🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning Aishwarya Mandyam, Didong Li, Andrew Jones, Diana Cai, Barbara E Engelhardt. Action editor: Branislav Kveton. openreview.net/forum?id=B80WU… #bayesian #posterior #reinforcement

We have a new review on generative AI in medicine, to appear in the Annual Review of Biomedical Data Science! We cover *over 250 papers* in the recent literature to provide an updated overview of use cases and challenges for generative AI in medicine.

🎉 Wow, exciting news! My works in AI x Education are cited in the 2025 Economic Report of the President! The report recognizes AI's potential to augment human teaching and learning, reducing educational inequities at scale. Excited to see our work inform at a national level 📚

📢I am on the academic job market this year! My research interest involves utilizing AI and explainable AI to explore the mechanisms of aging and age-related diseases. I'm looking for faculty positions in AI for Biomedicine. Check out my website: qiuweipku.github.io

There are multiple postdoc positions available as part of an exciting new AI-agent initiative at Columbia that tackles challenges at the frontier of agentic systems and sequential decision-making. I am not very active here so please help me spread the word!

“the phd is like a marathon” experiment: run first marathon conclusion: phd is way worse than a marathon… also still haven’t finished phd 😭 jokes aside - thank you Aishwarya Mandyam for being a rockstar coach & friend ❤️

“At its best, when my colleagues and I are in sync, swapping ideas rapid-fire at the blackboard, nipping at the heels of understanding, math feels like communing with something greater. I feel so privileged to get to do this.” -ewin at the #BreakthroughPrize ceremony

Official news: I moved to Tokyo 🗼 Japan. Will be here for the next 3-4 years. If you are into AI Research, Education &| multimodal prototypes 🗻🍵 and 🚲 I would love to meet you! (RT appreciated)

What if LLMs could learn your habits and preferences well enough (across any context!) to anticipate your needs? In a new paper, we present the General User Model (GUM): a model of you built from just your everyday computer use. 🧵

Big congratulations to Rose on receiving her Stanford University PhD today!

Big congratulations to Kaitlyn Zhou ✈️ CSCW, EMNLP! on receiving her Stanford University PhD today!

Congratulations to Gabriel Poesia on receiving his Stanford University PhD today!

Today, I’m launching a deeply personal project. I’m betting $100M that we can help computer scientists create more upside impact for humanity. Built for and by researchers, including Jeff Dean & Joelle Pineau on the board, Laude Institute catalyzes research with real-world impact.

When you walk into the ER, you could get a doc: 1. Fresh from a week of not working 2. Tired from working too many shifts I’ve been both and believe me, they're different! And we can tell the difference, just from notes they write. Paper Nature Communications nature.com/articles/s4146…

Learning to live in "The Moat of Low Status" (the unpleasant experience of being bad at something when you first start doing it) is probably the best argument in favor of MD/PhD training. Every couple of years (at best), you build competency and then are immediately thrown into..

Thrilled to join the UMich faculty in 2026! I'll also be recruiting PhD students this upcoming cycle. If you're interested in AI and formal reasoning, consider applying!

I am presenting our position paper: "Societal Impacts Research Requires Benchmarks for Creative Composition Tasks" at #ICML2025 today at 11 am in #E-500! Come by and say hi! This paper won the Best Societal Impacts Paper Award at the Bi-align workshop 🎉🥳

📣 Excited to share our real-world study of an LLM clinical copilot, a collab between OpenAI and Penda Health. Across 39,849 live patient visits, clinicians with AI had a 16% relative reduction in diagnostic errors and a 13% reduction in treatment errors vs. those without. 🧵

🚨New workshop alert 🚨 Calling all RL researchers in the New York area 🧠🗽 Present your work at the first-ever New York Reinforcement Learning Workshop (NYRL), co-organized by Amazon, Columbia Business School & NYU Tandon School of Engineering. ny-rl.com