Data Science: Machine Learning and its Applications in Genomics, Chemistry and Neuroscience

Course structure

The course lasts 9 full time days ( 9.30 am – 17.30 pm CEST ) and it is structured in lectures and practical sessions.
The course will be given ONLINE in vivo and simultaneously RECORDED.
The recordings will be make available to the registered students.

Day 1 : – 07/09/2020 – Introduction and Python primer

Day 2 : – 08/9/2020 – Advanced Python, Software Development and Scientific Libraries

Day 3 : – 09/9/2020 – Fundamentals and Supervised Learning

Day 4 : – 10/9/2020 – Unsupervised Learning and Probabilistic Machine Learning

Day 5 : – 11/9/2020 – Causal Inference and Notions of Reinforcement Learning

Day 6 : – 14/9/2020 – Applications  in Chemistry

Day 7 : – 15/9/2020 – Applications  in Neuroscience

Day 8 : – 16/9/2020 – Applications  in Medical Genomics

Day 9 :– 17/9/2020 – Applications  in Microbial Genomics


Prof. Luisa Bernardinelli

Luisa Bernardinelli is a Full Professor in Medical Statistics,  Department of Brain and Behavioral Sciences, University of Pavia. She is a member of the Scuola di Alta Formazione Dottorale and of Faculty of of the Phd course in Psycology, Neuroscience and Data Science in Biomedicine. Her main research interest is Casual Inference in genetics and genomics applied to Multiple Sclerosis.
Luisa Bernardinelli
Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.

Dr Davide Gentilini

Davide Gentilini is a Type B fixed-term researcher in the Department of Brain and Behavioral Sciences at the University of Pavia. He is mostly interested in genomics in the field of complex diseases. He has two main research lines, one on genomic epidemiology and the second on the epigenetics. The main purpose is to study genotype-phenotype correlation by using analysis models that consider whole genetic and epigenetic information.
Davide Gentilini
Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.