Computational biologist & computer scientist. Teacher, mentor, spouse, parent. Getting through life one step at a time.
Thoughts are my own. She/her.
optimization, inverse problems, also proteins. ml at escalante. formerly: atomicai, xgenomes, broad, berkeley.
Open source #bioinformatics at Sungkyunkwan University 🇰🇷 | former Steinegger Lab @ SNU, Söding Lab @ MPI-NAT | http://mstdn.science/@milotmirdita
Computational Structural Biologist
Assistant Professor @VanderbiltMPB
wankowiczlab.com
(she/her)
Past: UCSF, Dana-Farber, Broad Institute, UMass Amherst
Solve difficult biological problems using ML/AI.
Cancer Risk Assessment - “Catch Cancer Early”.
Perturbation Biology - computational cell biology - design new combo therapies.
Protein design - function and structure.
Computational chemist/structural bioinformatician working on improving molecular simulation at MRC Laboratory of Molecular Biology. jgreener64.github.io
Asst. Prof. Uni Groningen 🇳🇱
Comp & Exp Biochemist, Protein Engineer, 'Would-be designer' (F. Arnold) | SynBio | HT Screens & Selections | Nucleic Acid Enzymes | Biocatalysis | Rstats & Datavis
https://www.fuerstlab.com
https://orcid.org/0000-0001-7720-9
Professor of EECS and Statistics at UC Berkeley. Mathematical and computational biologist.
assistant professor at Princeton University interested in biological and chemical data
Associate professor at ETH Zurich, studying the cellular consequences of genetic variation. Affiliated with the Swiss Institute of Bioinformatics and a part of the LOOP Zurich.
Discover the Languages of Biology
Build computational models to (help) solve biology? Join us! https://www.deboramarkslab.com
DM or mail me!
Biologist that navigate in the oceans of diversity through space-time
Protein evolution, metagenomics, AI/ML/DL
Website https://miangoaren.github.io/
Director of Institute for Computational Genomic Medicine at Goethe University Frankfurt https://cgm.uni-frankfurt.de/
Studying gene regulation and transcription factor binding with machine learning. Assoc Prof at Penn State. 🇮🇪
Computational biologist. Faculty @DukeU. Co-founder http://martini.ai. Prev @MIT_CSAIL. Did quant investing for a while, before returning to research.
https://singhlab.net
Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai
He/him/his
Developing data intensive computational methods • PI @ Seoul National University 🇰🇷 • #FirstGen • he/him • Hauptschüler
Lab studying molecular evolution of proteins and viruses. Affiliated with Fred Hutch & HHMI.
Opinions are my own and do not reflect those of my employer.
https://jbloomlab.org/
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
AI for biology | Stanford and Arc Institute
Computational protein engineering & synthetic biochemistry at Takeda
Opinions my own
https://linktr.ee/ddelalamo
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
Associate Prof @HarvardMed. Microbial evolution, antibiotic resistance, mobile genetic elements, algorithms, phages, molecular biotech, etc. Find me under “floating dumpster fire”
AI4Science researcher. Associate Professor @CSHL. My lab advances AI for genomics and healthcare!
http://koo-lab.github.io
MLing biomolecules en route to structural systems biology. Asst Prof of Systems Biology @Columbia. Prev. @Harvard SysBio; @Stanford Genetics, Stats.
Generative models for protein design.
Group leader at CRG
Scientist, Assistant Professor at MIT biology, #FirstGen
Avid rower who sometimes thinks about biomolecular dynamics. Asst Prof @uwbiochem.bsky.social
https://waymentsteelelab.org/
Associate professor Duke BME
www.romerolab.org
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Assistant Professor UAS at HES-SO Valais-Wallis 🇨🇭 🤗 HF Fellow. Working on AI, Protein Design and Open Science. Creator of bioicons.com
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
