Computer Science PhD Student @ AIMM Lab, EPFL
Mathematics MSc @ETH
Medical Doctor | Clinical Artificial Intelligence | Professor of Medicine and Computer Science at TU Dresden, Germany | X: jnkath | web: www.kather.ai
Editor in Chief of Nature, geneticist, editor, accidental potter. All views my own
Technology Editor at Nature magazine (@nature.com) #rstats #scicomm. Love is love. 💕
Nature Reviews Methods Primers publishes Primers - introductory reviews on methods and techniques across the life and physical sciences. https://www.nature.com/nrmp/
Bluesky account for the journal Nature Reviews Immunology https://www.nature.com/nri/ Skyquakes from the editors.
Editorial team of Nature Reviews Drug Discovery
www.nature.com/nrd
Nature Reviews Cancer is a monthly review journal for researchers working on cancer. We, the editors, highlight the most exciting topics in cancer research.
https://www.nature.com/nrc/
An online-only journal from @natureportfolio.bsky.social publishing high-quality Reviews, Perspectives and Comments across all areas of bioengineering
https://www.nature.com/natrevbioeng/
A scientific journal publishing cutting-edge methods, tools, analyses, resources, reviews, news and commentary, supporting life sciences research. Posts by the editors.
A Nature Research journal on AI, robotics and machine learning
@natureportfolio.bsky.social
nature.com/natmachintell
Publishing reviews and commentaries across the fields of genetics and genomics. Part of Springer Nature and Nature Portfolio.
https://www.nature.com/nrg/
Nature Genetics is a monthly journal publishing high impact research in genetics and genomics. Part of @natureportfolio.bsky.social
Repost/like=interesting/relevant, not necessarily endorsement.
A Reviews journal from SpringerNature. Timely Review articles, Comments and Highlights of the latest research in molecular cell biology. https://www.nature.com/nrm/
Publishing the latest advances across all areas of cancer research and oncology. Part of @natureportfolio.nature.com
🌐 www.nature.com/natcancer/
📍New York, London, Berlin and Heidelberg
Cell Press partners with scientists across all disciplines to publish and share work that will inspire future directions in research. #ScienceThatInspires
Genomics, LLMs, spatial cancer evo | Group leader @DanaFarber @Harvard | Head of Data Science at Hale Center for Pancreatic Cancer | PhD @eth
Core Investigator @ Arc Institute | Associate Professor @ UCSF | {Computational, Systems, Cancer, RNA} biologist | Co-founder @exaibio @vevo_ai
Mapping how chemistry perturbs biology to build a virtual model of the human cell.
www.tahoebio.ai
Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni
Group leader @schapirolab.bsky.social at the Heidelberg University Hospital focusing on #HighlyMultiplexedImaging and #spatialomics #spatialbiology technologies and analysis. President of the European Society for Spatial Biology e.V. (ESSB)
Senior Editor @ Nature Reviews Molecular Cell Biology. Likes cell biology, loves cats. PhD 👩🏻🎓@MRC-LMB, @Cambridge_Uni. Based in Berlin, views are mine 😎
Research Lead at @valenceai.bsky.social, Adjunct prof at @UMontreal and @Mila_quebec, interested in AI, deep learning, drug discovery, graphs, geometry, biology, chemistry, physics, philosophy, and the origin of life 🧠🦠
Aims to become a crazy scientist 👨🔬
Industrializing scientific discovery to radically improve lives.
Powered by @recursionpharma.bsky.social
Product @valenceai.bsky.social
Clinician-scientist / precision medicine / cancer immunology / bioinformatics / MD, PhD
@Netherlands Cancer Institute / ESMO precision medicine working group
Trying to have fun discovering stuff to help patients.
Opinions are my own.
Prof of Computer Science and Life Sciences @ EPFL Previously @ Stanford
ML🤖+Bio🧬 https://brbiclab.epfl.ch/
I develop mechanistic machine learning tools for single-cell and spatial omics data to understand the regulatory patterns underlying human disease dynamics.
ai4biomedicine.org
AIxBio Research Scientist 👩🔬 | PhD Computational Biology 👩💻 | BSc Biomedicine 🧫 | "Singlecellologist" 🦠 into biologically meaningful representation learning 🧬 | Decoding life in London 🇬🇧
Publishing the best of biotech science and business. Find us on Twitter, Facebook & Instagram. Part of @natureportfolio.nature.com.
Explore groundbreaking news and research from PNAS, one of the world's most-cited scientific journals. Discover its sibling journal, @pnasnexus.org, both official research journals of the U.S. National Academy of Sciences. Visit www.pnas.org for more info.
Cutting-edge research, news, commentary, and visuals from the Science family of journals. https://www.science.org
A journal dedicated to publishing the latest advances across all areas of cell biology. Part of @natureportfolio.nature.com
nature.com/ncb/index.html
At Microsoft Research. Lead of https://aka.ms/game-intelligence - we drive innovation in machine learning with applications in games. https://iclr.cc Board.
