Connectionists: AIDD Spring School - Advanced Machine Learning for Drug Discovery (IDSIA, Lugano)

[Igor Tetko]

Lectures are streamed online. Lectures for the next days are:

Thursday, May 12
Geometric Deep Learning	Silvio Giancola
Artificial intelligence and chemical space	Jean-Louis Reymond
Comparing and clustering synthetic route prediction	Samuel Genheden
Explainable AI: Interpreting, explaining and visualizing deep learning
Alessandro Antonucci, Alessandro Facchini

Friday, May 13
Can we learn chemical and energetic properties from molecular simulations?	Vittorio Limongelli
Integrative structural biology and to study the structure and dynamics of biomolecular complexes and in structure-based drug discovery Michael Sattler 
AI Formula Generator (Swiss Digital Innovation of the Year 2021 award)	Guillaume Godin
Conformal Prediction for the Design Problem	Clara Wong-Fannjiang (Zoom)

Monday, May 16
Gaussian processes and sequential design of experiments	Dario Azzimonti
The Bayesian approach: models and inference	Adam Arany
Cell Painting assay: data analysis, reporting and applications	Axel Pahl
Overview of toxicity prediction methods	Emilio Benfenati

Tuesday, May 17
Presentation of the H2020 MSCA-RISE project "VIRTUOUS"	Dario Piga and Gianvito Grasso
Challenges in ML	3 short talks and brainstorming

The program with time (CET) is available at:
https://www.idsia.ch/idsia_en/highlights/events/2022/2022-05-7.html <https://www.idsia.ch/idsia_en/highlights/events/2022/2022-05-7.html>
or
https://ai-dd.eu/news <https://ai-dd.eu/news>

See overview of the previous lectures at:
https://twitter.com/AiddOne <https://twitter.com/AiddOne>

Dr. Igor V. Tetko
Group leader 
Helmholtz Munich

http://ai-dd.eu <http://ai-dd.eu/>
http://ochem.eu





Helmholtz Zentrum München Deutsches Forschungszentrum fuer Gesundheit und Umwelt (GmbH), Ingolstaedter Landstr. 1, 85764 Neuherberg, www.helmholtz-munich.de 

Geschaeftsfuehrung:  Prof. Dr. med. Dr. h.c. Matthias Tschoep, Kerstin Guenther | Aufsichtsratsvorsitzende: Prof. Dr. Veronika von Messling | Registergericht: Amtsgericht Muenchen  HRB 6466 | USt-IdNr. DE 129521671

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