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

½ day

@ 1A


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


Enkelejda Miho

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

More info

Loic Roch

PostDoc, Vector Institute

More info

Lukas Friedrich

PhD Student, ETH

More info

Marwin Segler

PhD, Münster University - BenevolentAI

More info

Matteo Manica

PhD, IBM Research

More info

Mohammed AlQuraishi

Professor, Harvard

More info

Pablo Gainza Cirauqui

PostDoc, EPFL

More info

Sarvenaz Choobdar

Data scientist, UNIL

More info



Bruno Correia

Professor, EPFL


Theophile Gaudin

PhD, IBM Research

Twitter  ·  Website

Philippe Schwaller

PhD Student, IBM Research Zurich

Twitter  ·  Website

AI & Media

AI & Trust