Υπενθύμιση: IACM Colloquium (Hybrid mode) - Sofia Triantafillou , 15:00 March 31

["News University of Crete" <press@xxxxxxxxxxxx>]

ΘΕΜΑ: Υπενθύμιση: IACM Colloquium (Hybrid mode) - Sofia Triantafillou , 15:00 March 31
ΑΠΟΣΤΟΛΕΑΣ: Katerina Papadoulaki <kpapad@xxxxxx>


 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