Scientist Stories: Tal Einav, Blending Biophysics & Machine Learning to Predict Antibody Response @axialxyz
Scientist Stories: Tal Einav, Blending Biophysics & Machine Learning to Predict Antibody Response  @axialxyz
Uploaded July 2024 | Updated September 2026, 2 weeks ago
Tal Einav is an assistant professor at La Jolla Institute for Immunology. He completed his physics Ph.D. at Caltech, spent a year working as a software developer at Wolfram Research, and did a postdoctoral fellowship in computational immunology at the Fred Hutch Cancer Center in Seattle. This diverse set of skills inspires unique ways of thinking about what the future of immunology could look like.

scholar.google.com/citations?user=c9qSIwMAAAAJ

#biotechnology #science #vc #startup #startups #startupideas #biology #biotech #chemistry #business #speech #speeches #investing #investment #lifescience #casestudy #scientist #scientists #inventors #inventor #inventions #invention #research #innovation #siliconvalley #entrepreneur #entrepreneurship #entrepreneurs #healthcare #genomics #genetics #history #biologia #technology #tech #founderstories #founder #founders #founderstory #scienceandtechnology #sciencestory #stories #bioengineering #engineering #engineer #biochemistry #discovery #discover #technical #health #education #educational #learning #learn #podcast #podcasts #podcasting #podcaster #technews

Axial Newsletter: axial.substack.com
Build with Axial: build.axialvc.com
https://linktr.ee/axialxyz
Scientist Stories: Tal Einav, Blending Biophysics & Machine Learning to Predict Antibody ResponseScientist Stories: David Schaffer, Engineering Viruses for Gene TherapyScientist Stories: Gang Li, Pseudotime analysis for single cell sequencing and imaging dataScientist Stories: Craig Venter, What is Life?Scientist Stories: Mark Gerstein, Cancer GenomicsScientist Stories: Zachary Sims, Masked Image Modeling Approach to CyCIFScientist Stories: Eimear Kenny, Population Genetics in an Era of GenomicsGeorge Whitesides, Reverse engineering biologyScientist Stories: Heidi Rehm, Clinical GenomicsScientist Stories: Samuel Alber, Random Subsampling Meets ConfoundersScientist Stories: Kasia Kedzierska, Limits of zero shot foundation models in single cell biologyScientist Stories: Shane Bergin, Science Engagement
Axial |

Scientist Stories: Tal Einav, Blending Biophysics & Machine Learning to Predict Antibody Response

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER