Correspondent on the Daily Show. Standup Comic & Emmy-nominated writer. Listen to the Josh Johnson Show podcast on Spotify + Apple
https://linktr.ee/joshjohnsoncomedy
Research in AI for Protein Design @Harvard | Prev. CS PhD @UniofOxford, Maths & Physics @Polytechnique
Assistant Professor at EPFL, ML/AI-accelerated Chemistry & Synthesis | Educating the next generation of chemists and leading a fantastic team (https://schwallergroup.github.io) | Previously IBM Research / Uni Bern / Uni Cambridge / EPFL | he/his
This is so funny did Shayne write this?
Husband, Father and grandfather, Datahound, Dog lover, Fan of Celtic music, Former NIGMS director, Former EiC of Science magazine, Stand Up for Science advisor, Pittsburgh, PA
NIH Dashboard: https://jeremymberg.github.io/jeremyberg.github.io/index.html
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
Cheminformatics, ML, Drug Discovery
Professor at UC San Diego. Computational biophysics, biology, chemistry. Multiscale modeler. Viruses. Cancer. Co-Director of the Airborne Institute.
Medicinal chemist / chemical biologist, author of “In the Pipeline” at http://science.org/blogs/pipeline. derekb.lowe@gmail.com and on Signal at Dblowe.18
All opinions are mine; I don’t speak for my employer in any way.
Scientist, teacher, mentor, mom. Definitely not the gov of IA. Interested in systems biology, molecular evolution, bacterial genomes, protein engineering, and synth bio.
Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own
Scientist and Group Leader of the Simons Machine Learning Center
@SEMC_NYSBC. Co-founder and CEO of http://OpenProtein.AI. Opinions are my own.
Automated discovery of AI x Bio preprint papers.
https://www.bodegacats.nyc
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
Removing barriers to computational drug discovery one bit at a time. Associate Professor in Computational and Systems Biology at the University of Pittsburgh.
https://bits.csb.pitt.edu/
RNA, Evolutionary Biology, Machine Learning, and ancient history.
Building evolutionary ML models.
Cambridge, UK
