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📢 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/
🧬 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.
Dr. Hui Wan will introduce SVC, a Vision Transformer-based framework for modeling RNA organization within cells.
📍 Online via Zoom
🔗 Register: lnkd.in/ejUgCa8u #SpatialTranscriptomics #ComputationalBiology #AI #Biostatistics #Omics
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.
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+ YouTube: youtube.com/@StatsUpAI
+ ASA Members may join our official ASA Interest Group (log-in required): community.amstat.org/communi…
6/ Stay Connected with Stats Up AI:
+ Anyone is welcome to join this Google Group: groups.google.com/g/stats-up…
+ Contact Google Group Managers: [email protected]
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5/ AILA Organizing Committee
Kiros Teghegne Berhane (ASA CAR representative)
David Matteson (NISS representative)
Judy Wang (Local Organization Chair) - Committee Chair
Wenyi Wang (Communication Chair)
Tian Zheng (Program Chair)
4/ For program details, speaker highlights, how to apply, and the application portal, please visit the AILA 2027 Website (statsupai.org/AILA2027/). You can also access the application via the online portal.
3/ Key Details:
Academy Dates: January 7–8, 2027
Location: Rice University, Houston, TX
Cohort Size: Limited to 30 participants
Virtual Information Session: October 15, 2026 (Registration required)
Application Deadline: November 5, 2026
2/ Designed for academic and industry leaders in statistics and data science, this intensive two-day academy provides a collaborative space to develop actionable, AI-aware initiatives in research, education, and team leadership.
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/
We're sharing a set of short clips pulled from a conversation between Dr. Wenyi Wang and Dr. Wing Hung Wong: "From Playing in Backyards to Growing a Tree" (Corner with Wenyi). The clips touch on interest, failure, and the long game in a research career.
youtube.com/playlist?list=PL…
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
1/
STAI-X 2026 — Day 2 Main Meeting
Session 1 (9:00–10:30 AM)
Eric Xing (MBZUAI/CMU) — Training in Imagination or Telling the Truth
Mengdi Wang (Princeton) — LabOS: AI-XR Co-Scientist
Paper Awards: Jeff Cai, Yanran Li & Zexi Cai, Ruohan Wang
#STAIX2026 #AI #Statistics
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
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























