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
Organizers
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.
Affiliation Luisa Bernardinelli Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. luisa.bernardinelli@unipv.it
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.
Affiliation Davide Gentilini Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. davide.gentilini@unipv.it
