I graduated! So grateful for my fantastic mentors Stefan Wager, @lihua_lei_stat and @PaulFNiehaus and wonderful Stanford community.
Thrilled to start as an Assistant Professor at Columbia DRO! I'll be working on addressing societal challenges using ML + causal inference.
Earlier this summer, I defended my dissertation!
I'm incredibly grateful to my dissertation committee, @erikbryn, Chuck Eesley and @erichorvitz, all of whom were amazing advisors and mentors throughout my time at Stanford.
A huge thank you also to @Ananya_Sen_ for being a splendid co-author and mentor; to my examiners, @rameshjohari and @Diyi_Yang, who generously gave me thoughtful and thought-provoking feedback on my work; and to all colleagues and friends from @StanfordEng, @DigEconLab, @ECorner and the wider @StanfordHAI ecosystem.
Next up, I'm excited to be joining @Columbia_Biz as an Assistant Professor this summer and joining a wonderful set of new colleagues!
People today are drowning in awareness of suffering with nowhere productive to put it. This is a problem that social technology research can and should tackle!
At our #CSCW2026 workshop, we’ll spend the day planning/exploring how to design toward sustainable care.
Apply by Aug 3!
A little delayed, but I graduated from my PhD! 🎓
I'm forever grateful to my advisors @BeEngelhardt and @EmmaBrunskill , my committee members @lschmidt3 , @Emily_Alsentzer and John Duchi, and the many collaborators + friends + family who supported me along the way.
I’m not done working on healthcare! Next stop: research scientist @sprinterhealth , where I’ll be working on algorithms to prioritize and personalize preventive care.
Stay tuned for more!
After over 10 years at Stanford, it's time to leave :)
I will be joining UT Austin's CS department as an assistant professor in fall 2027! If you're excited to envision the future of interaction with AI, I'm recruiting PhD students this cycle. Come join me!
Honored to have our work covered by The Economist! We analyzed data from 23 countries that collectively account for 50% of the world's extreme poor to quantify what it would cost to end extreme poverty via direct cash transfers.
Full paper: https://t.co/ANEbhYD5qk
Economic growth miracles are hard. Putting a price on the alleviation of poverty is easier—and may be enough to prompt action https://t.co/LywKqC3MUn
Illustration: Álvaro Bernis
I’m excited to share that Bloom, where we ran a four week study on LLM health coaching, just won a Best Paper Award at CHI! 🏆
Paper: https://t.co/MRSQntEosA
Website: https://t.co/OOfGWqhcTf
Interest form: https://t.co/pkTxc3Lpua
Come see my talk! https://t.co/VfJFT7nXnf
[1/11]
Excited to share our new paper on sharp capacity scaling of the Muon optimizer! Joint work with @EshaanNichani Denny Wu @albertobietti@jasondeanlee:
https://t.co/v1k1B4mSkG (1/7)
One key differentiator between effective automation and AI slop is caring — how much developers care about output quality and how well they can identify deficiencies.
I love Catan. I’ve played in tournaments, won one, and competed in the Catan National Championships. That care motivated how I approached building a digital version of the game.
I set up an agentic loop where agents generate game logic, other agents play the game to surface errors, and every human intervention becomes part of a growing library of regression tests. The result: a reliable digital implementation of Catan, alongside LLM agents that can actually play the game.
Here's how I did it: https://t.co/XHOqm6Q6hA
Ever wondered what it would cost to end extreme poverty worldwide? In new work, we use advances in statistical learning to estimate these costs under realistic targeting constraints -- and the answer is much less than many assume.
Covered today in Vox: https://t.co/o27tp37r2R
this morning we posted machine-learned estimates of the cost of ~ending extreme poverty using direct income transfers. we get 0.3% of global GDP
I think this price is attractive! (it is a fraction of spend on, say, cosmetics or alcoholic beverages)
https://t.co/yYmV1cqgUP
✨I'm on the research scientist and postdoc job market! I'll be graduating from my PhD this academic year with a thesis that focuses on reinforcement learning and healthcare. ✨
Come do a PhD with me at Columbia!
My lab tackles basic problems in alignment, interpretability, safety, and capabilities of language systems. If you love adventuring in model internals and behaviors---to understand and improve---let's do it together!
pic: a run in central park
I DEFENDED MY PHD THIS WEEK! 🎉 So grateful for the guidance of my advisor and committee! Special thanks to my friends and family who supported me through every up and down 🥺🥰