Asst. Prof. at WashU School of Medicine; biophysics/biochem/evolution of intrinsically disordered proteins. How does nature encode function without a stable structure? We work in vivo / in vitro / in silico. He/him.
https://www.holehouselab.com/
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
AI, numerics and systems.
Founding Scientist at Liquid AI
Structural biologist working on 🖥️ protein design, AI, and #CRISPR-Cas gene editing ✂️🧬 Avid weirdness connoisseur 🎩
🧪 Research Scientist @nvidia and PhD student @Oxford staring at proteins all-day
🧑💻 Website/Blog: https://kdidi.netlify.app/
🤖 GitHub: https://github.com/kierandidi
📚 Prev. Cambridge/Heidelberg
Johns Hopkins Chemical & Biomolecular Engineering Professor, Co-Director of RosettaCommons, protein engineer, Baltimore resident, father of two. he/him
Digests proteins. High-throughput protein biophysics and design, Northwestern University. www.rocklinlab.org
Scientist, Assistant Professor at MIT biology, #FirstGen
Exploring the evolutionary diversity of plant-pathogen interactions
Assist. Prof'ing in Data Vis & Sleuth'ing
"Troublemaker for truth" @ABCaustralia
"Dogged critic" @ScienceMagazine
@TEDx speaker #openscience #vegan
Associate Professor @ScrippsResearch. Building neurotech to study how genes and physiology impact brain function 🧬 🧠 jin.scripps.edu
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
Artificial Intelligence for Materials Science (AiMat) group at Karlsruhe Institute of Technology (KIT), Germany
Assistant Professor at Stanford Statistics and Stanford Data Science | Previously postdoc at UW Institute for Protein Design and Columbia. PhD from MIT.
Bioinformatics PhD Student @ UC San Diego
Cancer and immunogenomics
Machine learning for biology | Stanford and Arc Institute
Working in functional genomics, machine learning, and single-cell with a focus on multi-perturbation modeling.
PhD Candidate in labs of Hani Goodarzi and Luke Gilbert @ UCSF and Arc Institute
Comp Bio and ML at Tahoe Therapeutics (formerly Vevo)
Prof. at @stanford.edu & Core Investigator at @arcinstitute.org |
Uncovering drug targets in innate immunity and developing therapeutics for cancer and autoimmunity | Mother of 2 |
https://arcinstitute.org/labs/lilab
