Today we’re joined by Artur Yakimovich, Co-Founder at Artificial Intelligence for Life Sciences and a visiting scientist in the Lab for Molecular Cell Biology at University College London.
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In our conversation with Artur, we explore the gulf that exists between life science researchers and the tools and applications used by computer scientists. While Artur’s background is in viral chemistry, he has since transitioned to a career in computational biology to “see where chemistry stopped, and biology started.” We discuss his work in that middle ground, looking at quite a few of his recent work applying deep learning and advanced neural networks like capsule networks to his research problems.
Finally, we discuss his efforts building the Artificial Intelligence for Life Sciences community, a non-profit organization he founded to bring scientists from different fields together to share ideas and solve interdisciplinary problems.
Connect with our Artur!
- AI for Life Sciences
- Paper: Inhibition of Poxvirus Gene Expression and Genome Replication by Bisbenzimide Derivatives
- Paper: Vaccinia virus hijacks EGFR signaling to enhance virus spread through rapid and directed infected cell motility
- Paper: The nuclear export factor CRM1 controls juxta-nuclear microtubule-dependent virus transport
- Paper: Plaque2.0—A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion
- Paper: Defining host–pathogen interactions employing an artificial intelligence workflow
- Paper: mSphere of Influence: the Rise of Artificial Intelligence in Infection Biology
- #383 – Cell Exploration with ML at the Allen Institute w/ Jianxu Chen
- #141 – Deep Learning for Live-Cell Imaging with David Van Valen
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“More On That Later” by Lee Rosevere licensed under CC By 4.0