Science, nature photos, mental-health advocate, and star trek 🖖 Bioinformatics | ML | PhD Candidate @ OHSU studying synaptic connectivity. myOwnOpinions=True

Associate Professor DFCI & HMS

Genomics, big data, open science, diversity. Director of the Centre for Population Genomics, focused on building a more equitable future for genomic medicine. Opinions my own.

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.

R advocate #rstats | PhD @CHUVLausanne @unil | Immunology, Immunotherapy, Single-Cell RNAseq, Spatial Transcriptomics, Statistics and Machine Learning. 📷⛸️🏔️

I treat every #singleCell gently. | PhD in Comp Bio at CHUV, Lausanne #OpenScience #SpatialTranscriptomics

Statistician,Mother,Prof,Grandmother(she/her)🇫🇷🇵🇹🇺🇸🧪. 🖋️with @wkhuber.bsky.social:Modern Statistics for Modern Biology (https://www.huber.embl.de/msmb/) #stats,#rstats.OSS,arXiv, microbial ecology,cytof,multi-omics,Bioconductor:phyloseq, DADA2

Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.

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)

Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter

Inter-dimensional cancer biologist. Director of the @genomescience.bsky.social at @umbaltimore.bsky.social.

Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/

Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai He/him/his

Associate Professor of CS @ University of Maryland. Proud Rust advocate! I ♥ science & compiled, statically-typed programming languages! Views are my own. Tech stack: https://github.com/rob-p/tech-stack.

Executive panhandler, trichelab.vai.org Posts may contain trace quantities of blood🩸, chromatin 🧬 & stats 🧮 https://scholar.google.com/citations?user=AOoIO74AAAAJ Views expressed are my own (but for the right price they can be yours!)

Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.

Bioinformatics and Computational Biology. Australia

Applied statistician. I tweet data-driven observations, data science educational materials, academic research updates, and the occasional joke.

Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc

Professor of Computer Science @ JHU. https://www.langmead-lab.org/ https://www.youtube.com/BenLangmead

https://www.camlab.ca | ML for cancer genomics + single-cell and spatial computational methods | Toronto Canada 🖥️🧬

Professor of Computational and Systems Immunology @UniOslo. Cofounder & Director of Computational Immunology @imprintlabs.bsky.social

Computational biologist, associate professor at University of Geneva, Department of Pathology and Immunology. Single-cell omics, bio data science, immunology & cancer research

Professor @ JHU, statistical genomics, www.hansenlab.org

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/

Associate prof comp biologist @JHUBME. Founder @cuSTEMized. Editor @PLOSCompBiol. Alum @HarvardDBMI @blairmagnet. Doing art like a science, science like an art.

Chief Data Scientist U of CA Health・Director, Bakar Computational Health Sci Institute・Distinguished Prof af UCSF・Entrepreneur・He/him・Opinions ⇨ my own

Systems immunologist at Yale, @yalecsei.bsky.social‬, @czbiohub.bsky.social‬ Me: https://medicine.yale.edu/profile/john-tsang/ Lab: https://www.tsanglab.org Center: https://medicine.yale.edu/systems-engineering-immunology/

Professor at #EPFL - #RNAVelocity inventor - Laboratory of Brain Development and Biological Data Science. Single-cell and spatial biologist studying brain development and lipids. #ERCStg investigator

Assistant Professor of Biostatistics, Boston University. Statistical genomics, genomic data science, open science, R programming https://lmweber.org/

Immunologist @MonashUni, Head of Dept Microbiology, Past President of @ASImmunology; Trying to work out how immunity works, in particular T cells #Tcellsarecool #immunosky

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.

Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social

Chief Scientist at @exai.bio — I use computational biology, machine learning and large-scale datasets to improve human health

Bioinformatician, Department of Biomedicine @ Uni Basel & Swiss Institute of Bioinformatics Interested in bulk and single-cell omics, data analysis, experimental design, data visualization, R/Bioc, open science, EDI, etc 🧬 🖥️

Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)

Genome scientist becoming engineer. Immunologist. Geneticist. Dabbles in statistics and statistical learning. Home @UCSF, affiliated with Arc and PICI.

