CTML Faculty Mark van der Laan will be presenting alongside Susan Gruber and Hana Lee at the 2026 Annual Symposium on Risks and Opportunities of AI in Pharmaceutical Medicine (AIPM)! Don’t miss this exciting workshop bringing together experts from academia, industry, and government. Link in bio 🔗

Meet Tianyue Zhou, CTML GSR, presenting at AIPM 2026! 🎉 Tianyue, a PhD student of Mark van der Laan, will share his research at this year’s poster session at UCB. Students & early-career researchers working at the intersection of AI and pharmaceutical medicine are invited to submit! Link in bio 🔗

AIPM 2026 Comes to the West Coast! 🎉 Join Global Leaders in AI and Pharmaceutical Medicine at UC Berkeley 📅 October 13–14, 2026 📍 University of California, Berkeley Learn more: ww2.amstat.org/meetings/aip... We look forward to welcoming the AI and pharmaceutical medicine community to Berkeley!

From Adaptive Designs and TMLE in Precision Medicine to Real-World HIV prevention strategies, our researchers are presenting a packed lineup of talks and panel sessions at the Joint Statistical Meeting (JSM) 2026 in Boston, Massachusetts from August 1–6.

📢 The AIPM 2026 poster submission deadline has been extended to September 1, 2026! 🔗 Scan the QR code on the post or click the link below to submit your poster today: tinyurl.com/338nsmxt We look forward to seeing your submissions!

We are pleased to share that CTML GSR Nolan Gunter is presenting at the IAGG World Congress of Gerontology and Geriatrics in Amsterdam, Netherlands on Wednesday, July 6.

We are proud to announce that CTML’s GSR Toru Shirakawa, M.D., presented his groundbreaking research at the 7th Annual Conference on Health, Inference, and Learning (CHIL 2026) during the Doctoral Symposium in Seattle, WA.

Huge congrats to Dr. Laura Balzer for her talk at the 15th Annual CEND Symposium! She shared vital insights on "Adventures in Real-World Data & Targeted Machine Learning for TB Prevention." Thanks for representing CTML and driving impactful public health research!

📍 CTML at SER 2026 The Center for Targeted Machine Learning and Causal Inference is excited to have our members presenting at the 2026 Society for Epidemiologic Research (SER) Conference in Phoenix, Arizona! Join us as CTML researchers present their latest work!

Huge congrats to Wenxin Zhang and Yi Li on completing their Ph.D.s! 🎓🎉 Your hard work and contributions have been a tremendous asset. On behalf of everyone at the Center for Targeted Machine Learning and Causal Inference (CTML), we can't wait to see your next groundbreaking research!

📢 AIPM 2026 Registration & Poster Submission portals now open! Join us at UC Berkeley on October 13-14 as we dive into the intersection of machine learning, causal inference, and the next generation of drug development. Early Bird Registration: buff.ly/x6J3cbD Poster Submissions: buff.ly/vCRiDUE

Excited to announce that the Center for Targeted Machine Learning (CTML) will be well-represented at the American Causal Inference Conference 2026! 📍 Our Graduate Student Researchers will be in Salt Lake City from May 11–14.

Join us for the Biostatistics & Epidemiology Research Showcase ⚡️ Come hear our brilliant presenters share their cutting-edge research in fast-paced, engaging sessions this Friday, May 1. Check out their abstracts on our website 👉 ctml.berkeley.edu/5126-biostat...

Congratulations to #CTML Senior Project Data Analyst and #School of Public Health's (SPH) Lecturer Andrew Mertens on being awarded the SPH's extremely competitive 2026 Zak Sabry Mentorship Award. The award was established "to recognize faculty with distinguished records of mentorship."

Happening this Wednesday! 🌟 Don't miss the Stellarus research talks at our CTML Seminar. Hear Yun Hu, Rupali Roy, and Roanne Toretsky share their work on risk stratification, LLM pipelines, and TMLE. 📅 Wednesday, April 22 | 12:00–1:30 PM 📍 Berkeley Way West, Room 5101 Link in bio! 👉

CTML - Center for Targeted Machine Learning and Causal Inference@berkeleyctml.bsky.social · 4mo ago

For our last Spring CTML Seminar, we are excited to host Yun Hu (Data Scientist Consultant), Rupali Roy (Data Scientist), and Roanne Toretsky (Data Scientist) from Stellarus to each present their respective talks! This seminar will take place on Wed. April 22, from 12–1:30 PM in BWW, Room 5101.

