CTML - Center for Targeted Machine Learning
@BerkeleyCTML
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A UC Berkeley research center advancing the state of the art in causal inference, machine learning, and precision health methods.
Joined April 2023
Utilizing mediation analysis methods developed by #CTML, a recent study by the #UniversityofEdinburgh in #EMBOMolecularMedicine uncovered strong biological signatures linked to ME/CFS (Chronic Fatigue Syndrome). Click the link in our bio or scan the QR code below!
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CTML Faculty Laura Balzer presented her talk at the Statistical Issues in Clinical Trials. This conference addresses areas of biostat research including conversations on how to effectively & validly implement covariate adjustment to improve statistical power in randomized trials.
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Great synergy at Global Health Equity Initiative visit with @GileadSciences on May 13!. Co-moderated by Gilead's Anand Chokkalingam & UCB's Art Reingold, CTML's Dr. @DrMayaPetersen spoke during “Optimizing Industry-Academic Partnerships to Advance Global Public Health” panel.
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Thank you to all the incredible presenters who made the Biostatistics Research Showcase such a success! We were thrilled to feature 10 lightning talks and 9 poster presentations. A heartfelt thank you to all the students, faculty, and staff who attended and supported the event.
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CTML Graduate Student Researchers Kaiwen Hou, Wenxin Zhang, Kaitlyn Lee, and Sky Qiu will present their research at the 2025 American Causal Inference Conference (ACIC), taking place in Detroit, Michigan, from May 13 to 16. #BerkeleyCTML #ACIC2025
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Stay for the Biostatistics Poster Presentations on Friday, May 2, 2024, from 3:00–4:00 PM at Berkeley Way West (Room 1102)! Explore innovative research in statistical methodology and health applications from our biostatistics community. All are welcome. #UCBerkeley #CTML
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Join us for the Lightning Talks session at the Biostatistics Research Showcase this Friday, May 2nd from 2:00–3:00 PM at Berkeley Way West (Room 1104)! Open to the biostatistics community. For accessibility accommodations, contact cdasilva@berkeley.edu. #BerkeleyCTML
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In the #AI, #ML and #causalinference session, panelists discuss how to move beyond simple prediction in the #healthcare space with @Susan_Athey, @mark_vdlaan, @DrMayaPetersen and @drfanxia. @UCJointCPH @UCSF_BCHSI @BerkeleyCTML #conference #AIforall
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📣 CTML GSRs Featured at the April 29th Frontiers in Computational Health Conference! . Be sure to check out their exciting poster presentations! Their research spans causal inference, machine learning, and statistical methods—driving innovation in precision health.💡📈
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Come and be part of our next seminar discussion on April 30th! Carlos García Meixide, CTML's Visiting Student Researcher, will present his talk on "Causal Inference Via Proxy Interventions." The talk will take place at 12 PM at Berkeley Way West, 5th Floor, Room 5401.
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Come join us for our next talk in our seminar series on April 23rd. Joy Nakato, CTML GSR will present her talk at 12 PM at Berkeley Way West, 5th Floor, Room 5101 (Caravan Room). Please note the room change this week.
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On April 16 our CTML Seminar Series welcomes Ellie Matthay, Assistant Professor of Population Health at NYU Grossman School of Medicine. This exciting talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401. Speaker will be presenting remotely.*
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Calling Berkeley Biostat students, postdocs & staff! Join us for the Biostatistics Research Showcase!. Visit our website for details on presentation formats .👉 📣 Want to present? Email Jessica Angell (jessica.angell@berkeley.edu) by Friday, April 11th.
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CTML graduate researchers Kaitlyn Lee, Alissa Gordon, and Wenxin Zhang will present at the 2025 European Causal Inference Meeting (EuroCIM) in Ghent, Belgium, from April 8–11. Attendees are encouraged to engage with their work and connect with CTML. #EuroCIM2025 #berkeleyctml
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Join us next week for another exciting talk in our CTML Seminar Series! CTML GSR, Kirsten Landsiedel will be presenting her talk on "Improving the Efficiency of Estimators for Survival in Resampling Designs." This talk will take place on April 9 at 12PM at BWW, 5th Fl, Rm 5401.
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Our CTML Seminar Series continues on April 2nd with an exciting talk led by CTML GSR Nolan Gunter on "Improving Finite Sample Performance in Auto-Debiased Causal Neural Networks with RieszDragon." Don't miss this talk taking place at 12:00PM at Berkeley Way West, 5th Fl, Rm 5401.
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CTML's graduate researchers will be presenting at the 2025 ENAR Conference! Sky Qiu & Kirsten Landsiedel will deliver their presentations during the conference's contributed session, while Nolan Gunter will showcase his work in the conference's poster session. #BerkeleyCTML
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Happening This Week!🌟Join us for an engaging session with leading biostatistics experts. Get to know them before the event .🔗 . Date: Wednesday, March 19th .Time: 12:00pm-1:30pm (12pm sharp) .Location: Berkeley Way West, Rm 5401
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Big Give Is Almost Over! 🚨.There’s still time to support @BerkeleyCTML graduate students as they develop cutting-edge research in causal inference and machine learning to improve public health. Every gift makes an impact! 💙💛. #CalBigGive #BerkeleyCTML.
Big Give Starts Today at 9 PM! Support the Future of Public Health Innovation by donating to CTML! 💡Your gift today directly supports the students driving these innovations. Be part of the global impact and support our future public health leaders—donate today! 🎉 Link in Bio🔗
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Big Give Starts Today at 9 PM! Support the Future of Public Health Innovation by donating to CTML! 💡Your gift today directly supports the students driving these innovations. Be part of the global impact and support our future public health leaders—donate today! 🎉 Link in Bio🔗
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