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@Zymrael
Michael Poli Zymrael
Numerics, model architecture, scaling Co-founder @RadicalNumerics

Stanford University

@deepseek-ai
DeepSeek deepseek-ai
@duerrsimon
Simon Duerr duerrsimon
Protein Design and Open Science

Lausanne

@sib-swiss
SIB Swiss Institute of Bioinformatics sib-swiss

Switzerland

@griffithlab
The Griffith Lab griffithlab
Academic Lab of Obi and Malachi Griffith

United States of America

@dvgodoy
Daniel Voigt Godoy dvgodoy
Data scientist, developer, teacher and writer. Author of "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide".

Portugal

@ML4GLand
Machine Learning for Genomics ML4GLand
A collection of tools for investigating how DNA encodes function with machine learning
@broadinstitute
Broad Institute broadinstitute
Broad Institute of MIT and Harvard

Cambridge, MA

@EBISPOT
EBISPOT
EMBL-EBI Samples, Phenotypes, and Ontologies Team
@mingrammer
MinJae Kwon mingrammer
Looking for something fun

@daangn South Korea

@JoshuaChou2018
Juexiao Zhou JoshuaChou2018
Tenure-track Assistant Professor @ The Chinese University of Hong Kong, Shenzhen
@AspirinCode
Jianmin Wang AspirinCode
Drug Design , Linux enthusiast , Medicinal_Chemistry_&_ Synthesis , Chemoinformatics , Data Science, Python and C/C++ programmer，Bioinformatics，Deep Learning，AI

Yonsei University 中国(China)

@ncbi
NCBI - National Center for Biotechnology Information/NLM/NIH ncbi
@Visualize-ML
Iris Series 鸢尾花书 Visualize-ML
Iris Series: Math Made Easy and Visual. Code, See, Learn. Visualize math using Python. ~8,000 vector graphics. Cover Topics from arithmetic to machine learning.
@harrelfe
Frank Harrell harrelfe

Vanderbilt University Nashville TN

@rfordatascience
Data Science Learning Community rfordatascience
The Data Science Learning Community is a diverse, friendly, and inclusive community of data science learners and practitioners.
@nrennie
Nicola Rennie nrennie
Data visualisation specialist. Generative artist. Runner of endurance races. Neat freak. She/her.

Office for National Statistics Edinburgh, United Kingdom

@coatless
James J Balamuta coatless
omnipresent explorer of the unknown, fashionably caffeinated informatics phd, amorous cavalier. design, build, analyze. #rstats #python @tmsalab

United States

@BlinkDL
PENG Bo BlinkDL
RWKV is all you need
@glouppe
Gilles Louppe glouppe
{"Researcher", "Teacher", "Coder"} #ai #ai4science #deeplearning #bayesian

ULiège Belgium

@lh3
Heng Li lh3

DFCI & Harvard University Boston, MA, USA

@gcalmettes
Guillaume Calmettes gcalmettes
AI Inference team @scaleway

@Scaleway Bordeaux

@OpenIntroStat
OpenIntro OpenIntroStat
The mission of OpenIntro is to make educational products that are free, transparent, and lower barriers to education.
@bioboot
Barry Grant bioboot
Faculty at UC San Diego

UC San Diego La Jolla

@Harvard-IACS
Harvard-IACS
@mine-cetinkaya-rundel
Mine Cetinkaya-Rundel mine-cetinkaya-rundel
Professor at Duke University + Developer Educator at Posit PBC

Duke University, @posit-pbc Durham, NC

@awslabs
Amazon Web Services - Labs awslabs
AWS Labs

Seattle, WA

@jarad
Jarad Niemi jarad
I'm a Professor of Statistics at Iowa State University.

Iowa State University Ames, IA

@fchollet
François Chollet fchollet
@PacktPublishing
Packt PacktPublishing
Providing books, eBooks, video tutorials, and articles for IT developers, administrators, and users.

Birmingham, UK

@OmicsML
OmicsML OmicsML
LLMs & Generative AI for omics data analysis (non-profit organization))

United States of America

@mdozmorov
Mikhail Dozmorov mdozmorov
Bioinformatician, interested in 3D genomics, cancer, statistics, programming, machine and deep learning
@scverse
scverse scverse
Foundational tools for omics data in the life sciences
@rstudio-conf-2022
rstudio::conf(2022) rstudio-conf-2022
Workshops at rstudio::conf 2022

United States of America

@hbctraining
Teaching materials at the Harvard Chan Bioinformatics Core hbctraining

Boston, MA

@topepo
Max Kuhn topepo
@shenweichen
浅梦 shenweichen

@ByteDance Hangzhou, Zhejiang, China

@top-think
ThinkPHP top-think
ThinkPHP官方团队

china

@dynverse
dynverse: benchmarking, constructing and interpreting single-cell trajectories dynverse
The dynverse is an open set of packages to benchmark, construct and interpret single-cell trajectories. See https://dynverse.org for an overview

The dynverse

@coolbutuseless
mikefc coolbutuseless
Cool, but useless.

Earth

@XiangyunHuang
Xiangyun Huang XiangyunHuang
Do one thing and do it well.

Beijing, China

@carmonalab
Cancer Systems Immunology Lab carmonalab
Single-cell omics data science at the Department of Pathology of Immunology of the University of Geneva

Switzerland

@d2l-ai
Dive into Deep Learning (D2L.ai) d2l-ai
@daviddao
David Dao daviddao
Chief Scientist @GainForest @evalscience

@GainForest @evalscience onchain

@daiquocnguyen
Dai Quoc Nguyen daiquocnguyen
NLP - LLMs - Graph Neural Networks

Oracle Australia

@ucdavis-bioinformatics-training
UC Davis Bioinformatics Core Training Page ucdavis-bioinformatics-training
Training course repository [Click on the URL to go to our main training page]

Davis, CA

@kheyer
Karl kheyer
Interested in anything related to deep learning, biotech, energy, materials

Bay Area

@harryprince
HarryZhu harryprince
playing DGL recently.

Mobike Jilin University of Finance and Economics

@awesomedata
AwesomeData awesomedata
@yihui
Yihui Xie yihui
Freelancer (open source programmer, contractor, blogger, and writer)

@rstudio @swissre @merck Omaha, NE