08:50-09:00
Opening Remarks
Opening Remarks
ML4LMS aims to highlight translational machine learning research in biology and chemistry for real-world applications in life and materials science
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.
Contributing to defining speakers, sponsors, the website and reviewing submissions.
Name | Affiliation |
---|---|
Ahmed Elhag | University of Oxford |
Alex Morehead | MizzoU |
Alishba Imran | UC Berkeley |
Amir Shanehsazzadeh | Absci |
Amy X. Lu | UC Berkeley |
Anna Cichonska | Harmonic Discovery |
Aoran Wang | U Luxembourg |
Arvind Ramanathan | Argonne |
Chaitanya K. Joshi | University of Cambridge |
Chenyu Wang | MIT |
Danny Jesus Diaz | Intelligent Proteins |
Daniel McNeela | Valence Labs / UW Madison |
Elif Ozkirimli | Roche |
Eve Richardson | La Jolla Institute |
Guillem Simeon | UPFBarcelona |
Halil Akin | Evolutionary scale |
Jeff Ruffolo | Profluent |
Jiarui Lu | Mila |
Justin Barton | Alchemab |
Justin Diamond | U Basel |
Kang Jin | Harvard U |
Kenneth Chiu | Binghamton |
Krzysztof Maziarz | Microsoft Research |
Krisztina Sinkovics | University of Cambridge |
Maciej Majewski | Sanofi |
Majdi Hassan | Mila |
Michael Chase | University of Southern California |
Muneeb Sultan | Absci |
Nate Gruver | NYU |
Nathan Frey | Prescient - Genentech |
Nicolas Carran | InstaDeep |
Rayees Rahman | Harmonic Discovery |
Rico Meinl | retro.bio |
Rohit Singh | Duke |
Ryan Theisen | Harmonic Discovery |
Stanislaw Jastrzebski | MoleculeOne |
Therence Bois | Valence Labs |
Tuan Le | Pfizer |
Yanan Long | University of Chicago |
Zuobai Zhang | Mila |