For our last Spring CTML Seminar, we are excited to host Yun Hu (Data Scientist Consultant), Rupali Roy (Data Scientist), and Roanne Toretsky (Data Scientist) from Stellarus to each present their respective talks! This seminar will take place on Wed. April 22, from 12–1:30 PM in BWW, Room 5101.

For our last Spring CTML Seminar, we are excited to host Yun Hu (Data Scientist Consultant), Rupali Roy (Data Scientist), and Roanne Toretsky (Data Scientist) from Stellarus to each present their respective talks! This seminar will take place on Wed. April 22, from 12–1:30 PM in BWW, Room 5101.

CTML GSR's Sylvia Cheng and Wenxin Zhang are featured today at the Frontiers in Computational Health Conference (FiCPH)! Don’t miss them at the FiCPH Poster Session, where they’ll showcase research on innovative statistical and machine learning approaches! 💡📊

Continuing our CTML Seminar Series is CTML GSR Nolan Gunter! He will be discussing "Aging Out of the Blue: Region-Specific Epigenetic Clock Calibration for a Blue Zone with the DNAm SuperLearner." This seminar will take place on Wednesday, April 15 at 12:00 PM in BWW, 5th Fl, Rm 5401.

CTML Graduate Student Researchers (GSRs) are heading to the 2026 European Causal Inference Meeting (EUROCIM) in Oxford, UK! Catch Alissa Gordon, Kaitlyn Lee, Kirsten Landsiedel, and Nick Williams at the poster and presentation sessions on April 15-16. Stop by and support our incredible GSRs! 📊✨🎉

We’re proud to recognize Prof. Laura Balzer, PhD, for serving as a keynote speaker at the International Workshop on HIV and Hepatitis Observational Databases (IWHOD).

Don't miss out on our Biostatistics and Epidemiology Career Panel! 🌟 Join us for an engaging session with leading experts in biostatistics and epidemiology on Wednesday, April 8th between 12-1:30 pm @ Berkeley Way West, Room 5101. 👉 ctml.berkeley.edu/4826-biostat...

Thank you to all the speakers, panelists, and attendees who joined us for the 4th Annual FIORD Workshop (2026). We look forward to continuing the conversation at FIORD 2027!

CTML t-shirts and long sleeves are available for purchase through our online store until Friday, March 27th! CTML Short sleeve: www.customink.com/g/rgc0-00d1-... CTML Long Sleeve: www.customink.com/g/rgc0-00d1-...

A community-based project in Kenya & Uganda reduced new HIV infections about 70% by bringing testing & prevention directly to communities. 🔗 www.science.org/content/arti...

CTML appreciates Vanessa Rodriguez of University College London for joining the JICI Lab Seminar Series to present her talk, "Efficient Estimation and Inference for Generalizing CATEs". If you would like further details, please scan the QR code or visit ctml.berkeley.edu/jici-current....

Calling all UC Berkeley Biostat and Epi graduate students! Got exciting research to share? Join us for the Biostat and Epi Research Showcase—your chance to present to faculty, peers, and special guests! Visit the link in our bio for full details on presentation formats 🔗

Don't miss the next session of the CTML Seminar Series on March 4, where CTML GSR Alissa Gordon will discuss "Average Mixed Derivative: A Nonparametric Framework of Interactivity." This talk will take place from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.

Support the Future of Public Health Innovation—Donate to CTML for UC Berkeley’s Big Give on March 12th! With over 15 Graduate Student Researchers, CTML is leading discoveries that improve health outcomes locally and globally. Learn more 👉 ctml.berkeley.edu/join-us-big-...

Hear from a leading expert in the field! Join us next Wednesday, February 25th for our CTML Seminar with Andrew Mertens, Ph.D. *Speaker will present remotely.* Check out the abstract on our website linked here👉 tinyurl.com/39sjym53