Natasa Tagasovska (Preferred)
Natasa Tagasovska
Prescient Design - Genentech, Roche
- Joined February 2021
Names
Emails
****@unil.ch (Confirmed)
, ****@epfl.ch (Confirmed)
, ****@gmail.com (Confirmed)
, ****@roche.com (Confirmed)
Personal Links
Education & Career History
Senior Machine Learning Scientis
Prescient Design - Genentech, Roche (roche.com)
2022 – Present
Senior Data Scientist
Swiss Federal Institute of Technology Lausanne (epfl.ch)
2020 – 2021
PhD student
University of Lausanne (unil.ch)
2015 – 2020
Advisors, Relations & Conflicts
PhD Advisor
Valerie Chavez-Demoulin
2017 – 2020
Expertise
Uncertainty in deep learning
Present
Causal inference
Present
uncertainty estimates for deep models
Present
causal inference and discovery
Present