08:50-09:00
Opening Remarks
Welcome & Opening Remarks by the Organizers
ML4LMS aims to highlight translational machine learning research in biology and chemistry for real-world applications in life and materials science
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This workshop is supported by the European Laboratory for Learning and Intelligent Systems (ELLIS). 🔗 Check the key contributors and Commitee Members. |
Leading researchers from Industry and Academia will be at the workshop.
See all speakersLeading the workshops' vision and steering the community.
German bioinformatician & professor of Data-Driven Drug Design at Saarland Uni and associated researcher at Helmholtz Institute for Pharmaceutical Research Saarland.
Computational biologist & Executive VP of Genentech. Also a core member at Broad Institute and professor at Massachusetts Institute of Technology.
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.
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.
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.
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 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 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 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 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.
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 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.
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.
Dedicated to community outreach, workshop logistics, and managing submissions & reviews.
PhD student developing machine-learning models for molecules and chemical reactions
PhD Student at the Cambridge Centre for AI in Medicine. Working in Geometric Deep Learning and Structural Biology.
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
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.
Senior Machine Learning Scientist in the Pioneering Intelligence team, with a focus on biotech applications.
Assistant Professor of Computer Science at Princeton University. Interested in the Intersection of AI and Biology.
Thank you very much for each one of you who contributed to the success of this workshop!
Name | Affiliation |
---|---|
Adeesh Kolluru | Carnegie Mellon University |
Adrian S. W. Tam | NVIDIA |
Agamemnon Krasoulis | University of Edinburgh |
Ahmed A. A. Elhag | Department of Computer Science, University of Oxford |
Akshay Paropkari | Clear Labs |
Alex Hawkins-Hooker | InstaDeep |
Alex Morehead | University of Missouri, Columbia |
Alexandra Gessner | AstraZeneca |
Alexis Molina | Nostrum Biodiscovery |
Amey Varhade | International Business Machines |
Amir Pouya Shanehsazzadeh | Harvard University |
Andrew Buchanan | AstraZeneca |
Anirvan M. Sengupta | Rutgers University |
Aoran Wang | University of Luxemburg |
Arian Khorasani | University of Montreal |
Ariel J Ben Sasson | ZipBio |
Asif Khan | Harvard Medical School, Harvard University |
Atabey Ünlü | Hacettepe University |
Ayush Prasad | University of Helsinki |
Chenyu Wang | Massachusetts Institute of Technology |
Chi Xie | Tongji University |
Cristian Regep | Relation Therapeutics |
Cyril Malbranke | EPFL - EPF Lausanne |
Daniel McNeela | University of Wisconsin - Madison |
Daniel Soric | Deep LS |
Danny Reidenbach | NVIDIA |
David Zhang | Yale University |
Defne Circi | Duke University |
Emanuele Loffredo | Ecole Normale Supérieure de Paris |
Emile Mathieu | University of Cambridge |
Franco Pellegrini | International School for Advanced Studies Trieste |
Frederic A Dreyer | Exscientia |
Guillem Simeon | Universitat Pompeu Fabra |
Guoqing Zhou | NVIDIA |
Hassan Sirelkhatim | NVIDIA |
Hrishikesh Dhondge | Institut Curie |
Hsun-Hsien Shane Chang | Novartis |
Ido Calman | Absci Corp. |
Indra Priyadarsini | IBM Research - Tokyo, International Business Machines |
