Draft:Soroush Saghafian
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| Submission declined on 6 August 2024 by Mgp28 (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs to
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |  |
| Submission declined on 16 February 2024 by UtherSRG (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. Declined by UtherSRG 7 months ago. | |
Comment: The sources that are independent (not by the subject or his employer) are either lists or quotations of things he said, not significant coverage about him. Mgp28 (talk) 11:13, 6 August 2024 (UTC)
- 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 | |
|---|---|
 | |
| Born | |
| Nationality | Iranian-American |
| Alma mater | University of Michigan (Ph.D.) University of Michigan (M.S.) Sharif University of Technology (M.S.) |
| Known for | Ambiguous Partially Observable Markov Decision Processes Ambiguous Dynamic Treatment Regimes |
| Awards | INFORMS MSOM Young Scholar Prize (2021) INFORMS Mehrotra Research Excellence Award (2020) |
| Scientific career | |
| Fields | Operations Research Health Policy |
| Institutions | Harvard University |
Soroush Saghafian is an Iranian-American operations researcher and an associate professor of Public Policy at the John F. 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
[edit]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
[edit]Saghafian is an associate professor of Public Policy at the John F. Kennedy School of Government at Harvard University.[7] He is affiliated with several Harvard research centers, including the Harvard Center for Health Decision Science, the Harvard Mossavar-Rahmani Center for Business and Government, and the Harvard Data Science Initiative.[8] At Harvard, he teaches courses on machine learning, data analytics, and operations management.
His research has been published in journals such as Management Science, Operations Research, and the Journal of Economic Theory. He serves on the editorial boards of Management Science,[9] Operations Research,[10] and Service Science.[11]
Research Contributions
[edit]Saghafian's research focuses on applying operations research and artificial intelligence to improve healthcare delivery and medical decision-making. He proposed a combined human-algorithm approach to enhance the FDA's 510(k) medical device clearance process, which could reduce recalls and FDA workload significantly.[12] His work funded by the National Science Foundation resulted in the various new findings for treating patients who undergo transplantation and develop risks of New-Onset Diabetes After Transplantation (NODAT), and a new mathematical framework for sequential decision-making under both ambiguity and partial observability that was motivated by decision-making for such patients.[13]
In 2024, his lab received a nearly $3 million grant from the U.S. Department of Defense to leverage AI for creating personalized treatments for melanoma.[14] The project aims to use AI to analyze genomic data to improve immunotherapy treatments in collaboration with the Dana-Farber Cancer Institute.
Media Features
[edit]Saghafian has been featured in various media outlets for his work and expertise in healthcare policy and AI in medicine. In an interview with Fast Company, he discussed the transformative potential of AI in healthcare.[15] Euronews highlighted his expertise on the use of AI to predict patient responses to antidepressant treatment.[16]
He has also provided expert analysis on healthcare policy and AI issues in PBS NewsHour[17], NBC News[18], WJCL (TV)[19], and WFMJ.[20]
Awards and Recognition
[edit]- INFORMS MSOM Young Scholar Prize (2021) – For outstanding contributions to scholarship in Operations Management.[21]
- INFORMS Mehrotra Research Excellence Award (2020) – For significant contributions to health applications through operations research and management science methodologies.[22]
- INFORMS Pierskalla Award (2010) – For the best research paper in healthcare.[23]
Selected Publications
[edit]- Saghafian, S. (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, S. (2023). "Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach." Management Science. doi:10.1287/mnsc.2022.00883.
External links
[edit]- Soroush Saghafian publications indexed by Google Scholar
References
[edit]- ^ "Soroush Saghafian, Associate Professor". Harvard Kennedy School. 2 May 2024. Retrieved 26 September 2024.
- ^ "Soroush Saghafian - Google Scholar". Google Scholar. Retrieved 26 September 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. arXiv:2112.04571. doi:10.1287/mnsc.2022.00883.
- ^ "Public Impact Analytics Science Lab". Harvard Scholar. Retrieved 26 September 2024.
- ^ "Soroush Saghafian CV". Harvard Scholar. Retrieved 26 September 2024.
- ^ "Soroush Saghafian, Associate Professor". Harvard Kennedy School. 2 May 2024. Retrieved 26 September 2024.
- ^ "Soroush Saghafian - Center for Health Decision Science". Harvard T.H. Chan School of Public Health. Retrieved 26 September 2024.
- ^ "Management Science Editorial Board". INFORMS. Retrieved 26 September 2024.
- ^ "Operations Research Editorial Board". INFORMS. Retrieved 26 September 2024.
- ^ "Service Science Editorial Board". INFORMS. Retrieved 26 September 2024.
- ^ "Transforming FDA Clearance: How AI and Human Insight Can Improve Medical Device Safety". Devdiscourse. 18 July 2024. Retrieved 26 September 2024.
- ^ "Data-Driven Management of Post-Transplant Medications". National Science Foundation.
- ^ "FY23 Team Science Award". Congressionally Directed Medical Research Programs. Retrieved 26 September 2024.
- ^ "Five Takeaways from an AI Pioneer About Its Potential Impact in Healthcare". Fast Company. 2024. Retrieved 26 September 2024.
- ^ "AI May Help to Predict How Patients Respond to Antidepressant Treatment". Euronews. 12 February 2024. Retrieved 26 September 2024.
- ^ "Decades after Historic Black Hospital Closes, Former Nurses Fight to Keep the Memory Alive". PBS NewsHour. 15 December 2023. Retrieved 26 September 2024.
- ^ "Atlanta's Health Care System Is Strained by Major Hospital's Closing, Doctors and Patients Say". NBC News. 6 October 2022. Retrieved 26 September 2024.
- ^ "The dark side of ChatGPT". WJCL. 6 April 2023. Retrieved 26 September 2024.
- ^ "LOCAL IMPACT OF STEWARD HEALTH CLOSURES". WFMJ. 22 August 2024. Retrieved 26 September 2024.
- ^ "INFORMS MSOM Young Scholar Prize (2021)". INFORMS. Retrieved 26 September 2024.
- ^ "INFORMS 2020 Mehrotra Research Excellence Award". INFORMS. Retrieved 26 September 2024.
- ^ "INFORMS Pierskalla Award". INFORMS. Retrieved 26 September 2024.