CTML - Center for Targeted Machine Learning

A UC Berkeley research center advancing the state of the art in causal inference, machine learning, and precision health methods.

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

Huge congrats to Wenxin Zhang & Yi Li on completing their Ph.D.s! 🎓🎉 Your dedication has been a tremendous asset. On behalf of everyone at CTML, we are incredibly proud and cannot wait to see what groundbreaking research you both share with the world next!

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

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 👉 https://t.co/g4ZZjj1bLT

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

For our last Spring CTML Seminar, we are excited to host Yun Hu, Rupali Roy, and Roanne Toretsky 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 - Center for Targeted Machine Learning @BerkeleyCTML]

For our last Spring CTML Seminar, we are excited to host Yun Hu, Rupali Roy, and Roanne Toretsky 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 - Center for Targeted Machine Learning @BerkeleyCTML]

CTML Graduate Student Researchers (GSRs) are heading to the 2026 European Causal Inference Meeting 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 GSRs! 📊✨🎉

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

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).

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

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 - Center for Targeted Machine Learning @BerkeleyCTML]

Get ready for incredible insights at our Biostats & Epi Career Panel on April 8th! 🗓️ Check out the CTML website to learn more about our chair Laura Balzer and fantastic panelists: Courtney Schiffman, Lauren Dang, Lina Montoya & Milena Gianfrancesco. 🌟

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

CTML t-shirts and long sleeves are available for purchase through our online store until Friday, March 27th! We can’t wait to see everyone in their CTML gear!

CTML Short sleeve: https://t.co/qAOjUtbqel
CTML Long Sleeve: https://t.co/jaVNWE8Hun

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

Community-based prevention in Kenya & Uganda reduced new HIV infections by 70%. Great work by Maya Petersen & Laura Balzer (@BerkeleyCTML) on the study design and analysis!

Read more in Science:
🔗 https://t.co/4bXW4gx0um

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

The next session of the CTML Seminar Series is on Wednesday, March 18th. CTML Postdoc Marie Charpignon will discuss "Emulation of the ACORN RCT Using Observational Data from a Large Integrated Health System in California."

12:00PM-1:00PM
Berkeley Way West, 5th Floor, Room 5401

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

Big Give is happening RIGHT NOW!💡 Support CTML's grad students as they use advanced machine learning to drive global health breakthroughs. Empower the future of healthcare and donate today! 🌍🎓

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

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 https://t.co/jFgS5TWIxg.

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

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 🔗

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

We’re excited to host two insightful talks from Tianyue Zhou and Toru Shirakawa next week as part of our CTML Seminar Series on Wed, March 11 from 12PM-1PM at BWW, 5th Floor, Room 5401. Join us for an engaging session–we look forward to seeing you there!

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

🌟 Big Give is almost here on 3.12.26! Today we’re spotlighting Alissa Gordon, a CTML Biostatistics Ph.D. student. 📊 Support our researchers this Big Give! 💙
#BigGive #CTML #UCBerkeley

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

Join us for a seminar with Johannes Blom from the Karolinska Institutet on "A Real World Approach to Preventing Colorectal Cancer" and the power of targeted screening strategies. 🔬

📅 March 5, 2026 | 1:00 PM – 2:00 PM
📍 Berkeley Way West, Room 5400

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

Don't miss the next session of the CTML Seminar Series on March 4th, 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.

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

Big Give is almost here! 🌟 Mark your calendars for March 12—UCB’s 24-hour fundraiser! Today we highlight Wenxin, a CTML Biostat PhD student! Support our GSRs by donating to the Student Travel Fund. Let’s help them lead the way! 🐻💙💛 #BigGive #CTML #UCBerkeley

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

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 👉 https://t.co/DtKqZJ2mbT