Ben

Postdoc in Anders Hansen Lab @MIT Fascinated by nuclear organization, neurons, and imaging 🔬 | Leading Edge Fellow | she/her

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.

CS PhD student NCI & UMD

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.

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/

Theoretical Physics, RNA, Condensates, Evolutionary Biology, Machine Learning, and Ancient History. Cambridge, UK

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)

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/

Biophysicist｜Damon Runyon QB & NCI Early Stage K99/R00 Fellow at MSKCC w/ @jchodera.bsky.social | @foldingathome.org | PhD with @drgregbowman.bsky.social | Variant Effects, Protein dynamics, Dogs, Games 🇮🇳🇸🇬🇺🇸 My website: https://sukritsingh.github.io

PhD AI for Drug Discovery @QMUL, @EPFL, @MSDintheUK. ex-{@TUDelft, @CureVacRNA}. Researching the intersection of AI and biology to improve human health. 🧬🤖

Computational chemist with a focus on QM, Force Fields, and how ML can aid in both. Also: Cosplayer, LARP writer, birder, occasional science communicator, and several other things. She/they.

Postdoc at @geochurch's lab, @harvardmed | Previously ML scientist @HarmonicDiscov | PhD @ETH | ML for small molecules and macromolecules | Il est où Kadoc?

Senior editor @science.org. Molecular biology, #DNA, #RNA, #gene regulation, #epigenetics, nuclear biology, #chromatin biology, 3D #genome, #synbio, #CRISPR and gene editing, other bacterial immune systems, and #AI in all these

AI Research Scientist @alleninstitute.org | PhD from @ox.ac.uk | prev: intern @msftresearch.bsky.social New England & Novo Nordisk | she/her | kasia.codes

🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.

🧬 Structural Bioinformatics | 💊 AI/ML for Drug Discovery | Geometric DL 🔬 @iocbprague.bsky.social, prev. PhD @cusbg.bsky.social @mff.unikarlova.cuni.cz

Head of Data Science & Engineering at Talus Bio. I post about data science, BioML, AI drug discovery, Python, mass spec, proteomics, and silly things my kids do. I also blog sometimes: https://willfondrie.com/post

Machine learning and genetics @Genentech. Previously CS PhD @Stanford. suragnair.github.io

Machine learning researcher @ D. E. Shaw Research working on ML for quantum chemistry and drug discovery. Big fan of TTRPGs and bouldering.

Generative Antibody Design at Oxford | ovavourakis.github.io | 🇬🇧🇩🇪🇬🇷(🇪🇸) he/him

I develop mechanistic machine learning tools for single-cell and spatial omics data to understand the regulatory patterns underlying human disease dynamics. ai4biomedicine.org

Principal Machine Learning Scientist @PrescientDesign @Genentech @Roche | @NYUDataScience PhD | developing AI agents for scientific discovery in biotech

Principal Scientist @ Somite AI | Computational biology and biomedical data science | Boston, MA | https://mbernste.github.io

computational physicist, pretending to do bio/neuro stuff. Staff Scientist at @zuseinstitute.bsky.social Opinions expressed are solely my own. https://mohsensadeghi.github.io https://linkedin.com/in/drmohsensadeghi

Research Scientist in ML+Bio | Stanford Ph.D. | Google X

tOSU 2020 | WashU PhD Candidate with @alexholehouse👨🏼‍🔬 🖥 | @NSF Graduate Research Fellow | (he/him) | https://jlotthammer.github.io/

Bioinformatics PhD Candidate at University of Illinois Chicago | 3D genome folding | Human genetics https://hammadfarooq.github.io

CS at MIT | AI x bio research at Broad Institute

Bio/ML. Co-founder at EvoScale, worked on Pytorch and StarCraft back at meta. Most likely not skynet.

Computational Biologist at TU Dresden. Interested in how genomes encode their own stability.

✨Cerebellum✨, Neuroimaging, Brain Stimulation, ML & NLP Wellcome Early Career Fellow at University of Oxford 🇬🇧 Formerly Postdoc at Western University 🇨🇦 & University of Cambridge 🇬🇧 PhD at University of Oxford 🇬🇧 https://www.caroline-nettekoven.com

Internal medicine resident at Brigham and Women’s Hospital | Interested in ethics, priority setting, and global health | co-host of @biounethical.bsky.social: biounethical.com

Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement." https://people.eecs.berkeley.edu/~emmapierson/

ML for proteins PhD student at Caltech with Frances Arnold and Yisong Yue Prev: MSR intern, Berkeley alum https://www.francescazfl.com/

Assistant professor of chemistry at the Technical University of Denmark (DTU). Also at Jura Bio. machine learning, statistics, chemistry, biophysics https://eweinstein.github.io/

PhD Candidate at the Lucas Lab, UC Berkeley 🔬🧬 Machine learning for cryo-EM ❤️🎶🎤🎹💃📖🎥✈️🏎️ 🇱🇰 |📍🇺🇸 https://kithminiherath.github.io

AI for drug discovery at Isomorphic Labs. Prev: PhD @ UC Berkeley | 🇨🇦

Passionate about compbio | high performance computing | mathematics | digitalization | cell & gene therapy. Opinions are my own. GitHub: https://github.com/MaeWoods

Genomics, AI, sequence-to-function models, mechanisms of the cis-regulatory code. Investigator at the Stowers Institute.

Microbiome, drugs, phages, ecology, AI, the Bronx

Studying genomics, machine learning, and fruit. My code is like our genomes -- most of it is junk. Assistant Professor UMass Chan Previously IMP Vienna, Stanford Genetics, UW CSE.

