Stats Up AI

🧬 Our Stats Up AI Omics Webinar Series kicks off this month! Join us on Nov. 20, 2026, 10:00–11:00 AM ET as Dr. Hui Wan (Yale University) presents her work on AI-driven modeling of subcellular RNA organization in spatial transcriptomics.

Apply by Nov 5th! Start with an idea, develop a plan at the academy, and join a circle of collaborators. The Stats Up AI Winter 2027 AI Leadership Academy (AILA) will take place on January 7–8, 2027, at Rice University.

Leadership takes practice! Richard Zink of JMP Statistical Discovery will lead improv training on leadership at #AILA2027. Yes, improv. Jan 7-8 at Rice University. More on LinkedIn: linkedin.com/company/stats-u… Apply: statsupai.org/AILA2027/

Tian Zheng of Columbia will lead an interactive tutorial on Teaching with AI at #AILA2027. She brings expertise in statistical machine learning and data science education. Jan 7-8, Rice University. Learn more: linkedin.com/company/stats-u… Apply: statsupai.org/AILA2027/

Linjun Zhang of Rutgers studies the statistical foundations of modern machine learning and will lead an interactive tutorial on AI for Research at #AILA2027. Jan 7-8 at Rice University. More on LinkedIn: linkedin.com/company/stats-u… Apply: statsupai.org/AILA2027/

Shihao Yang of Georgia Tech will lead an interactive tutorial on AI for Research at #AILA2027. Expect hands-on learning from a statistical machine learning researcher. Jan 7-8, Rice University. Get to know him: linkedin.com/company/stats-u… Apply: statsupai.org/AILA2027/

Hadley Wickham of Posit, the mind behind the tidyverse and ggplot2, joins #AILA2027 as a featured speaker. His talk: AI for Research in Industry. Jan 7-8 at Rice University. Read more: linkedin.com/company/stats-u… Apply: statsupai.org/AILA2027/

Featured speaker alert! Rebecca Nugent of Carnegie Mellon is a leader in statistics and data science education, sharing insights on AI Education Leadership at #AILA2027. Jan 7-8, Rice University. Learn more: linkedin.com/company/stats-u… Apply: statsupai.org/AILA2027/

Meet Rafael Irizarry (DFCI, Harvard), a featured speaker at the AI Leadership Academy 2027! A leading biostatistics voice, he'll speak on AI for Research in Academia. Jan 7-8 at Rice University. Speakers: linkedin.com/company/stats-u… Apply: statsupai.org/AILA2027/

📢 AI Leadership Academy (AILA 2027) at Rice University, Jan 7-8, 2027 Limited to 30 leaders in statistics & data science. Speakers: Rafael Irizarry, Hadley Wickham, Rebecca Nugent, Tian Zheng Info session: Oct 15 Apply by: Nov 5 statsupai.org/AILA2027/

From STAI-X to JSM, what an incredible run of conferences! 🌟 It was amazing to connect with so many familiar faces and new members of the StatsUpAI group across both events. Let's keep these important, passionate discussions going! 🚀 #STAIX #JSM #StatsUpAI

7/ 5:30–5:35 PM — Closing Remarks 5:35–7:30 PM — Poster Session & Reception That's a wrap on STAI-X 2026! Thanks to our speakers, panelists, award winners & everyone who joined us this week 🎉 #STAIX2026 #Statistics #AI @WenyiWang4 @XihongLin @linjunz_stat @EdgarDobriban @tz33cu

6/ 5:00–5:30 PM — Stellar Abstract Lightning Talks 9 award winners presented on everything from protein generation to LLM genomics to RL for physical activity. Congrats to all our Stellar Abstract Award winners! 🌟 #STAIX2026 #AI #MachineLearning #Genomics

5/ 4:00–5:00 PM — Panel Discussion Co-moderators: Xihong Lin (Harvard) & Brittany Seguno (Nat'l Academy of Sciences) Panelists: Kathy Ensor (Rice), Theresa Kim (NIH), Stefan Wild (LBNL), Ellen Zegura (NSF/Georgia Tech) #STAIX2026 #AI #Statistics #SciencePolicy

4/ Session 3 (2:00–3:30 PM), Chair: Edgar Dobriban Misha Belkin (UCSD) — Feature Learning & the Linear Rep. Hypothesis Rajarshi Mukherjee (Harvard Chan) — Statlib Paper Awards: Yongkai Chen, Jungang Zou, Pietro Carlotti #STAIX2026 #Statistics #DeepLearning #AI

3/ 1:40–2:00 PM — Award Ceremony, Science Center Hall C Congrats to all our Paper Award and Stellar Abstract Award winners at STAI-X 2026! 🏆 #STAIX2026 #Statistics #AI

2/ Session 2 (11:00 AM–12:30 PM), Chair: Linjun Zhang Andrew Wilson (NYU) — From Entropy to Epiplexity Martin Wainwright (MIT) — Synthetic Data for Black-Box Validation Paper Award Talks: Patrick Vossler (UCSF), Shuxing Fang & Shengjie Niu (HK PolyU) #STAIX2026 #AI #LLMs