PhD student at University of Copenhagen, @DIKU, @KU_BioML group, DDSA fellow.
Professor #compbiophys #compchem @UT_Dallas
QM/MM force fields DNA rep./modif., cancer biomarkers, ionic liquids, #SACNAS, views my own, he/él 🇲🇽🇺🇸
Professor, Chemistry and Chemical Biology, Rutgers University. Interested in protein design, enzymes, molecular modeling, biophysics, AI/ML for bioX.
Here for science, society and lack of toxicity
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
Computer Science PhD Student at the University of Chicago. Genome-scale language models. AI steered molecular dynamics. AI4Science.
Assistant Professor at UMich with a focus on computational pharmacology (he/him)
Postdoc in the lab of David Baker | University of Washington | Building new molecular motors | Schmidt Science Fellow 2024 | PhD with Cees Dekker @ TUD
Prof. @UC Davis ∙structural biologist⚛︎ ubiquitin system aficionado ✾ signaling & sensing mechanisms in plants🌱in vivo interacomes 🎸dad of 2
https://shabek-lab.ucdavis.edu/
Head of Bioprogrammable Materials group at Leibniz Inst. for New Materials, Germany.
Engineered Living Materials
Dad of 2.
VR enthusiast.
Futurephilic.
Posts are mine.
Comp chemist, experience modelling reactivity and catalyst design. 💻
Figuring out what's next while brewing coffee... ☕
PhD | Uni of St Andrews | Bühl group 🏴
Unofficial account exploring the intersection of biology, molecules, science, AI and protein folding with AlphaFold.
Postdoc @corteva in synthetic biology, Interested in enzymes, protein engineering, & biocatalysis. Formerly UWMadison and ValpoU.
Postdoc at Dedecker Lab
Protein engineer
e-tsundoku, supplementary info: nlab fan account, arxiv surveyor, pubmed enjoyer, two culture bridger, vacuous high gossiper, dearth of any domain expertise, reluctant g theorist, gpu poor
Theoretical physicist with a PhD in neuroscience. Postdoc in protein-protein interactions. Into art, science, and innovation.
Currently: Copenhagen 🇩🇰
Previously: Oslo 🇳🇴, London 🇬🇧, Brussels 🇧🇪
Researcher at Google DeepMind. Previously Arnold group at Caltech. Making useful molecules!
#Biotech research project delivering novel tools to discover and improve #enzymes of industrial and consumer interest. Funded by #H2020 under GA101000560.
Thanks for coming to “Foundation Models for Biological Discoveries” (FMs4Bio) @ AAAI 2025!