|''Operations Research'']], ''[[Manufacturing & Service Operations Management]]'', and ''[[National Academy of Medicine]]''. Saghafian serves on the editorial board of [[Operations Research (journal)|''Operations Research'']], [[Management Science (journal)|''Management Science '']], and [[INFORMS|''INFORMS Service Science'']].<ref>{{Cite web|url=https://pubsonline.informs.org/page/mnsc/editorial-board|title=Management Science editorial board.}}</ref> His research has been supported through the [[National Science Foundation]] and [[Mayo Clinic]].


⚫
== Awards and recognition ==


⚫
== 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]].''”<ref>{{Cite web|url=https://www.informs.org/Recognizing-Excellence/Community-Prizes/Manufacturing-and-Service-Operations-Management/MSOM-Young-Scholar-Prize|title=INFORMS MSOM Young Scholar Prize (2021)}}</ref>
Saghafian has received several awards for his research, including the '''[[Institute for Operations Research and the Management Sciences|INFORMS]] MSOM Young Scholar Prize''' in 2021 for outstanding contributions to scholarship in [[operations management]],<ref>{{Cite web|url=https://www.informs.org/Recognizing-Excellence/Community-Prizes/Manufacturing-and-Service-Operations-Management/MSOM-Young-Scholar-Prize|title=INFORMS MSOM Young Scholar Prize (2021)|website=INFORMS|access-date=16 February 2024}}</ref> 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.<ref>{{Cite web|url=https://connect.informs.org/healthapplications/awards/sanjay-panna-mehrotra-award|title=INFORMS 2020 Mehrotra Research Excellence Award|website=INFORMS|access-date=16 February 2024}}</ref>
<ref>{{Cite web|url=https://connect.informs.org/healthapplications/awards/sanjay-panna-mehrotra-award|title=INFORMS 2020 Mehrotra Research Excellence Award}}</ref>


== External links ==
== External links ==

Revision as of 17:52, 16 May 2024

Soroush Saghafian
Soroush Saghafian
Born
Iran
NationalityIranian/American
Alma materUniversity of Michigan (Ph.D.)
University of Michigan (M.S.)
Sharif University of Technology (M.S.)
AwardsINFORMS MSOM Young Scholar Prize
INFORMS Mehrotra Research Excellence Award
Scientific career
FieldsOperations Research
Management Science
InstitutionsHarvard 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]

References

  1. ^ "Soroush Saghafian, Associate Professor". Harvard Kennedy School. Retrieved 16 February 2024.
  2. ^ "Soroush Saghafian - Google Scholar". Google Scholar. Retrieved 16 February 2024.
  3. ^ 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.
  4. ^ Saghafian, Soroush (2023). "Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach". Management Science. doi:10.1287/mnsc.2022.00883.
  5. ^ "Public Impact Analytics Science Lab". Harvard Scholar. Retrieved 16 February 2024.
  6. ^ "Soroush Saghafian CV". Harvard Scholar. Retrieved 16 February 2024.
  7. ^ "Soroush Saghafian, Faculty Affiliate of the Harvard Ariadne Labs". Ariadne Labs. Retrieved 16 February 2024.
  8. ^ "Management Science editorial board". INFORMS. Retrieved 16 February 2024.
  9. ^ "Decades after Historic Black Hospital Closes, Former Nurses Fight to Keep the Memory Alive". PBS NewsHour. Retrieved 16 February 2024.
  10. ^ "Atlanta's Health Care System Is Strained by Major Hospital's Closing, Doctors and Patients Say". NBC News. Retrieved 16 February 2024.
  11. ^ "AI May Help to Predict How Patients Respond to Antidepressant Treatment". Euronews. Retrieved 16 February 2024.
  12. ^ "Hospitals Swallowing Independent Practices Found to Lead to Higher Costs, Worse Patient Health Outcomes". Medical Xpress. Retrieved 16 February 2024.
  13. ^ "INFORMS MSOM Young Scholar Prize (2021)". INFORMS. Retrieved 16 February 2024.
  14. ^ "INFORMS 2020 Mehrotra Research Excellence Award". INFORMS. Retrieved 16 February 2024.
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