Mark Zurbruegg

@lexinc.bsky.social

PhD Candidate @ UF Chemistry | clustering, comp chem, ML | 🫧 mdancing with the stars ✨ https://lexin-chen.github.io/

@al-murphy.bsky.social

Postdoctoral Research Scientist, Koo lab at Cold Spring Harbor Laboratory | Deep Learning for genomics

@artemmoskalev.bsky.social

Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/

@phil-fradkin.bsky.social

Born too late to explore the Earth Too early to explore the Galaxy Just in time to model the cell and climb some rocks PhD @ UofT and Vector Institute

@evigkeka.bsky.social

Molecular modeler @Sanofi, #AppliedMathematics, #MolecularSimulations and #DrugDesign. Tango dancer and world traveler.

@joanampereira.bsky.social

Biochemist turned computational biologist and inner astronaut navigating the vastness of the protein universe using 💻. Group leader at @vibai.bsky.social and kuleuvenuniversity.bsky.social🇧🇪 Previously in🇨🇭🇩🇪🇵🇹 🌌 https://pereiralab.sites.vib.be

@sargoshoe.bsky.social

National lab scientist studying cancer drug resistance through machine learning techniques centered around integration of mass spec (e.g. #proteomics technologies). Recreational skier/climber exploring the Pacific Northwest. Views my own.⛷️🧗🏼👩🏼‍🔬

@ninjani.bsky.social

Computational biologist @biozentrum.bsky.social. Likes protein structures. https://ninjani.github.io/

@mccullylab.bsky.social

The McCully Lab at Santa Clara University studies the structure, dynamics, and function of proteins towards designing better ones. sites.google.com/site/mccullylabscu BS WashU | PhD UW | Postdoc UCSF | Assoc prof SCU Acamama, PUI, family biking, Bay Area

@ewaldlab.org

Computational biologist using omics data (imaging, gene expression) to investigate the impacts of environmental contaminants on biological systems Postdoc @Broad, incoming Group Leader @EMBL-EBI

@amyweeks.bsky.social

Asst Prof @ UW-Madison Biochemistry. Protein Engineering, Chemical Biology, Proteomics, Proteases, Enzymology.

@gottapatchemall.bsky.social

ML & protein engineering at http://science.xyz | into papers, pens, plots, puppies, proteins algorithmic.ink https://x.com/gottapatchemall

@jonling.bsky.social

Assistant Professor @HopkinsMedicine @JHUPath https://scholar.google.com/citations?user=dGBD72YAAAAJ

@lucapinello.bsky.social

Computational methods for epigenetic, CRISPR genome editing and single-cell genomics. Associate Professor at MGH / Harvard Medical School. http://pinellolab.org

@alexijie.bsky.social

Senior Researcher at Microsoft Research New England. ML/AI for biological discovery: microscopy, proteins, single-cell.

@workshopmlsb.bsky.social

Machine Learning in Structural Biology workshop at NeurIPS 2024. Dec 15, mtg rooms 11-12 http://mlsb.io

@pascalnotin.bsky.social

Research in AI for Protein Design @Harvard | Prev. CS PhD @UniofOxford, Digital & Analytics @McKinsey, Maths & Physics @Polytechnique

@ashleyjhsu.bsky.social

BME & CS @Duke | Protein Designer @ColumbiaMed

@ncorley.bsky.social

PhD Candidate @ the University of Washington's Institute for Protein Design | Baker Lab | Machine Learning for Protein Design | Enzymes

@gcorso.bsky.social

PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery

@ian-dunn.bsky.social

PhD Candidate in Computational Biology @ University of Pittsburgh. Working on deep generative models for molecular structure. iandunn.io

@stolzbernadette.bsky.social

Mathematician studying topology in biomedical data | Project leader of the Topological Learning in the Life Sciences group, Max Planck Institute of Biochemistry | Previously at EPFL & Oxford Maths | 2022 L’Oréal-Unesco #ForWomenInScience Fellow

@hnisonoff.bsky.social

PhD student at UC Berkeley Machine Learning for Protein Engineering

@jasonrkelly.bsky.social

co-founder and CEO at Ginkgo Bioworks Former Chair of National Security Commission on Emerging Biotechnology

