@xinmingtu.bsky.social
PhD student @uwcse; ML&CompGenomics&GeneRegulation; Bio&CS undergrad @PKU1898; Intern@Yale, Microsoft Research Asia, Genentech
@wbickmor.bsky.social
Scientist at University of Edinburgh. Director of MRC Human Genetics Unit but posting in my own capacity.
@amarderstein.bsky.social
Human geneticist studying cancer at MSK. Prev. postdoc at Stanford and BS + PhD at Cornell. avid skier, runner, and Yankee fan.
@javiermenrev.bsky.social
Interested in AI in Genomics - Computational Geneticist @InstaDeep
@jianma.bsky.social
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
@c0nc0rdance.bsky.social
Molecular biologist from Texas, here to share my meanderings on nature, science, history, politics, and zombies. Long threads a specialty.
@eirikhoye.bsky.social
Postdoctoral researcher, NCMM Oslo | TCR-seq, microRNAs, transcription factor binding sites, CRISPRi, colorectal cancer, immunotherapy, computational biology and bioinformatics.
@atanas-g-atanasov.bsky.social
Innovations in Molecular Medicine and Public Health. PI of LBI-DHPS. Prof of IGAB-PAS. Editor-in-Chief #CRBIOTECH and #ExplorDHT. Leader of #DHPSP and #INPST 🔗Web: https://digitalpatientsafety.com/atanas-g-atanasov/
@carolynbertozzi.bskyverified.social
Baker Family Director, Sarafan ChEM-H, Stanford University and HHMI; EIC of ACS Cent Sci; All views and opinions expressed are my own.
@al-murphy.bsky.social
Postdoctoral Research Scientist, Koo lab at Cold Spring Harbor Laboratory | Deep Learning for genomics
@impvienna.bsky.social
The IMP is a leading life science centre in Europe with 220 researchers from 40 countries. Part of the ViennaBioCenter.
@andreamariani.bsky.social
PhD Student in Systems Medicine | Comp Bio | Genomics and seq2function models | Biology is stochastic
@jmschreiber91.bsky.social
Studying genomics, machine learning, and fruit. My code is like our genomes -- most of it is junk. Guest Scientist IMP Vienna, Board of Directors NumFOCUS Incoming Prof UMass Chan Medical Previously Stanford Genetics, UW CSE.
@lxsasse.bsky.social
Learning from algorithms that learn from data about gene regulation.
@luisagroher.bsky.social
Building ML systems at startups | Previously: economic development in MENA/LatAm | MA thesis on counternarcotics→counterterror evolution | Analyzing causality, geopolitics & tech
@casblaauw.bsky.social
(machine) learning to turn one genome into a hundred tissues | bioinfo phd 🧬🖥️ in Leuven (Aerts lab @ vib.ai 🇧🇪) & Utrecht (AvO lab @ hubrecht.eu 🇳🇱) also sometimes urbanism & transport | prev 🇳🇱, 🇭🇰, 🇩🇰 | he/him | ook in het nederlands
@triggerloop.bsky.social
Professor, Department of Biological Sciences, University of Pittsburgh. RNA polymerase II mechanism, classic films, #classiccountdown once in awhile
@maewoods.bsky.social
Passionate about compbio | high performance computing | mathematics | digitalization | cell & gene therapy. Opinions are my own. GitHub: https://github.com/MaeWoods
@tienchihuang.bsky.social
Interested in chromatin dynamics during mammalian development
@karollus.bsky.social
@manusaraswat.bsky.social
PhD candidate in ML for genomics in Heidelberg, Germany with Oli Stegle Previously at Genentech, UBC and BITS Pilani https://scholar.google.com/citations?user=4yUtALcAAAAJ&hl=en&oi=ao
@jhepkema.bsky.social
PhD student at Sanger Institute in Parts & Stegle labs. Interested in anything related to gene regulation! https://jacobhepkema.github.io
@valehamiri.bsky.social
PhD student Genetics+CS @Stanford w/ @anshulkundaje.bsky.social | Prev CS @telecomparis @Columbia @Microsoft | I'm interested in using AI/ML to model biological systems 👩🏻💻🧬☕ | valehamiri.com
@selinjessa.bsky.social
(she/her) Computational biologist and post-doc scientist in the Greenleaf and Kundaje labs at Stanford. Interested in understanding how cells know what to become (transcription factors, gene regulation, dev bio, open science) www.selinjessa.com
@nmancuso.bsky.social
Associate Professor at USC. Genetics/Stats/ML. Husband and father. GA➡️CA. He/him. Views are mine. www.mancusolab.com
@pacbio.bsky.social
Our mission is to enable the promise of genomics to better human health by creating the world’s most advanced sequencing technologies.
@enirenberg.bsky.social
Views my own, but you can borrow them if you feel so inclined. Anti-disease. Big Nerd Energy. “A homework person.” Fun at parties. Antibody hoarder. “Problematically literate.” he/him
@muntakimrafi.bsky.social
PhD candidate @SBME_UBC | Machine Learning | Gene regulation
@davidaknowles.bsky.social
machine learning and functional/statistical genetics. Assistant Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
@jjfroehlich.bsky.social
Postdoc // gene regulation, genomics, synbio, stem cells, c. elegans // with @eddaschulz @molgen.mpg.de previously @n_rajewsky @mdc-bimsb //
@akispapantonis.bsky.social
Biologist by training, basketball player at heart Professor for Translational Epigenetics & Genome Architecture, University Medical Center Goettingen, Germany. www.papantonislab.eu
@saramostafavi.bsky.social
VP, Genentech Associate Professor at the Allen School of Computer Science and Engineering, University of Washington (on leave)
@bernardo-almeida.bsky.social
Senior research scientist at InstaDeep, interested in building computational models that can read the human genome and interpret it's variation
@delalamo.xyz
Protein engineering & synthetic biochemistry at GSK Opinions my own https://linktr.ee/ddelalamo
@vagar.bsky.social
Head of mRNA Platform Design Data Science @Sanofi (https://www.linkedin.com/in/vagarwal87). R&D in mRNA therapeutics using ML/DL. Formerly @ UTAustin, MIT, MSFTResearch, UW, & Calico. Latest work: gScholar (https://tinyurl.com/3xdfksy6)
@amathelier.bsky.social
Computational biologist interested in gene expression regulation. Associate Director and Group Leader at Norwegian Centre for Molecular Biosciences and Medicine, University of Oslo, Nordic EMBL Partnership for Molecular Medicine. https://mathelierlab.com
@axelvisel.bsky.social
Genome Scientist. Studies how DNA makes humans, mice, plants, microbes. At Lawrence Berkeley National Lab and Joint Genome Institute. Views are my own.
@kipoizoo.bsky.social
The monthly virtual seminar series is designed as a platform for interested Kipoi users and developers and will host talks on the applications of deep learning on biological data. Agenda and registration at https://kipoi.org/seminar/