About
I am a computer scientist and researcher at the intersection of AI and computational biology. My mission is to develop novel AI-driven models to support the engineering of enzymes, targeting climate change mitigation and sustainability.
I have recently joined the Marks lab, where I lead the development of ML approaches for protein engineering. My academic journey took shape with a PhD in the Oxford Applied and Theoretical Machine Learning Group, under the supervision of Yarin Gal.
This journey was marked by breakthroughs in protein modeling, mutation effects prediction, viral escape anticipation, and drug design. My findings have been published in premier scientific journals and machine learning conferences, including Nature, NeurIPS, ICML, and ICLR.
I have co-created and am the lead organizer for the Machine Learning for Drug Discovery (MLDD) workshop at ICLR, co-organized the GeneDisco challenges, and co-organize the Workshop on Computational Biology (WCB) at ICML.
I have several years of applied machine learning experience developing AI solutions, primarily within the healthcare and pharmaceutical industries. Before going back to academia, I was a Senior Manager at McKinsey & Company in the New York and Paris offices, where I was leading cross-disciplinary teams on fast-paced analytics engagements.
For my academic endeavors, I am the recipient of a GSK.ai award and recognized as a Google Cloud Innovator.
More info at: https://www.pascalnotin.com/
Joined
October 2023
