Natasa Tagasovska (Preferred)
Natasa Tagasovska
Senior Machine Learning Scientis, Prescient Design - Genentech, Roche
Joined
February 2021
Names
Emails
****@unil.ch (Confirmed)
****@epfl.ch (Confirmed)
****@gmail.com (Confirmed)
****@roche.com (Confirmed)
Personal Links
Career & Education 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
Expertise
Uncertainty in deep learning
Present
Causal inference
Present
uncertainty estimates for deep models
Present
causal inference and discovery
Present
Publications
Co-Authors
- Ana Carolina Leote
- Andor Vári-Kakas
- Andreas Loukas
- Andrew Martin Watkins
- Anna Susmelj
- Arian Rokkum Jamasb
- Arvind Rajpal
- Aviv Regev
- Aya Abdelsalam Ismail
- Burkhard Hoeckendorf
- Damien Ackerer
- David Lopez-Paz
- David Richmond
- Edith Lee
- Ender Konukoglu
- Heming Yao
- Isidro Hotzel
- Jae Hyeon Lee
- Jan-Christian Huetter
- Jean-Philippe Thiran
- Ji Won Park
- Jonathan Pritchard
- Julien Lafrance-Vanasse
- Kevin Christian Wibisono
- Kyunghyun Cho