optimization, inverse problems, also proteins. ml at escalante. formerly: atomicai, xgenomes, broad, berkeley.
Principally plays with proteins (in silico) at Profluent Bio. Tweets are my own.
A business analyst at heart who enjoys delving into AI, ML, data engineering, data science, data analytics, and modeling. My views are my own.
You can also find me at threads: @sung.kim.mw
Husband, Father, Grandfather, Datahound, Dog lover, Fan of Celtic music, Former NIGMS director, Former EiC of Science, Stand Up for Science advisor, Shenanigator, Pittsburgh, PA
NIH Dashboard: https://jeremymberg.github.io/jeremyberg.github.io/index.html
All views and opinions expressed are my own.
Senior lecturer in Computational Biophysics @ University of Edinburgh molecular simulations, machine learning and baking enthusiasts. Occasional mathematics outreach
Core Investigator @ Arc Institute | Associate Professor @ UCSF | {Computational, Systems, Cancer, RNA} biologist | Co-founder @exaibio @vevo_ai
Assistant Professor at UC Berkeley and UCSF.
Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
Encode AI for Science Fellow (Pillar VC / Imperial College London) Protein Design, PhD in machine learning for structural biology at UCL
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
PhD candidate at MIT CSAIL. Generative models, protein design.
Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University.
Website: https://people.csail.mit.edu/jyim/
X: https://x.com/json_yim
PhD student @EPFL 🇨🇭
ML & computational biology 🤖🧬⚛️
Professor in bioinformatics, Stockholm University. Protein structure lover ( interactions predictions, evolution ..). Using machine learning as a part of AI for Sciences for halv my life. In addition to succén, I sometimes rants about sailing or skiing.
Computational biophysicist, et al. Opinions expressed are my own.
Also @giorginolab@mstdn.science on Mastodon.
Systems immunologist at Yale, @yalecsei.bsky.social, @czbiohub.bsky.social
Me: https://medicine.yale.edu/profile/john-tsang/
Lab: https://www.tsanglab.org
Center: https://medicine.yale.edu/systems-engineering-immunology/
Science is the best use of ML
PhD Student @CMUPittCompBio.bsky.social / @SCSatCMU.bsky.social
Interested in ML for science/Compuational drug discovery/AI-assisted scientific discovery 🤞
from 🇱🇰🫶 https://new.ramith.fyi
Senior Chemøinformatician at Merck | Postdoc@Broad Institute of MIT and Harvard, Cambridge(MA) | PhD@University of Cambridge(UK) | AI, Image Analysis, bioML, -omics data, and Cell Painting for drug discovery. srijitseal.com/tools
Data Scientist Generative AI @BayerCropScience. ML for Plant Biology. PhD @IowaStateUniversity https://www.linkedin.com/in/koushik-nagasubramanian/
