Stats Up AI

A community for statistics and biostatistics.

[Stats Up AI @StatsUpAI]

🚀 The STAI-X 2026 speaker lineup is live! Hear from top AI minds from 07/31–08/01.
⏳ Deadline: Challenge team & early-bird registration ends June 1.
👉 View the program & secure your spot: https://t.co/llOsdjP4OC
#STAIX2026 #AI #MachineLearning

[Stats Up AI @StatsUpAI]

StatsUpAI is hosting the next webinar from Dr. Naim Rashid (UNC) on “Staying in the Driver's Seat: Calibrating AI Use in Statistical Research, Training, and Practice.” Join us on Tue, May 26th at 2pm ET. Scan the QR code to register! #STAIX2026 #DataScience #Statistics #GenAI

[Stats Up AI @StatsUpAI]

StatsUpAI is hosting the next "Statistical and AI Methods for Health Data Science" seminar from Dr. Curtis Huttenhower (Harvard) on “Quantitative methods for microbial communities and the human microbiome” Join us on Fri, May 8th at 2pm ET. Scan the QR code to register!

[Stats Up AI @StatsUpAI]

Excited to share a new panel interview in the Journal of Statistics and Data Science Education featuring @BinYu_UCB! 📊

Read the full interview here: https://t.co/DUM8TGtfjJ
#DataScience #Statistics #STEMEducation #VeridicalDataScience

[Stats Up AI @StatsUpAI]

Great work from @WenyiWang4 lab at MD Anderson!

LFSPRO, a Bayesian semiparametric model, prospectively validated in real-world genetic counseling for Li-Fraumeni syndrome. A good example of statistics in clinical practice. Published in AJHG

https://t.co/YMcyGZoDJZ

[Stats Up AI @StatsUpAI]

Missed our info session for STAI-X 2026? The recording is now live! 🎥

Learn about our integrated conference-journal review model, fast-track opportunities with partner journals, and submission guidelines for #AI and #Statistics.

Watch here: https://t.co/lYGVXbXviT

#STAIX2026

[Stats Up AI @StatsUpAI]

We are excited to host an Info Session for STAI-X! Meet the conference organizers and learn all about our mission to accelerate trustworthy AI through multi-disciplinary statistics!

🗓️ Friday, April 10
🕓 4:00 PM – 4:45 PM
📍 Zoom (QR Code in Flyer)

#STAIX2026 #Statistics #AI

[Stats Up AI @StatsUpAI]

🔁 Continuing members:
Past Chair: Tian Zheng (@Columbia)
Past Program Chair: Edgar Dobriban (@Penn)
Secretary: Jian Kang (@UMich)
🔗 Full announcement: https://t.co/jqUp7CWRxd
#ResponsibleAI #AIinScience #ResearchCommunity #AcademicCommunity

[Stats Up AI @StatsUpAI]

🎉 StatsUpAI announces the 2026 Executive Committee!

Thank you to everyone in our community who participated in the election and contributed feedback—your engagement continues to drive our momentum. 🧵👇
#StatsUpAI #Statistics #AI #DataScience

[Stats Up AI @StatsUpAI]

👥 Newly elected & appointed (2026):
Chair: Peter X. Song (@UMich)
Chair-Elect: Hongtu Zhu (@UNCCH)
Program Chair: Wenyi Wang (@MDAndersonNews)
Program Chair-Elect: Linjun Zhang (@RutgersU)
Outreach Chair: Jackson Lautier (@bentleyu)
#MachineLearning #Biostatistics

[Stats Up AI @StatsUpAI]

Excited to share a webinar with Dr. James Zou, Associate Professor of Biomedical Data Science (CS, EE) and leader of the Stanford AI for Science Lab as he talks about the usage of AI agents to accelerate scientific discoveries!

You can find the link here:
https://t.co/IM6NGgon3e

[Stats Up AI @StatsUpAI]

🎉 Congratulations to Professor Weijie Su, recipient of the 2026 COPSS Presidents’ Award!

His work exemplifies the deep synergy between statistics and modern AI.

In an earlier interview, he shared how “statistics has a tremendous role in advancing AI.” https://t.co/2FeWuqVxKh

[Stats Up AI @StatsUpAI]

Transcriptomic Deconvolution Explained https://t.co/JxOSc3zFP6 via
@YouTube

Nature Reviews Cancer: Guide to tumor deconvolution: cell-type proportions + cell-type-specific signals; surveys 43 methods + pitfalls + best-use cases. https://t.co/XiKZfPpybA by @WenyiWang4 's team

[Stats Up AI @StatsUpAI]

🚀 In Conversation: Cancer Transcriptomic Deconvolution — A deep interview unpacking a Nature Reviews Cancer guide on choosing and applying transcriptomic deconvolution methods in cancer research.
https://t.co/aOUzr6ykGD

[Stats Up AI @StatsUpAI]

🚀 Rebuilding Statistics in the Age of AI — A candid town‑hall from JSM 2024 where leaders like Donoho, Lin, Mukherjee, Xing & more grapple with the role of statistics as AI scales—debating rigor vs utility, theory vs systems, and adaptation
https://t.co/nNt2n5e6Hp

[Stats Up AI @StatsUpAI]

🚀 LAMBDA: A game-changer in data analysis! Developed by The Hong Kong Polytechnic University, this AI-driven system enables natural language-based data analysis with dual-agent architecture. Explore how it's transforming research & data science education.
https://t.co/aHGwNfjGYu

[Stats Up AI @StatsUpAI]

Check out Dr. Wenyi Wang's interview on transcriptomic deconvolution in cancer, where they discuss dynamic tumor states, the "missing reference" issue, and so much more in “A guide to transcriptomic deconvolution in cancer”🌟
https://t.co/aOUzr6ykGD

[Stats Up AI @StatsUpAI]

Join us in two weeks for an exciting webinar with James Zou from Stanford University, exploring how AI agents are accelerating scientific discoveries – sign up now!

[Stats Up AI @StatsUpAI]

StatsUpAI is hosting the next webinar from Dr. James Zou (Stanford) on “AI agents to accelerate scientific discoveries.” Join us on Wed, Feb 11 at 1pm ET. Scan the QR code to register!

[Stats Up AI @StatsUpAI]

StatsUpAI is hosting the next webinar from Dr. Mine Çetinkaya-Rundel (Duke) on “Leveraging LLMs for student feedback in introductory data science courses.”
Join us on Fri, Jan 16th at 12pm ET. Scan the QR code to register!