AI & the Molecular World
13:30-17:00 January 28

½ day

@ 1A

Schedule

ChemOS: orchestrate self-driving laboratories for next-generation experimentation

13:30-14:00 January 28 · with Loic Roch

End-to-end differentiable learning of protein structure

14:00-14:30 January 28 · with Mohammed AlQuraishi

De Novo Molecular Design by Artificial Intelligence: Can AI help us to generate novel bioactive molecules?

14:30-14:45 January 28 · with Lukas Friedrich

Module Identification in Genomic Networks as an Open Community Challenge

14:45-15:00 January 28 · with Sarvenaz Choobdar

Coffee Break

15:00-15:30 January 28

Deep Learning for Chemical Synthesis and Drug Discovery

15:30-16:00 January 28 · with Marwin Segler

Prediction of personal antibody repertoires

16:00-16:30 January 28 · with Enkelejda Miho

Interpretable classification of molecular measurements via pathway-induced multiple kernel learning

16:30-16:45 January 28 · with Matteo Manica Slides

Deep learning on protein molecular surfaces

16:45-17:00 January 28 · with Pablo Gainza Cirauqui

Speakers

Enkelejda Miho

Professor, FHNW - University of Applied Sciences and Arts Northwestern Switzerland

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Loic Roch

PostDoc, Vector Institute

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Lukas Friedrich

PhD Student, ETH

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Marwin Segler

PhD, Münster University - BenevolentAI

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Matteo Manica

PhD, IBM Research

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Mohammed AlQuraishi

Professor, Harvard

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Pablo Gainza Cirauqui

PostDoc, EPFL

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Sarvenaz Choobdar

Data scientist, UNIL

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Co-organizers

Bruno Correia

Professor, EPFL

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Theophile Gaudin

PhD, IBM Research

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Philippe Schwaller

PhD Student, IBM Research Zurich

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