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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · 7d

T-shirt only: We’re reopening Professor Art Reingold’s commemorative t-shirt store for a limited time! 🎉

Celebrate his remarkable career and legacy with an exclusive t-shirt designed just for this occasion.

📦 Link in bio to order!
📅 The store will close by October 25th.

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · 9d

Don't miss the next session of the CTML Seminar Series on October 1st, where Wenxin Zhang will discuss "Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs." This talk will take place from 12-1 PM at Berkeley Way West, 5th Floor, Room 5401.

Adaptive designs are increasingly used in clinical trials and online experiments to improve participant outcomes by dynamically updating treatment allocation based on accumulating data. At the end of adaptive experiments, it is often desirable to answer various causal questions based on the observed data. However, the adaptive nature of such experiments and the resulting dependence among observations pose significant challenges for providing statistical inference of causal estimands. Building upon the Targeted Maximum Likelihood Estimation (TMLE) literature that has provided valid statistical inference tailored to adaptive experimental settings, I will discuss our recent advance in efficient statistical inference under relaxed assumptions of adaptive experiments, with their implications for improving adaptive designs.

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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · 13d

📢 Don’t miss this session today at the ASA Biopharmaceutical Section RISW 2025!

CTML Faculty Mark van der Laan, will be presenting:
“The Causal Roadmap and Adaptive TMLE for ECT-Hybrid Designs”

📅 Sept 25
🕐 1:15PM – 2:30PM(EDT)

Be sure to add this to your agenda if you’re attending the conference!

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · 14d

Thank you to our outstanding speakers & panelists for sharing their expertise at this year’s Fall Visit for the Joint Initiative for Causal Inference (JICI)!

A special note of appreciation goes to CTML Leads, Maya Petersen and Mark van der Laan, for their leadership in making this event a success.

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · 16d

There’s still time to contribute to Professor Art Reingold’s legacy book!

📝 Please keep testimonials to 100 words or less.
📸 You may share a photo in your commemorative t-shirt, holding his graphic, or with Art.
📬 Submissions due by Sept 30: forms.gle/LY4T126cPjdq...

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Sep 8

📖 The Legacy of Art
Help honor Professor Art Reingold with a legacy book of memories.
📸 Share a photo with Art, in your t-shirt, or with his graphic + 📝 a testimonial by Sept 30 to this link: forms.gle/LY4T126cPjdq...

Every submission adds to the story of Art’s impactful career!

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · 20d

We are excited to announce CTML faculty, students and staff will lead roundtable discussions at the upcoming RISW (Regulatory Industry Statistic Workshop) at the ASA (American Statistical Association) conference in Rockville, Maryland!

📌 Date: September 25, 2025
📌 Time: 11:45 AM – 1:00 PM (EDT)

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · 23d

Mark your calendars for September 17th! The CTML Seminar Series explores “Causal Inference via Electronic Health Record Data.” This exciting talk will be led by CTML's Postdoc Zachary Butzin-Dozier from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Sep 8

📖 The Legacy of Art
Help honor Professor Art Reingold with a legacy book of memories.
📸 Share a photo with Art, in your t-shirt, or with his graphic + 📝 a testimonial by Sept 30 to this link: forms.gle/LY4T126cPjdq...

Every submission adds to the story of Art’s impactful career!

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

The CTML Seminar Series continues on Sept 10! Join us for an exciting talk on "Machine Learning, Causal Queueing, and SiMLQ for Data Driven Simulation." Opher Baron will be presenting joint work with Zhenghang Xu. This talk will take place from 12PM-1PM at BWW, 5th Fl, Rm 5401.

The Center for Targeted Machine Learning and Causal Inference (CTML) Seminar Series continues on September 10th! Join us for an exciting talk on "Machine Learning, Causal Queueing, and SiMLQ for Data Driven Simulation." Opher Baron, Professor of Operations Management at the Rotman School of Management, University of Toronto, will be presenting joint work with Zhenghang Xu, a fifth-year PhD candidate in Operations Management and Statistics. This talk will take place from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.

The objective of this talk is to expose researchers to the vast possibilities of using modern machinery and data for implementing effective management analytics for queueing processes. Such process are ubiquitous in modern economies, e.g., customers waiting to service, inventory waiting for processing/transportation, payments and invoices waiting to be generated/cleared, computing tasks waiting for resources. I will thus discuss recent developments in queueing analysis based on several papers. We will also see a demo of www.SiMLQ.com that demonstrates how to take this theory to practice.

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Aug 26

Join us on Sept 3rd to kick off our Fall 2025 CTML Seminar Series! Adam Yala, Assistant Prof. in Computational Precision Health, Statistics, and Computer Science (EECS), will start our series with his talk "AI for Personalized Cancer Care." This talk will take place at 12PM at BWW, 5th Fl, Rm 5401.

Join us on September 3rd to kick off our Fall 2025 CTML Seminar Series! Adam Yala, Assistant Professor in Computational Precision Health, Statistics, and Computer Science (EECS), will start our series with his talk "AI for Personalized Cancer Care." This talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401.

Early detection significantly improves outcomes across many cancers, motivating major investments in population-wide screening programs, such as low-dose CT for lung cancer. To make screening more effective, we must simultaneously improve early detection for patients who will develop cancer while minimizing the harms of over screening. Advancing this Pareto frontier requires progress across three fronts: (1) accurately predicting patient outcomes from all available data, (2) designing intervention strategies tailored to risk, and (3) evaluating and translating these strategies into clinical practice. In this talk, I will present ongoing work across all three areas, driven by the goal of using every available bit of patient data to personalize care.

