PIAS Lab
@piaslab
Public Impact Analytics Science Lab at @Harvard ๐ Advancing and applying analytics for solving societal problems with public impact | Director @Soroush_Saghaf
ID: 1516961592449118213
http://www.piaslab.hks.harvard.edu/ 21-04-2022 02:07:05
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#MRCBG's Soroush Saghafian (PIAS Lab) is interviewed in The Chosun Daily about #AI and how it can reduce work and increase efficiency while enhancing the treatment options for patients and doctors to select from. Google Translated to English - www-chosun-com.translate.goog/economy/weeklyโฆ
๐ Huge congratulations to our brilliant postdoctoral fellow Sina Aghaei on his new role at @MetaAI! Your creativity and rigor have made a lasting impact on the lab โ weโre proud and excited to see the amazing work youโll do next!
Unfortunately, one of the many grants canceled at Harvard University was my T32 in Comparative Effectiveness Research for Suicide Prevention If youโre coming to #SMDM47 Society for Medical Decision Making (SMDM) come see the previously funded great work we are doing at Brigham and Women's Hospital related to suicide prevention
๐จ Event Alert ๐จ Can LLMs be trusted in healthcare? Join Prof. Soroush Saghafian and a powerhouse panel of experts from Mayo Clinic, Microsoft, Oracle & more to explore the promise and peril of AI in clinical care. ๐ June 2 | ๐ 5PM ET | ๐ป Online ๐ world-salon.com/event/90?mc_ciโฆ
From Dr. Soroush Saghafianโs recent workshop on Machine Learning and Big Data: Implications for Public Policy โ bringing together curious minds to explore how analytics can shape smarter, more equitable policies. Harvard Kennedy School
๐ธ from Soroush Saghafianโs recent workshop on the U.S. Health Care System and Value-Based Health Care implementation challenges at the Value-Based Health Care Summit, organized by The Decision Group and The Decision Institute.
We are very excited to welcome Dr. Minmin Zhang (The Jindal School) to the PIAS Lab as our newest postdoctoral fellow! ๐ Minmin brings deep expertise in healthcare operations, causal inference, and machine learning. Welcome, Minmin!
Our 2024 paper published by Harvard Data Science Review sheds light on how effective #Generative #AI models have moved from simple AI to ๐๐๐๐๐-๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐. Take a look if you are looking into ways to make your AI models more effective. ๐๐๐ hdsr.mitpress.mit.edu/pub/3rvlzjtw