Postdoctoral researcher at @anshulkundaje.bsky.social Machine learning #ML, gene regulatory networks #GRN, single cell and spatial #omics.
Previously at @saezlab.bsky.social
Core developer of https://decoupler.readthedocs.io/ at @scverse.bsky.social
Assistant Professor @StanfordBioethx #sociogenomics #adversarialcollab; @Cambridge_Uni PhD; Retired @CUBCsquad President; 🐈 Mom to #Sassy; Yogi in training
daphnemartschenko.com
Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter
Physician scientist and oncologist at Stanford. Phenotypic drug discovery for cancer. https://corsellolab.stanford.edu/
A new scientific institution for curiosity-driven biomedical science and technology.
Mapping how chemistry perturbs biology to build a virtual model of the human cell.
www.tahoebio.ai
Official Bluesky account of the Bendall Lab in the Stanford Department of Pathology and Immunology / Cancer Biology / Stem Cell research and training programs.
Tumor Immunologist. Assistant Prof at Stanford. Metastasis. Lymphocytes. Tolerance. Immunotherapy. Evolution. www.retickerflynnlab.com
Automatically tweets new posts from http://statmodeling.stat.columbia.edu
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Assistant Professor @ Stanford
Genetic & cancer epidemiology
Views my own 🇺🇦🇽🇰🇨🇦
Staff scientist in the Gentles group at Stanford Pathology
Computing all things single-cell | Postdoc at Genentech @MarioniLab | Steering council at scverse.org
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Understand complex biology through agentic AI.
Learn more at owkin.com
Group of Adrien Hallou @kiroxford.bsky.social @ox.ac.uk
Biophysics & spatial biology of cell fate decisions & tissue dynamics
Alumnus @cam.ac.uk & @normalesup.bsky.social
Franco-British Young Leader 2024 🇨🇵🇬🇧
We're the Crick, a biomedical research lab in London working to figure out how life works.
Home to more than 2,000 scientists and a free public exhibition space.
https://www.crick.ac.uk/
We are doing application and collaboration driven development of interpretable and statistically sound machine learning methods for understanding disease heterogeneity
Reactome is an open source curated pathway database that provides pathway and network analysis tools for life science researchers.
professor of biostatistics at brown, professional skeptic, lover of cats and Star Trek
