Archived Events

5/2/25: Biostatistics Research Showcase

Join us for the Biostatistics Research Showcase! The showcase opens with rapid-fire Lightning Talks featuring biostatistics researchers presenting cutting-edge work in causal inference, machine learning, and public health applications. Then, dive deeper into innovative research in statistical methodology and health science during our Poster Session, showcasing projects from across the biostatistics community.

Date: Friday, May 2, 2025
Time: 2:00 PM – 3:00 PM (Lightning Talks) | 3:00 PM – 4:00 PM (Poster Session)

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OTMLE Reading Group - Fridays @ 2pm

Starting January 24th, the OTMLE (Optimal Transport and Targeted Maximum Likelihood Estimation) reading group will further investigate the geometry of probability spaces and the implications for TMLE’s structure and behavior. Topics include deeper explorations of how optimal transport’s spatial and dynamic properties provide insights into likelihood-based optimization and its role in semiparametric models. Rather than diving into specific optimization techniques like natural gradient descent or Newton’s method, this semester focuses on laying the theoretical groundwork for...

4/30/25 Seminar: "Causal Inference Via Proxy Interventions"

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.

Identifying causal effects by deterministically fixing an exposure leans on assumptions rarely satisfied in real-world settings. The simple case of writing a counterfactual mean in terms of the observable probability law demands that every unit—no matter its...

4/23/25 Seminar: "Efficient estimation of causal effects of HIV prevention and care strategies in clustered data settings"

Come join us for our next talk in our seminar series on April 23rd. Joy Nakato, CTML GSR will present her talk on "Efficient estimation of causal effects of HIV prevention and care strategies in clustered data settings." The talk will take place at 12 PM at Berkeley Way West, 5th Floor, Room 5101 (Caravan Room). Please note the room change this week.

In this mock QE talk, I will present ongoing work focused on developing, evaluating, and applying efficient and robust estimators...

4/16/25 Seminar: "Causal Inference Challenges in Research on the Health Effects of Social Policies: Heterogeneous Effects and Treatment-Confounder Feedback"

Be part of the conversation! On Wednesday, April 16th our CTML Seminar Series welcomes Ellie Matthay, Assistant Professor of Population Health at NYU Grossman School of Medicine. Ellie will present her talk on “Causal Inference Challenges in Research on the Health Effects of Social Policies: Heterogeneous Effects and Treatment-Confounder Feedback.” The talk will take place at 12:00PM at Berkeley Way West, 5th Floor, Room 5401. Speaker will be presenting remotely.

A growing body of epidemiologic...

4/9/25 Seminar: "Improving the Efficiency of Estimators for Survival in Resampling Designs"

Continuing our CTML Seminar Series is CTML GSR, Kirsten Landsiedel. Her talk, "Improving the Efficiency of Estimators for Survival in Resampling Designs" will take place on April 9th at 12:00PM at Berkeley Way West, 5th Floor, Room 5401. You won't want to miss it!

Survival is a key metric for evaluating current standards of care for individuals living with HIV. In resource-limited settings, high rates of loss to follow-up (LTFU) often result in underestimation of mortality when only observed deaths...

4/2/25 Seminar: "Improving Finite Sample Performance in Auto-Debiased Causal Neural Networks with RieszDragon"

Our CTML Seminar Series continues on April 2nd with an exciting talk led by 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 Floor, Room 5401.

The Riesz representation theorem allows us to express any target parameter as an inner product of a conditional mean and the Riesz representer, sparking new causal inference work to directly estimate the Riesz...

3/19/25: Biostatistics Career Panel Spring 2025

Join us for our Spring Biostatistics Career Panel! We’re thrilled to bring you a career panel featuring leading figures in biostatistics. Dive into their career stories, explore their research, and their unique perspectives on the field. This is your chance to engage in lively discussions and discover the many exciting paths within biostatistics!

Date: Wednesday, March 19th

Time: 12:00pm - 1:30pm (This event will begin at 12pm sharp)

Location: Berkeley Way West, 5th Fl, Rm 5401

3/12/25 Seminar: "Surrogate Modeling for Infectious Disease Dynamics Using Machine Learning"

Don't miss the next session of the CTML Seminar Series on March 12th, where Karissa Huang and Philip Lee will discuss "Surrogate Modeling for Infectious Disease Dynamics Using Machine Learning." This talk will take place from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.

Model complexity can often make parameter estimation challenging and inefficient in epidemiological models. In this work we propose a framework for using surrogate models to estimate the likelihood for compartmental models. The surrogate modeling approach reduces the computational costs of analyzing...

3/5/25 Seminar: "The Object Bagplot for Non-Euclidean Spaces: A Visualization and Outlier Detection Tool for Hyperbolic Data"

The CTML Seminar Series continues on March 5th! Join us for an exciting talk on "The Object Bagplot for Non-Euclidean Spaces: A Visualization and Outlier Detection Tool for Hyperbolic Data" led by CTML GSR Andy Kim. This talk will take place from 12:00PM-1:00PM at Berkeley Way West, 5th Floor, Room 5401.

Exploratory data analysis in non-Euclidean spaces is an underdeveloped field, despite their growing importance in modern machine learning applications. In particular, hyperbolic space is a useful...