Activities & Events

The PCI Lab hosts a causal learning group consisting of students and faculty from diverse disciplines including statistics, epidemiology, political science, sociology, computer science, and more. Meetings are typically held on Fridays from 11:00 am – 12:15 pm PST. If you are interested in joining us, click here to be added to our email distribution list.

Additionally, you can find a listing of past and upcoming events
below.

2025

June 6

Heterogeneous treatment effects (co-hosted with UCLA IDS Lab)

CAUSAL LEARNING GROUP

Duy Pham, Roch Nianogo, Jiahui Xu

May 30

Selection bias and missing data

CAUSAL LEARNING GROUP

Maya Mathur

May 23

Innovations in causal inference methods

CAUSAL LEARNING GROUP

Chad Hazlett, Borna Bateni

May 9

Mendelian Randomization & time-varying exposures

CAUSAL LEARNING GROUP

Joy Shi

April 25

Mendelian Randomization

CAUSAL LEARNING GROUP

Sonja Swanson

April 18

Causal estimands for survival analysis

CAUSAL LEARNING GROUP

L. Paloma Rojas-Saunero

April 11

Applications of Bayesian nonparametrics in causal inference

CAUSAL LEARNING GROUP

Falco J. Bargagli-Stoffi

March 7

What is Causal Reasoning

CAUSAL LEARNING GROUP

Judea Pearl

February 28

Post-treatment problems: What can we say about the effect of a treatment among sub-groups who (would) respond in some way?

CAUSAL LEARNING GROUP

Tanvi Shinkre, Matthew Coates, Chad Hazlett

February 14

Principal stratification

CAUSAL LEARNING GROUP

Kirk Vanacore