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Aug 25

CTML Postdoc Marie-Laure Charpignon will be presenting during the poster session at the upcoming ISCB Conference on Wednesday, August 27. If you are attending ISCB, be sure to stop by the session and show your support! 🎉

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Aug 22

Final Day to Order 🎉 Join us in celebrating Professor Art Reingold’s remarkable career and legacy—our commemorative t-shirt store closes today. Secure your shirt now and take part in this special tribute!

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Aug 5

Honoring a Global Public Health Leader: Professor Art Reingold. Join the Tribute! 🎉

1. Buy a T-shirt 👕
Online store open until August 22! Links in Bio 🔗

2. Share a Photo 📸

3. Be Part of the Legacy Book 📖

📍Submit photos & testimonies to the google form in our bio by Sept 30!

Honoring a Global Public Health Leader: Professor Art Reingold.
Join us in honoring the remarkable career of Professor Art Reingold. Art Reingold has shaped generations of public health leaders, with a transformative impact on global health. We're putting together a special memory book to thank him and honor his legacy.

Join the Tribute: Commemorative T-Shirt for Art!
1. Buy a T-shirt
Online store open until August 22nd!
Option 1: "I, Too, Was Art's Student"
Link to online store : https://www.customink.com/g/rgc0-00cz-cs3n
Link to graphic: https://tinyurl.com/mrna8rf9

Option 2: "I, Too, Was Trained by Art's Student"
Link to online store : https://www.customink.com/g/rgc0-00cz-cs7j
Link to graphic: https://tinyurl.com/2hbrc7ac

2. Share a Photo
Take a photo wearing your t-shirt—or holding his graphic—and snap a picture!

3. Be Part of the Legacy Book
Submit your photo and testimony by Sept 30th to be included in a legacy book we're creating for Art!

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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Aug 19

Final Week to Order! 🎉 Don’t miss your chance to be part of the tribute to Prof. Art Reingold! Our t-shirt store closes this Friday, Aug 22—order yours today & join in celebrating his incredible career and impact! Links to online store, graphics and google form for testimony submissions in our bio 🔗

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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Aug 14

Stay Connected with CTML! From cutting-edge publications and upcoming events to exciting achievements in our community, our newsletter keeps you in the loop.

📬 Subscribe today! Scan QR code or click the link in our bio to join.

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Aug 12

There’s still time to be part of the tribute to Prof. Art Reingold! 💙💛 Link to the online store and graphics are in our bio.

Help us spread the word 📣 If a friend or colleague isn’t on social media, just send us their email via direct message and we’ll send them all the details!

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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Aug 5

Honoring a Global Public Health Leader: Professor Art Reingold. Join the Tribute! 🎉

1. Buy a T-shirt 👕
Online store open until August 22! Links in Bio 🔗

2. Share a Photo 📸

3. Be Part of the Legacy Book 📖

📍Submit photos & testimonies to the google form in our bio by Sept 30!

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Jul 28

CTML GSRs Wenxin Zhang, Kaiwen Hou, and Alissa Gordon will be presenting their work next week at the 2025 Joint Statistical Meetings (JSM). Innovations in causal inference, adaptive study design, and statistical methodology will be highlighted.
If you’re attending JSM—come show your support!

Mark your calendars: CTML graduate student researchers Wenxin Zhang, Kaiwen Hou, and Alissa Gordon will be presenting their work next week at the 2025 Joint Statistical Meetings (JSM), held August 2–7 in Nashville, Tennessee. Innovations in causal inference, adaptive study design, and statistical methodology will be highlighted.
If you’re attending JSM, don’t miss their sessions—come show your support!

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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Jul 14

CTML VSR alum Carlos Meixide and CTML co-director Mark van der Laan present a new approach to causal inference. The new paper challenges the traditional assumption-based identification to what can be learned directly from observed data using implied interventions. Link in bio! 🔗

CTML Visiting Student Researcher alum Carlos Garcia Meixide and CTML co-director Mark van der Laan present a new approach to causal inference. The new paper challenges the traditional assumption-based identification to what can be learned directly from observed data using implied interventions. By leveraging instrumental variable structure and Highly Adaptive Lasso (Hal), the authors propose a transparent G-computation formula that identifies causal effects without needing to specify everything up front.

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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Jul 1

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 here or scan the QR code below! 👉 www.embopress.org/doi/full/10....

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · May 22

CTML Faculty Laura Balzer presented her talk at the Statistical Issues in Clinical Trials conference. This conference addresses areas of biostatistical research, including conversations on how to effectively & validly implement covariate adjustment to improve statistical power in randomized trials.

CTML Faculty Laura Balzer was honored to present her talk, “Machine Learning in Randomized Trials? We Can & We Should!” at the Statistical Issues in Clinical Trials conference, hosted by the University of Pennsylvania on April 7th.
This annual conference addresses active areas of biostatistical research, including important conversations on how to effectively and validly implement covariate adjustment to improve statistical power in randomized trials. Speakers covered topics of broad relevance—such as covariate adjustment in group-sequential and re-randomization designs, complexities of adjustment in the face of missing covariate data, machine learning for covariate selection, and the role of covariate adjustment in the drug and device approval process.

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · May 15

Great synergy at Global Health Equity Initiative visit with Gilead Sciences on May 13!

Co-moderated by Gilead's Anand Chokkalingam & UCB's Art Reingold, CTML's Dr. Maya Petersen spoke during “Optimizing Industry-Academic Partnerships to Advance Global Public Health” panel.

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · May 13

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.
#CTML #ucberkeley

CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · May 7

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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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · May 1

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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CTML - Center for Targeted Machine Learning and Causal Inference @berkeleyctml.bsky.social · Apr 30

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 [email protected].
#BerkeleyCTML

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