Machine Learning for Life and Material Science: From Theory to Industry applications

Andrea Vollkamer

University of Saarland

German bioinformatician & professor of Data-Driven Drug Design at Saarland Uni and associated researcher at Helmholtz Institute for Pharmaceutical Research Saarland.

Aviv Regev

Genentech

Computational biologist & Executive VP of Genentech. Also a core member at Broad Institute and professor at Massachusetts Institute of Technology.

Cecilia Clementi

FU Berlin

Professor of Chemistry & Biomolecular Engineering at Rice University. She is also a Senior Scientist at the Center for Theoretical Biological Physics and co-Director of the National Science Foundation Molecular Sciences Software Institute.

Charlotte M. Deane, MBE

University of Oxford

Prof. of Structural Bioinformatics at University of Oxford and former Head of Statistics. Currently serving as the Executive Chair of the Engineering and Physical Sciences Research Council.

Christian Dallago

NVIDIA, TU Munich

Chris is a computer scientist turned bioinformatician focusing on protein sequence representation learning. He is dedicated to addressing problems with scarce data, particularly in designing new proteins for therapeutic or industrial applications.

Francesca Grisoni

TU/Eindhoven

Assistant Professor in the Department of Biomedical Engineering at TU/Eindhoven, leading the Molecular Machine Learning team. Her research primarily centres on developing novel artificial intelligence methods for drug discovery, integrating computation and experimental validation in the wet-lab.

Kevin Yang

Microsoft Research

Kevin Yang is a senior researcher at Microsoft Research in Cambridge, MA, focusing on problems at the intersection of machine learning and biology. He obtained his PhD from Caltech under Frances Arnold's supervision, specializing in applying machine learning to protein engineering.

Marwim Segler

Microsoft Research

Marwin Segler is a team lead at Microsoft Research AI4Science, specialising in chemistry, drug discovery, and machine learning. Prior to his current role, he worked at BenevolentAI (London) and obtained his PhD in chemistry from the University of Muenster.

Nicholas Sofroniew

Chan Zuckerberg Initiative

Nicholas leads the imaging technology team at the Chan Zuckerberg Initiative, focused on developing new imaging technology for measuring biology in action. He has a background in systems neuroscience and mathematics, and was previously a researcher at the Janelia Research Campus.

Peter Koo

Cold Spring Harbor Laboratory

Peter K. Koo is an academic researcher at Cold Spring Harbor Laboratory, with contributions to interpretability & medicine research. He has an h-index of 13, co-authored 39 publications receiving 579 citations. Previous affiliations include Loyola Marymount University & Yale University.

Pranam Chatterjee

Duke University

Assistant Professor of Biomedical Engineering and Computer Science at Duke University. His research focuses on generative AI and protein engineering for applications in genome, proteome, and cell engineering. A PhD graduate of the MIT Media Lab, he developed robust genome editing technologies using CRISPR enzymes.

Rebecca K. Lindsey

University of Michigan

Rebecca K. Lindsey is an Assistant Professor of Chemical Engineering at the University of Michigan. She also holds courtesy appointments in Applied Physics, Nuclear Engineering and Radiological Sciences, and Materials Science. Prior to joining UM, Dr. Lindsey led various research teams within the Energetic Materials Center at Lawrence Livermore National Laboratory.

Ying Wai Li

Los Alamos National Laboratory

a computational physicist, delves into algorithms and high-performance computing, exploring material properties and optimizing computer simulations. She's a specialist in thermodynamics and algorithm design, advancing research in both physics and computer science.

Puck van Gerwen

EPFL

PhD student developing machine-learning models for molecules and chemical reactions

Charlie Harris

University of Cambridge

PhD Student at the Cambridge Centre for AI in Medicine. Working in Geometric Deep Learning and Structural Biology.

Jinwoo Leem

Alchemab Therapeutics

Director of Machine Learning Alchemab Therapeutics. DPhil in Bioinformatics by the University of Oxford.

Umberto Lupo

EPFL

Post-doctoral Researcher, machine learning & computational biology. PhD Theoretical and Mathematical Physics

Michael Pieler

Stability AI

LLM Research at Stability AI. Deep learning engineer with a biotechnology background.

Bruno Trentini

NVIDIA

Global Life Sciences Research Alliances Lead at NVIDIA. Interested in Geometric Deep Learning and Biomolecular design.

Olivia Viessmann

Flagship Pioneering

Senior Machine Learning Scientist in the Pioneering Intelligence team, with a focus on biotech applications.

Ellen Zhong

Princeton University

Assistant Professor of Computer Science at Princeton University. Interested in the Intersection of AI and Biology.