@harrisbio.bsky.social

PhD @ Cambridge in AI for Bio | Interested in generative modelling for drug discovery and science policy 🇬🇧 Website: cch1999.github.io Blog: harrisbio.substack.com Database: harrisbio.notion.site

@simonmathis.bsky.social

PhD student at Uni of Cambridge, UK 🔬 | AI for protein design & engineering 🧬 | biotech & environmental applications 🌱 | enzymes 🏗️ 🇦🇹🇨🇭

@thomvett.bsky.social

ML for cancer diagnostics @HederaDx, @EPFL alumni - Tweets about tech + bio / food + tech

@chatgtp.bsky.social

Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. EPFL alumnus.

@rspreafico.bsky.social

AI for Antibodies. Views my own.

@preethamv.bsky.social

Graduate student at Baker Lab, University of Washington | Protein design | Machine Learning

@ldornfeld.bsky.social

PhD student in Milles Lab | Passionate about structural bioinformatics | 🥼&💻 | Formerly with Sereina Riniker (MD), Noelia Ferruz (ML), Bruno Correia (Protein Design) & Kai Johnsson (Protein Engineering) Webpage: https://ldornfeld.github.io/

@binshaophy.bsky.social

Broadie. deep learning; synthetic biology; single cell genomics; non-linear dynamics. opinions are my own. Latest work: https://www.biorxiv.org/content/10.1101/2024.12.30.630741v2

@nlarusstone.bsky.social

Building better software for scientists @sphinx_bio

@noeliaferruz.bsky.social

Generative models for protein design. Group leader at CRG

@kamile.st

Machine Learning PhD student at Cambridge University, visiting Cornell. Previously at Oxford and Google. Principled ML & applications in medicine.

@kyunghyuncho.bsky.social

a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor. see more at https://kyunghyuncho.me/

@sim0nsays.bsky.social

Researcher at MIT, generative AI for protein design

@bpdmc.bsky.social

We are a global community of computational protein engineers and modelers from both academia and industry. An @omsf.io project organized by @cdbahl.bsky.social, @sokrypton.org, and @nickpolizzi.bsky.social https://bpdmc.org

@jeffruffolo.bsky.social

Protein Design / ML @ Profluent Bio | Molecular Biophysics PhD @ Johns Hopkins

@qimmuno.bsky.social

Quantitative immunology lab (PI: Andreas Tiffeau-Mayer) https://qimmuno.com/ We use ideas from the physics of living systems and machine learning to understand human adaptive immunity in health and disease.

@lukaskln.bsky.social

🦠🧬💻 AI in Life Sciences / PhD @ETH Zürich / German Cancer Research Center

@cdsnow.bsky.social

Professor at Colorado State University. Previously MIT Chemistry (Tidor), Stanford Biophysics (Pande), Caltech Chemistry and Chemical Engineering (Arnold). Interests: Protein Engineering, Computational Protein Design, ML, Biomolecular Crystals

@nfusi.bsky.social

Partner Research Manager at Microsoft Research. AI and AI+bio. My opinions are mine etc.

@artsmarloes.bsky.social

Scientist in discovery data science at Genmab. Previously postdoc at KU_BioML and intern at MSFTResearch. Interested in everything ML and proteins.

@lcrawford.bsky.social

Principal Researcher in BioML at Microsoft Research.

@rommieamaro.bsky.social

Professor at UC San Diego. Computational biophysics, biology, chemistry. Multiscale modeler. Viruses. Cancer. Co-Director of the Airborne Institute.

@parthbibekar.bsky.social

PhD Candidate | EPFL Structural bioinformatics https://parthbibekar.github.io

@itsmanishgoel.bsky.social

Genomics, bioinformatics, and some more

@kasparmartens.bsky.social

AI/ML research scientist @ Novo Nordisk, interested in ML for biology and health. Previously: University of Oxford | The Alan Turing Institute | Apple. https://kaspar.website/

@guillemsimeon.bsky.social

(He/him) Physicist. Machine learning and atoms @ Microsoft Quantum. 🏳️‍🌈