
PIAS Lab
@piaslab
Public Impact Analytics Science Lab at @Harvard 📈 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
391 Tweet
305 Takipçi
239 Takip Edilen



#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/weekly…

🎉 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 — we’re proud and excited to see the amazing work you’ll do next!

Unfortunately, one of the many grants canceled at Harvard University was my T32 in Comparative Effectiveness Research for Suicide Prevention If you’re 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


🚨 Event Alert 🚨 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. 📅 June 2 | 🕔 5PM ET | 💻 Online 🔗 world-salon.com/event/90?mc_ci…




From Dr. Soroush Saghafian’s recent workshop on Machine Learning and Big Data: Implications for Public Policy — bringing together curious minds to explore how analytics can shape smarter, more equitable policies. Harvard Kennedy School


📸 from Soroush Saghafian’s 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! 🎉 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 𝒉𝒖𝒎𝒂𝒏-𝒂𝒍𝒈𝒐𝒓𝒊𝒕𝒉𝒎 𝒄𝒆𝒏𝒕𝒂𝒖𝒓𝒔. Take a look if you are looking into ways to make your AI models more effective. 👇👇👇 hdsr.mitpress.mit.edu/pub/3rvlzjtw