Stats Up AI

A community for statistics and biostatistics.

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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
https://t.co/6abKaoyo1F

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Dr. Hui Wan will introduce SVC, a Vision Transformer-based framework for modeling RNA organization within cells.

📍 Online via Zoom

🔗 Register: https://t.co/n1zetR0Bza #SpatialTranscriptomics #ComputationalBiology #AI #Biostatistics #Omics

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🧬 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.

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7/ + LinkedIn: https://t.co/F8wtWjRza3
+ YouTube: https://t.co/RJWEVZhqfR
+ ASA Members may join our official ASA Interest Group (log-in required): https://t.co/kWXU05dv9F

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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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6/ Stay Connected with Stats Up AI:
+ Anyone is welcome to join this Google Group: https://t.co/n7YAwilMWp
+ Contact Google Group Managers: [email protected]
+ Website: https://t.co/jwL7CvVw6Q
+ https://t.co/bWwozzk6nQ: https://t.co/QAzY8K2I3D

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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)

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4/ For program details, speaker highlights, how to apply, and the application portal, please visit the AILA 2027 Website (https://t.co/6abKaoxQc7). You can also access the application via the online portal.

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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

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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.

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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: https://t.co/DK4Sk4UAaA
Apply: https://t.co/6abKaoxQc7

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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: https://t.co/DK4Sk4V808
Apply: https://t.co/6abKaoyo1F

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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: https://t.co/DK4Sk4UAaA
Apply: https://t.co/6abKaoxQc7

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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: https://t.co/DK4Sk4UAaA
Apply: https://t.co/6abKaoxQc7

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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: https://t.co/DK4Sk4UAaA
Apply: https://t.co/6abKaoxQc7

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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: https://t.co/DK4Sk4UAaA
Apply: https://t.co/6abKaoxQc7

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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: https://t.co/DK4Sk4UAaA
Apply: https://t.co/6abKaoxQc7

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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.
https://t.co/WQvFNec8tk

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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

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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

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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

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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