Mats Julius Stensrud
EPFL SB MATH BIOSTAT
MA B1 473 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 66 03
Office:
MA B1 473
EPFL › SB › MATH › BIOSTAT
Website: https://www.epfl.ch/labs/biostat/
EPFL SB MATH BIOSTAT
MA B1 473 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 66 03
Office:
MA B1 473
EPFL › SB › SB-SMA › SMA-ENS
Website: https://sma.epfl.ch/
EPFL SB MATH BIOSTAT
MA B1 473 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 66 03
Office:
MA B1 473
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDMA-GE
Website: https://go.epfl.ch/phd-edma
EPFL SB MATH BIOSTAT
MA B1 473 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 66 03
Office:
MA B1 473
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › CDOCT
Awards
Arthur-Linder prize
Austria-Switzerland region of the International Biometric Society (IBS, ROeS)
2023
Lambert Prize
Swiss Statistical Society (SSS)
2023
Teaching & PhD
PhD Students
Lorenzo Gasparollo, Ignacio Gonzalez Perez, Julien David Laurendeau, Gellért Perényi
Past EPFL PhD Students
Matias Janvin (2023), Amit Sawant (2025)
Courses
Causal thinking
MATH-352
This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology.
Probability and statistics
MATH-233
The course is an introduction to probability and statistics for physicists.
Randomization and causation
MATH-336
This course covers formal frameworks for causal inference. We focus on experimental designs, definitions of causal models, interpretation of causal parameters and estimation of causal effects.