Isabel VL Wilkinson | NVIDIA |
Jared Tumiel | Retro Biosciences |
Jiarui Lu | Mila - Québec AI Institute; Université de Montréal |
Jie Sheng | University of Wisconsin - Madison |
Jinwoo Leem | Alchemab Therapeutics Ltd |
John D Boom | Columbia University |
Jonas Verhellen | University of Oslo |
Julian Rodemann | Ludwig-Maximilians-Universität München |
Juno Nam | Massachusetts Institute of Technology |
Justin Barton | Alchemab Therapeutics |
Justin Diamond | University of Basel |
Kenneth Chiu | State University of New York at Binghamton |
Khalimat Murtazalieva | University of Cambridge |
Kieran Didi | University of Cambridge |
Kiran Vaddi | University of Washington |
Krisztina Sinkovics | University of Cambridge |
Ksenia R. Briling | EPFL - EPF Lausanne |
Leo Klarner | University of Oxford |
Liv Gorton | Cellware Labs |
Luis Itza Vazquez-Salazar | Ruprecht-Karls-Universität Heidelberg |
Luiz Felipe Vecchietti | Institute for Basic Science |
Maciej Majewski | Sanofi |
Maitreyee Sharma Priyadarshini | Johns Hopkins University |
Majdi Hassan | AbbVie |
Markus Orsi | Universität Bern |
Maximilian Gantz | University of Cambridge |
Micha Livne | University of Toronto |
Michael Jones | University of Chicago |
Michelle Lynn Gill | Columbia University |
Micky C. Nnamdi | Georgia Institute of Technology |
Miruna Cretu | University of Cambridge |
Mohammad Sultan | insitro |
Nathan C. Frey | Prescient Design, Genentech |
Nelly Tian | University of Southern California |
Niccolò Alberto Elia Venanzi | NVIDIA |
Nicholas R De Veaux | New York University |
NIKHIL KUMAR THOTA | Johns Hopkins University |
Oliver M. Turnbull | University of Oxford |
Qiaohao Liang | Massachusetts Institute of Technology |
Qilin Hong | University of Wisconsin - Madison |
Ragothaman M Yennamalli | SASTRA Deemed University |
Rana Ahmed Barghout | University of Toronto |
Rayees Rahman | Icahn School of Medicine at Mount Sinai |
Ria Vinod | Brown University |
Rico Meinl | Retro Biosciences |
Rishabh Anand | National University of Singapore |
Rishikesh Magar | Deep Apple Therapeutics |
Romain Lacombe | Massachusetts Institute of Technology |
Ryan Theisen | University of California Berkeley |
Sarah Gurev | Massachusetts Institute of Technology |
Sarika Mulukuntla | University of North America |
Sharmi Banerjee | Amazon |
Shiyi Qin | University of Wisconsin - Madison |
Shuhao Zhang | EPFL - EPF Lausanne |
Siddharth Betala | Indian Institute of Technology, Madras |
Siddharth Goyal | |
Simon L. Dürr | EPFL - EPF Lausanne |
Sofia Mongardi | Polytechnic Institute of Milan |
Somesh Mohapatra | Massachusetts Institute of Technology |
Soumya Snigdha Kundu | King's College London, University of London |
Sovesh Mohapatra | University of Pennsylvania, University of Pennsylvania |
Srijit Seal | University of Cambridge |
Srimukh Prasad Veccham | NVIDIA |
Srinivasan Sivanandan | Insitro |
Sukwon Yun | Department of Computer Science, University of North Carolina at Chapel Hill |
Tashin Ahmed | Cinq Technologies |
Therence Bois | Université de Montréal |
Tian Xie | Microsoft Research AI for Science |
Timon Schneider | Imperial College London |
Trang Le | Stanford University |
Tuan Le | Pfizer |
Tunca Dogan | Hacettepe University |
Vahe Gharakhanyan | |
Vidushi Sharma | International Business Machines |
Vishal Bahirwani | Capital One |
Wenkai Han | King Abdullah University of Science and Technology |
Xinyu Yuan | Montreal Institute for Learning Algorithms, University of Montreal, Université de Montréal |
Yanan Long | University of Chicago |
Yi Ren | Arizona State University |
Yufan Liu | Imperial College London |
Žarko Ivković | Universitat de Barcelona |
Zhangzhi Peng | Duke University |
Zhonglin Cao | NVIDIA |
Zhongtian Sun | University of Durham |
Zuobai Zhang | Mila - Université de Montréal |