Computational Cancer Biology azizilab.com
Irving Associate Professor @Columbia
#compbio #ml #genomics #singlecell #cancerimmunology
Postdoctoral Researcher @harvardmed @BrighamWomens | Prev @EPFL @ETH @IBMResearch
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
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/
AI for drug discovery at Isomorphic Labs. Prev: PhD @ UC Berkeley | 🇨🇦
Bio/ML. Co-founder at EvoScale, worked on Pytorch and StarCraft back at meta. Most likely not skynet.
A Genentech Accelerator
gene.com/prescient
https://scholar.google.com/citations?user=HVfvEVoAAAAJ
Chief Scientific Officer of Microsoft.
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF.
https://irenechen.net/
computation biology, drug discovery, computer vision, microscopy, statistics, machine learning, all happening at https://carpenter-singh-lab.broadinstitute.org/
ML for biology / healthcare at MSR.
Founder & CEO @jura.bsky.social | Full-stack probabilistic machine learning for the development of genetic medicines | NYC & Basel & Boston
Scientist, Assistant Professor at MIT biology, #FirstGen
Professor of Chemistry and Computer Science
University of Toronto
Faculty member, Vector Institute
Director, Acceleration Consortium
Senior Director of Quantum Chemistry NVIDIA
My views expressed here are personal and are not those of my employers.
machine learning and functional/statistical genetics. Associate Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
Principal Researcher in BioML at Microsoft Research.
co-founder and CEO at Ginkgo Bioworks
Former Chair of National Security Commission on Emerging Biotechnology
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/
Researcher at Google DeepMind. Previously Arnold group at Caltech. Making useful molecules!
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/
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
Director of Imaging AI & Sr. Group Leader @czbiohub SF. Researcher at the meeting point of #AI, #Microscopy, and #Biology using #zebrafish as model — co-creator of @napari_imaging and #Omega. #devbio #zebrahub #deeplearning #lightsheet #Imaging #dataviz
Boeing Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/
biology 🧬, microscopes 🔬, and computers 🖥️. Preferably all at once.
Assistant Professor at the Biomedical Data Science Center at University of Lausanne (UNIL) and Lausanne University Hospital (CHUV). AI/ML for single-cell and spatial biology with a focus on oncology.
@Stanford Professor. AI for science and medicine.
Genome scientist becoming engineer. Immunologist. Geneticist. Dabbles in statistics and statistical learning. Home @UCSF, affiliated with Arc and PICI.
Biomedical Data Science Center Director @CHUV. Professor at @UNIL and @EPFL. AI, ML, and statistical learning for high-dimensional (single-cell/spatial) data in clinical and translational medicine. Interdisciplinary scientist passionate about data.
Assistant professor, passionate about personalized cancer vaccines, immunopeptidomics and antigen discovery
PhD student at ETH Zurich
jonhue.github.io
EPFL Professor, Co-Director EPFL AI Center, digital epidemiologist, CH++
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
Assistant Professor in Bioimaging and Data Analysis and Director of the BioVisionCenter at UZH; Research Group Leader at EMBL-EBI. Loves image analysis, mountains, and birds.
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
AI for biology | Stanford and Arc Institute
MLing biomolecules en route to structural systems biology. Asst Prof of Systems Biology @Columbia. Prev. @Harvard SysBio; @Stanford Genetics, Stats.
machine learning researcher @ Apple machine learning research
Decoding biology to radically improve lives. The industrial revolution of drug discovery is here. Learn more at recursion.com #techbio
The European Molecular Biology Laboratory drives visionary basic research and technology development in the life sciences. www.embl.org
Interim Director General EMBL. I have an insatiable love of biology. Consultant to ONT and Cantata (Dovetail)
Computational Biology and Statistics
Spatial Omics, Precision Oncology
R, Bioconductor, Open Science
https://www.huber.embl.de
Textbook: Modern Statistics for Modern Biology
https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
Nature Portfolio’s high-quality products and services across the life, physical, chemical and applied sciences is dedicated to serving the scientific community.
As a hub for artificial intelligence, the EPFL AI Center leverages the extensive expertise of faculty and researchers across the Institution. It fosters a collaborative environment that nurtures multidisciplinary AI research, education, and innovation.
physician-scientist, author, editor
https://www.scripps.edu/faculty/topol/
Ground Truths https://erictopol.substack.com
SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
International Conference on Learning Representations https://iclr.cc/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Assistant Professor at EPFL, ML/AI-accelerated Chemistry & Synthesis | Educating the next generation of chemists and leading a fantastic team (https://schwallergroup.github.io) | Previously IBM Research / Uni Bern / Uni Cambridge / EPFL | he/his
Assistant Professor at ETH Zürich
Interactive Visualization and Intelligence Augmentation Lab
🦠🧬💻 AI in Life Sciences / PostDoc at EPFL / ETH Zürich PhD
I love large biomedical data.
Senior Researcher at Microsoft Research New England. ML/AI for biological discovery: microscopy, proteins, single-cell.
MD. PhD. Assistant Professor @ETH Zurich. Previously @Stanford CS.
Director of the Swiss Institute of Experimental Cancer Research- ISREC@EPFL, Associate Professor, in love with science and experiments
