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

ML4LMS Workshop

ICML'24 - July 26th, Vienna, Austria

ML4LMS aims to highlight translational machine learning research in biology and chemistry for real-world applications in life and materials science


🏆 Discover the ML4LMS Award Winners! Click Here to See the List

✅ Click here to see accepted papers on Open Review

This workshop is supported by the European Laboratory for Learning and Intelligent Systems (ELLIS). 🔗 Check the key contributors and Commitee Members.

ML4LMS's Picture
Sepp Hochreiter
Material Sciences

Sepp Hochreiter

Professor at Johannes Kepler Universität Linz

David Pfau
Material Sciences

David Pfau

Staff Research Scientist at DeepMind

08:50-09:00

Opening Remarks

Welcome & Opening Remarks by the Organizers

Laksh Aithani

09:00-09:30

Laksh Aithani

CEO, CHARM Therapeutics

Andrea Volkamer

Andrea Volkamer

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

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

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

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

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

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

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.

Marwin Segler

Marwin 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

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

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

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

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

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.

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

Charlie Harris

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

Jinwoo Leem

Alchemab Therapeutics

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

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

Michael Pieler

Michael Pieler

Stability AI

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

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

Olivia Viessmann

Olivia Viessmann

Flagship Pioneering

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

Ellen Zhong

Ellen Zhong

Princeton University

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

NameAffiliation
Adeesh KolluruCarnegie Mellon University
Adrian S. W. TamNVIDIA
Agamemnon KrasoulisUniversity of Edinburgh
Ahmed A. A. ElhagDepartment of Computer Science, University of Oxford
Akshay ParopkariClear Labs
Alex Hawkins-HookerInstaDeep
Alex MoreheadUniversity of Missouri, Columbia
Alexandra GessnerAstraZeneca
Alexis MolinaNostrum Biodiscovery
Amey VarhadeInternational Business Machines
Amir Pouya ShanehsazzadehHarvard University
Andrew BuchananAstraZeneca
Anirvan M. SenguptaRutgers University
Aoran WangUniversity of Luxemburg
Arian KhorasaniUniversity of Montreal
Ariel J Ben SassonZipBio
Asif KhanHarvard Medical School, Harvard University
Atabey ÜnlüHacettepe University
Ayush PrasadUniversity of Helsinki
Chenyu WangMassachusetts Institute of Technology
Chi XieTongji University
Cristian RegepRelation Therapeutics
Cyril MalbrankeEPFL - EPF Lausanne
Daniel McNeelaUniversity of Wisconsin - Madison
Daniel SoricDeep LS
Danny ReidenbachNVIDIA
David ZhangYale University
Defne CirciDuke University
Emanuele LoffredoEcole Normale Supérieure de Paris
Emile MathieuUniversity of Cambridge
Franco PellegriniInternational School for Advanced Studies Trieste
Frederic A DreyerExscientia
Guillem SimeonUniversitat Pompeu Fabra
Guoqing ZhouNVIDIA
Hassan SirelkhatimNVIDIA
Hrishikesh DhondgeInstitut Curie
Hsun-Hsien Shane ChangNovartis
Ido CalmanAbsci Corp.
Indra PriyadarsiniIBM Research - Tokyo, International Business Machines
Isabel VL WilkinsonNVIDIA
Jared TumielRetro Biosciences
Jiarui LuMila - Québec AI Institute; Université de Montréal
Jie ShengUniversity of Wisconsin - Madison
Jinwoo LeemAlchemab Therapeutics Ltd
John D BoomColumbia University
Jonas VerhellenUniversity of Oslo
Julian RodemannLudwig-Maximilians-Universität München
Juno NamMassachusetts Institute of Technology
Justin BartonAlchemab Therapeutics
Justin DiamondUniversity of Basel
Kenneth ChiuState University of New York at Binghamton
Khalimat MurtazalievaUniversity of Cambridge
Kieran DidiUniversity of Cambridge
Kiran VaddiUniversity of Washington
Krisztina SinkovicsUniversity of Cambridge
Ksenia R. BrilingEPFL - EPF Lausanne
Leo KlarnerUniversity of Oxford
Liv GortonCellware Labs
Luis Itza Vazquez-SalazarRuprecht-Karls-Universität Heidelberg
Luiz Felipe VecchiettiInstitute for Basic Science
Maciej MajewskiSanofi
Maitreyee Sharma PriyadarshiniJohns Hopkins University
Majdi HassanAbbVie
Markus OrsiUniversität Bern
Maximilian GantzUniversity of Cambridge
Micha LivneUniversity of Toronto
Michael JonesUniversity of Chicago
Michelle Lynn GillColumbia University
Micky C. NnamdiGeorgia Institute of Technology
Miruna CretuUniversity of Cambridge
Mohammad Sultaninsitro
Nathan C. FreyPrescient Design, Genentech
Nelly TianUniversity of Southern California
Niccolò Alberto Elia VenanziNVIDIA
Nicholas R De VeauxNew York University
NIKHIL KUMAR THOTAJohns Hopkins University
Oliver M. TurnbullUniversity of Oxford
Qiaohao LiangMassachusetts Institute of Technology
Qilin HongUniversity of Wisconsin - Madison
Ragothaman M YennamalliSASTRA Deemed University
Rana Ahmed BarghoutUniversity of Toronto
Rayees RahmanIcahn School of Medicine at Mount Sinai
Ria VinodBrown University
Rico MeinlRetro Biosciences
Rishabh AnandNational University of Singapore
Rishikesh MagarDeep Apple Therapeutics
Romain LacombeMassachusetts Institute of Technology
Ryan TheisenUniversity of California Berkeley
Sarah GurevMassachusetts Institute of Technology
Sarika MulukuntlaUniversity of North America
Sharmi BanerjeeAmazon
Shiyi QinUniversity of Wisconsin - Madison
Shuhao ZhangEPFL - EPF Lausanne
Siddharth BetalaIndian Institute of Technology, Madras
Siddharth GoyalGoogle
Simon L. DürrEPFL - EPF Lausanne
Sofia MongardiPolytechnic Institute of Milan
Somesh MohapatraMassachusetts Institute of Technology
Soumya Snigdha KunduKing's College London, University of London
Sovesh MohapatraUniversity of Pennsylvania, University of Pennsylvania
Srijit SealUniversity of Cambridge
Srimukh Prasad VecchamNVIDIA
Srinivasan SivanandanInsitro
Sukwon YunDepartment of Computer Science, University of North Carolina at Chapel Hill
Tashin AhmedCinq Technologies
Therence BoisUniversité de Montréal
Tian XieMicrosoft Research AI for Science
Timon SchneiderImperial College London
Trang LeStanford University
Tuan LePfizer
Tunca DoganHacettepe University
Vahe GharakhanyanFacebook
Vidushi SharmaInternational Business Machines
Vishal BahirwaniCapital One
Wenkai HanKing Abdullah University of Science and Technology
Xinyu YuanMontreal Institute for Learning Algorithms, University of Montreal, Université de Montréal
Yanan LongUniversity of Chicago
Yi RenArizona State University
Yufan LiuImperial College London
Žarko IvkovićUniversitat de Barcelona
Zhangzhi PengDuke University
Zhonglin CaoNVIDIA
Zhongtian SunUniversity of Durham
Zuobai ZhangMila - Université de Montréal