I am happy to share that I will be on the job market for the 2024–2025 cycle. I sincerely appreciate the support and guidance of my mentors and collaborators over the past few years. Here is my website: maxineyu.github.io/personal_web/ Please feel free to reach out to me to discuss any

📣Announcing the 2024 NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models 📣 Submissions open now, deadline September 15th sites.google.com/berkeley.edu/b… If your work intersects with statistics and black-box models, please submit! This includes: ✅ Bias ✅

Register here NSF Workshop on Data-driven Modeling and Prediction of Rare and Extreme Events, The University of Chicago Instit. for Mathematical & Statistical Innovation November 21-22, 2024: tinyurl.com/nsf-rare

We are pleased to announce the following IMS members have been selected to receive the 2025 IMS Lawrence D. Brown PhD Student Award: Louis V. Cammarata, Harvard Ying Jin, Harvard George Stepaniants, Cal Tech The next deadline is May 1: imstat.org/ims-awards/ims…

ISSI is back! We will have Will Fithian Will Fithian speaking on Monday, September 30th, at 8:30am PT / 11:30am ET / 4:30pm London / 6:30pm Tel Aviv. Come join us! Details can be found at selectiveinferenceseminar.com.

When LLM generates radiology reports for a batch of images, which of them are reliable enough to be handed over to doctors? Excited to share Conformal Alignment for identifying trustable outputs with FDR guarantee✅, accepted #NeurIPS2024 ! Joint w/Yu Gui Zhimei Ren

Next Monday (Oct 7th), Lei Shi from UC Berkeley will talk about "Forward selection and post-selection inference in factorial designs". The seminar time is 8:30am PT / 11:30am ET / 4:30pm London / 6:30pm Tel Aviv and the link to join can be found at our website (see reply).

Our next ISSI talk on Oct 14 features Will Bekerman (William Bekerman) from UPenn. He will talk about "Hypothesis selection via sample splitting for valid powerful testing in matched observational studies" arxiv.org/pdf/2406.00866. (1/n)

Time of the seminar: 8:30am PT / 11:30am ET / 4:30pm London / 6:30pm Tel Aviv. Details about the talk and future talks can be found on our website at sites.google.com/view/selective….

This week's ISSI features our own Nikos Ignatiadis Nikos Ignatiadis. He will talk about "Empirical partially Bayes multiple testing and compound χ2 decisions" (arxiv.org/abs/2303.02887). After the talk, Jelle Goeman will give a short discussion. Come and join us!

ISSI on Nov 4: Ziang Niu from UPenn. He will talk about "Computationally efficient and statistically accurate conditional independence testing with spaCRT" (arxiv.org/pdf/2407.08911), and Molei Liu from Columbia University will give a discussion. We look forward to seeing you!

The winners of the New Researcher Award2025 in Mathematical Statistics: Rianne de Heide (University of Twente) Lihua Lei (Stanford Graduate School of Business) Snigdha Panigrahi (University of Michigan) Honours: Ashwin Pananjady Martin (Georgia Institute of Technology) Congrats!

I had the privilege of being interviewed by the marvelous and unique Steve Strogatz on the podcast "The Joy of Why." We talked about how AI is changing the science of prediction. Links are below: open.spotify.com/episode/50Y4M6… quantamagazine.org/tag/the-joy-of… podcasts.apple.com/us/podcast/the…

At our seminar on Nov 11, Anru Zhang Anru Zhang will present "Functional post-clustering selective inference with applications to EHR"(arxiv.org/abs/2405.03042), followed by a discussion by Yiqun Chen Yiqun T. Chen. Please come and join us!

Curious about any-time value inference? Ian Waudby-Smith (Ian Waudby-Smith) will talk about "Distribution-uniform anytime-valid inference and sequential tests of conditional independence without Model-X" in our Nov 18 seminar. Peter Grünwald will be the discussant. Come and join us!

This new textbook by Anastasios Nikolas Angelopoulos Rina Barber and Stephen Bates looks really neat! arxiv.org/abs/2411.11824

Our new textbook Theoretical Foundations of Conformal Prediction is out! Conformal prediction is a a statistical technique that augments ML systems with uncertainty information for safe deployment. This book lays out the core theory. arxiv.org/abs/2411.11824

There is a departmental postdoc opening at Wharton Stats! Join us! statistics.wharton.upenn.edu/recruiting/dep…

🧪 Introducing POPPER: an AI agent that automates hypothesis validation by sequentially designing and executing falsification experiments with statistical rigor. 🔥POPPER matched PhD-level scientists on complex bio hypothesis validation - while reducing time by 10-fold! 🧵👇

🙌🎉Our 2025 recipient of the COPSS Presidents' Award, is Lester Mackey! This award is given annually to a young member of the statistical community in recognition of outstanding contributions to the profession of statistics.