sitem Center for Translational Medicine and Biomedical Entrepreneurship

Standalone Modules

Module 2 - Statistics and Programming



Module 2 is providing preliminary knowledge on statistics and programming necessary to tackle the following modules. Participants will acquire basics in Python programming that are relevant for data analysis.

Learning objectives

Upon successful completion of this module, participants know the relevant concepts from applied linear algebra and from probability and statistics. They also have a basic understanding of Python programming for the purpose of data analysis.

Learning content

This module includes basics in applied linear algebra, introduction to probability and statistics, as well as Python programming I to III, and linear regression in Python. 

Start & Duration

2020: TBA
2021: TBC




The cost of this standalone module is 1'600.– SFr.




Module Leaders

Deputy Head and Program Coordinator of the Swiss School for Translation and Entrepreneurship in Medicine, sitem-insel AG, Bern

Dr. Pascale Anderle

Pascale Anderle is the Deputy Head of sitem-insel School and program coordinator for the MAS/DAS/CAS in Translation and Entrepreneurship in Medicine and the CAS in Artificial Intelligence and Medical Imaging. She graduated in pharmacy from the Swiss Federal Institute of Technology Zurich (ETHZ). In addition to her role as program coordinator at sitem-insel School she works as program coordinator at Health Sciences eTraining foundation, teaches at the University of Lausanne and ETHZ and does consulting in statistical and genomics data analysis at the University of Bern and University of Lausanne.

Senior Researcher, Support Center for Advanced Neuroimaging,University Hospital Inselspital, Bern

Dr. Richard McKinley

Richard McKinley is a Senior Researcher at the Support Centre for Advanced Neuroimaging, a research group in the University Clinic for Diagnostic and Interventional Neuroradiology in the Inselspital. Since 2014 he has been a researcher at the Inselspital, where he develops machine-learning techniques for interpreting, labeling and quantifying neuroimaging.

Postdoctoral Researcher, Support Center for Advanced Neuroimaging, University Hospital Inselspital Bern

Dr. Raphael Meier

Raphael Meier has a background in biomedical engineering and informatics. He is a postdoctoral researcher at the Support Center for Advanced Neuroimaging of the University Institute for Diagnostic & Interventional Neuroradiology at the Inselspital in Bern. Raphael’s research is focused on the application of machine learning to solve problems in brain image analysis. In particular, he is interested in techniques important for translation of machine learning methods into clinics such as model interpretability, uncertainty quantification and model validation. Furthermore, he is interested in imaging biomarker discovery for brain tumors and stroke.