Bacterial Immunity and Synthetic Biology enthusiast. Head of Lab at Institut Pasteur. Co-Founder of Eligo Bioscience.

Statistical mechanic working on generative models for biophysics and beyond. Assistant professor at Stanford. https://statmech.stanford.edu

Computational biology by day, SciArt by night. PhD student at Ewa Szczurek's lab @Helmholtz Munich. Antimicrobial peptides & generative AI (she/her).

PhD student in Computer Science at UBC | Exploring Machine Learning on Graphs https://www.hamedshirzad.com/

Applied mathematician developing computational imaging tools #CryoET #TeamTomo Postdoc in Scheres & Bharat labs @ MRC Laboratory of Molecular Biology, Cambridge btoader.com

Trying to teach machines (and myself) drug discovery at Valence Labs and Polaris. www.caswognum.nl 🇳🇱🇨🇦

Senior Applied Scientist @ MSR // AI, molecular dynamics, protein design, and some sillyness 🧬 (she/her)

Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com

Scientist, Medical AI Researcher, Humanist Founding Co-director of @UF_IC3 Center and director of @UFiHealLab #AI4Health Opinions my own. She/her.

Illumina AI Lab; Previously: Rhodes Scholar, PhD at Oxford; Princeton '19 | Interested in human genetics + computational biology

Assistant Professor leading the Computational Biomedicine Group at the University of Innsbruck • Data scientist at the Digital Science Center (DiSC) • Precision medicine and cancer immunotherapy • Mother 🧬🖥️ https://computationalbiomedicinegroup.github.io/

🏳️‍🌈 NVIDIA & Duke. Was Allianz, VantAI, TUM. BioCS+ML dude. Lab page: https://machine.learning.bio GScholar: https://scholar.google.com/citations?user=4q0fNGAAAAAJ

Assistant Prof. @UvA | amyloids, multiscale soft matter, computational peptide design, smart (adaptable) biomaterials, CompChem

comp chemist, structural biologist & mass spectrometrist 🏔️ hiker | 🧗🏻‍♀️climber | 🎨 artist | 🤘🏻alum @UTAustin @UCLA @CZI #chemoproteomics

Chief Scientist at @exai.bio — I use computational biology, machine learning and large-scale datasets to improve human health

Machine learning on proteins PhD student at University College London

Assistant Professor, University of Toronto. Junior Research Fellow, Trinity College, Cambridge. AI Fellow, Georgetown University. Probabilistic Machine Learning, AI Safety & AI Governance. Prev: Oxford, Yale, UC Berkeley, NYU. https://timrudner.com

Using #NeurosymbolicAI for challenges in #Biomedicine. PhD student at Uni Edinburgh🦄🏴󠁧󠁢󠁳󠁣󠁴󠁿 (she/hers) https://laurendelong21.github.io

Researcher at Google DeepMind. Previously Arnold group at Caltech. Making useful molecules!

CS PhD student @Brown | Biomedical AI | IR | NLP. Bio: https://tassabdul.github.io/

Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽

PhD student at UMD @piercelab

Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch

Senior Researcher at @LUMC_Leiden I @RENEW_Global | Genome Editing | Biochemistry | CRISPR-Cas

Ph.D. Student @ ELLIS Unit / University Linz Institute for Machine Learning

Biologist, technologist, husband, dad | 🧬🔬🐟| In situ spatial omics←super-resolution microscopy←single molecule biophysics | Staff Scientist @10x Genomics | prev. Wyss Institute @Harvard / Sysbio @HMS / Univ Tokyo | Views are my own

Postdoc @data science and AI division #compchem/Molecular Dynamics/Protein Simulation #GROMACS #AI4science #chemsky #compchemsky

Head of mRNA Platform Design Data Science @Sanofi. R&D in mRNA therapeutics using ML/DL. Formerly @ UTAustin, MIT, MSFTResearch, UW, & Calico. Latest work: gScholar (https://tinyurl.com/3xdfksy6)

Founding AI Scientist @ Graph Tx, Computational physicist turned biologist, interested in deep learning and single-cell technologies 🧬 👩‍💻 views are my own

AI/ML for early drug target discovery and precision medicine, with a focus on (epi-)genetics. Lead Scientist at Novo Nordisk, London.

Presidential Young Professor @ National University of Singapore. Stanford PhD, ex-Baidu Research Lead. Functional Genomics, Data Science, AI/ML. www.boxiangliulab.com

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/

Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io

Science, music, photography, computers, VR and more... Interested in biomolecular simulation, modelling, protein structure, drug design and AI.

CS PhD student @UW working on ML for nanopore protein sequencing

Stanford Primary Care + Clinical Informatics • Milken Scholar • Designer, Innovator, AI realist with health equity at heart. @Columbia @Yale @UnivofBuffalo. Opinions are my own. https://profiles.stanford.edu/julielee https://drjulielee.carrd.co

Computational Biologist @ MSKCC's ERIL

Computational Biology, ML, Microbiology, TB | Asst. Prof @ UMass Amherst CICS | Director, SAGE lab | Obsessed with weird microbes https://people.cs.umass.edu/~annagreen/ https://sage.cs.umass.edu/

Computer Simulations, Computational Intelligence, AI. Research professor and interim CEO acellera.com. Lab: www.compscience.org Scholar: https://scholar.google.com/citations?hl=en&user=-_kX4kMAAAAJ&view_op=list_works&sortby=pubdate

Research Scientist at Google DeepMind. Mostly work on ML, NLP, and BioML. Based in Seattle. http://ptshaw.com