A UC Berkeley research center advancing the state of the art in causal inference, machine learning, and precision health methods.
Joined April 2023
- Tweets199
- Following29
- Followers150
- Likes5
The CTML Seminar Series continues on Oct 21! Join us for an exciting talk on "A Nonrecursive Characterization of Universal Least Favorable Models for One-Step TMLE" led by CTML GSR Kaiwen Hou.
Click the link in our bio for the abstract! 🔗
CTML GSR Nick Williams presents at the Berkeley Causal Lab Seminar!
Talk: “Two Attempts at Improving Finite Sample Performance of Doubly-Robust Estimators with Resampling”
📅 Wed, Oct 14 | 2–3:30 PM
📍 Gateway 3355
Hear from a leading expert in the field! Join us on Wednesday, October 7th for a seminar with Zachary B. Dozier: "Targeted Learning: Causal Inference in Long COVID and Pediatrics." The seminar will take place at 12:00 PM in Berkeley Way West, 5th Floor, Room 5401.
AIPM registration may close this week! 📣
🗓️ Registration may closes this Thursday, October 1 due to demand.
🔗 Scan the QR code or click the link here to register: ww2.amstat.org/meetings/aipm…
#AIPM2026 #AI #PharmaceuticalMedicine #ArtificialIntelligence #UCBerkeley
Join us on September 30th to welcome Jonathan Levy, Director of Biostatistics at Pharvaris, for his talk: "Small Pharma Stats". It will take place at 12:00PM at BWW, 5th Floor, Room 5401. It will be a survey of topics driven by statistics problems in the pharmaceutical industry.
This week’s CTML Seminar Series features another exciting session! Join us on Wednesday, September 23rd, as Alejandro Schuler presents his workshop on Agentic AI for Biostatistics Research. The event takes place from 12:00 PM to 1:00 PM at Berkeley Way West, 5th Floor, Room 5401.
We are proud to highlight five researchers from the Center for Targeted Machine Learning (CTML) who will be presenting their work at the upcoming AI in Pharmaceutical Medicine symposium at UC Berkeley.
This week’s CTML Seminar brings another thought-provoking discussion! Join us on Sept 16 to hear from Jonas Knecht, co-founder and co-CTO of Knit Health and CTML Visiting Researcher, presenting his talk on "Deep Causal Behavioral Policy Learning."
Continuing our CTML Seminar Series is CTML GSR Yilong Hou! He will be discussing "Highly Adaptive Lasso Log-Splines for Univariate Density Estimation." This seminar will take place on Thursday, September 10 at 11:00 AM in Berkeley Way West, 5th Floor, Room 5401.
CTML Faculty Laura Balzer will be kicking off the Fall semester of the Berkeley Causal Lab Seminar this week! 🎉 Join the seminar on Wed, Sept 2 for her talk, “Far From MCAR & Its Consequences in Global Health.”
Join us on September 2nd to kick off our Fall 2026 CTML Seminar Series! Anna Menacher, Lead Scientist at Novo Nordisk, will start our series with her talk "Causal Inference in Pharma: Open Problems and Opportunities" This talk will take place at 12:00PM at BWW, 5th Fl, Rm 5401.
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! Link in bio 🔗
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!
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-biost…
ALT Join us for the Biostatistics & Epidemiology Research Showcase. Come hear our brilliant presenters share their cutting-edge research in fast-paced, engaging sessions. Check out the incredible lineup of speakers and their titles below! Date: Friday, May 1, 2026 Time: 2:30 PM - 4:30 PM Location: Berkeley Way West, 1st Floor | Room 1102 Presenters: Kaitlyn Lee - Improving Precision through Covariate Adjustment in RCTs with Binary Outcomes Nick Williams - Improving Reproducibility by Controlling Random Seed Stability in Machine Learning Based Estimation via Bagging John Halifax - Estimating Causal Effects of Community Drivers of Individual Health in the Presence of Community-Specific Confounding in Large Data Settings Alissa Gordon - The Average Mixed Derivative: A Nonparametric Framework of Interactivity Joy Nakato - Choices and Consequences of Alternative Estimands in Time-to-event Safety Analyses Noel Pimentel - MASH Placebo-Arm Database Project
CTML - Center for Targeted Machine Learning retweeted
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.
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 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! 📊✨🎉
🤖 Made with AI
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).
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!
