Title:
Learning treatment effects from observational and experimental data.
Speaker:
Prof. Sofia Triantafillou
Abstract:
Much of intelligent behavior involves predicting the causal effects of actions. Observational data are plentiful in many domains, such as electronic health record (EHR) data in the healthcare domain.
However, the use of observational data to estimate causal effects may produce highly biased estimates. Experimental data, such as randomized controlled trials (RCTs) in healthcare, provide relatively unbiased estimates of causal effects, but are much scarcer. This talk will describe a method that uses experimental data to determine whether and how to use observational data to estimate causal effects. One potential application of the method is personalized patient-outcome prediction from EHR and RCT data.
Short Bio:
Sofia Triantafillou is an Assistant Professor in the Department of Mathematics and Applied Mathematics in the University of Crete.
She has studied Applied Mathematics at NTUA and has a PhD in Computer Science from the University of Crete. Before joining the University of Crete, she was an Assistant Professor in the University of Pittsburgh.
Her research involves causal discovery and inference from multiple sources of data, and applications of causal inference. She is currently working on tuning causal discovery algorithms, and on integrating observational and experimental data to improve causal effect estimation.
Time, Date & Location:
15:00, Thursday 31st March 2022 @ Seminar Room 1 (max capacity: 34) (main building)
Zoom Info:
IACM FORTH is inviting you to a scheduled Zoom meeting.
Topic: IACM FORTH Seminar's Zoom Meeting
Time: Mar 31, 2022 03:00 PM Athens
Join Zoom Meeting
https://zoom.us/j/7761040361?pwd=dEs4TFZxck01Vk5PQWR1TUxKdndwUT09
Meeting ID: 776 104 0361
Passcode: 787479