Linda Marchand

Teaching & PhD Courses Applied statistics MATH-516 The course will provide an overview of everyday challenges in applied statistics through case studies. Students will learn how to use core statistical methods and their extensions, and will use computational and problem-solving tools to provide reproducible solutions for the problems presented. Bioinformatic Analysis of RNA-sequencing (Fall) BIO-693(a) Bioinformatic Analysis of RNA-sequencing (Spring) BIO-693(b) This course will take place at EPFL in June 2026, from 8th to 12th, in room AAC 137.It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers students to understand and analyze their own data. Probability and statistics MATH-131 The course introduces the basic notions of probability and statistical inference, with an emphasis on the main concepts and the most commonly used methods. Risk and environmental sustainability MATH-383 This course gives an introduction to the assessment of risk with a particular focus on modelling of rare events, which can have huge environmental impacts. Statistical computation and visualisation MATH-517 The course will provide the opportunity to tackle real world problems requiring advanced computational skills and visualisation techniques to complement statistical thinking. Students will practice proposing efficient solutions, and effectively communicating the results with stakeholders. Statistical consulting and collaborations MATH-663 Analyzing data for a collaborator or client is very different from working on your own research project ; not only do you need competences in statistics, you must also ensure good communication (both ways) in a multi-disciplinary environment, coordination of the work, and the management of everyone.