Striving to provide better evidence to improve health globally! Professor, Departments of Biostatistics, Computational Medicine and Human Genetics, UCLA

Associate Professor and Research Dean at UVA School of Data Science, #Rstats enthusiast, dad, runner, guitar noise-maker. Views my own. Web: https://datascience.virginia.edu/people/stephen-turner Newsletter: https://blog.stephenturner.us

Director of bioinformatics at AstraZeneca. subscribe to my youtube channel @chatomics. On my way to helping 1 million people learn bioinformatics. Educator, Biotech, single cell. Also talks about leadership. tommytang.bio.link

Account of the Saez-Rodriguez lab at EMBL-EBI and Heidelberg University. We integrate #omics data with mechanistic molecular knowledge into #opensource #ML methods Website: https://saezlab.org/ GitHub: https://github.com/saezlab/

Professor in Systems Biology & Genetics @EPFL, opinions my own; Single Cell Omics / Gene Regulation / Transcription Factor / Stem Cells / Regulatory Variation / ML / Imaging / Adipose Biology / Microfluidics https://www.epfl.ch/labs/deplanckelab

statistical bioinformatics; canadian / swiss; #methodsmatter #rstats; open science advocate; grumpy towards prestige worshippers, excessive admin and bros; will sacrifice sleep for a sunrise. https://robinsonlabuzh.github.io/

@Stanford Professor. AI for science and medicine.

Molecular cell biology and stats / ML, mostly scRNA-seq. Principal Scientist at Tahoe Tx. https://www.nxn.se/archive

We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.

Computational immunologist; Professor at Yale School of Medicine; Co-Director, Computational Biology & Biomedical Informatics; B cell receptor sequencing analysis, http://immcantation.org + multi-omics signatures of infection, vaccination & autoimmunity.

Lab Head at the WEHI and the Brain Cancer Center by CB4BC. BioinfoMagician using computational biology, spatial and single cell omics so that one day no lives will be lost to brain cancer.

Computational Cancer Genomics Group

Postdoc in Computational Biology at @CirielloLab @dbc_unil. Machine Learning for spatial omics. https://batcheffect.com

Faculty. multiomic. EMR. informatics. womenhealth.#mom of 2. PECASE awardee. Fellow AIMBE. DEI ✊. Opion's my own.

Postdoc mathematician working in spatial biology and cancer at @oxfordmathematics.bsky.social @ox.ac.uk Developer of https://docs.muspan.co.uk

Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch

Bioinformatician at Universitätsklinikum Würzburg Spatial trx, neonatal immunity, multi-omics, gut-brain axis he/him 🏳️‍🌈 LinkedIn: https://www.linkedin.com/in/eray-sahin

Group leader at the Josep Carreras Leukemia Research Institute. Passionate of single-cell genomics and ML! Advancing personalized therapies for cancer and beyond. #singlecellgenomics #Immunotherapy

ML/AI methods & tools for using massive public data collections to gain insights into complex disease mechanisms. Associate Professor & Group leader thekrishnanlab.org at the Dept. of Biomedical Informatics at CU Anschutz.

PI of the machine learning for Integrative genomics lab @pasteur.fr and @CNRS.bsky.social #NewPI #DiversityEqualityInclusion Single-cell, multi-omics, machine learning

Senior Research Associate at Cambridge University Genetic prediction, Multi-omics, Health data science, Machine Learning

Head, Dept of Biochemistry & Molecular Genetics, Univ of Illinois, College of Medicine: cell biology, vascular biology, genomics, computational biology, immunology, regeneration, neuroscience; https://chicago.medicine.uic.edu/bmg/profiles/rehman-jalees/

Ph.D student in Computer Science and Engineering at the University of Washington working with Su-In Lee.

Prof of Computer Science and Life Sciences @ EPFL Previously @ Stanford ML🤖+Bio🧬 https://brbiclab.epfl.ch/

Teif lab at the University of Essex. We work on gene regulation in chromatin and applications to liquid biopsies, using approaches of genomics, biophysics, bioinformatics & AI. Our focus is nucleosomics, TF binding, CTCF, cfDNA. https://generegulation.org

Computational immunologist. Interested in immunooncology, cytometry, single cell data, spatial data, T and B cell specificities...

Professor of Biomedical Informatics @InfAtEd, Dir. @AI4BI_CDT - Bioinformatics, Machine Learning, BioNLP, Genomics, Genetic Disease

Principal Scientist @ Somite AI | Computational biology and biomedical data science | Boston, MA | https://mbernste.github.io

sampling reality

Canadian researcher studying NK cells' roles and potential against cancer. Scientific Director of the Beatrice Hunter Cancer Research Institute (BHCRI.ca)

Scientist at Champalimaud Foundation (polaviejalab.org) and co-founder of Algebraic AI (algebraic.ai). #Maths4AI #AI4Science, #BehaviorAI #NeuroAI #CognitionAI #CollectiveBehavior

Head, Bioinformatics and Cellular Genomics Lab, St Vincent's Institute of Medical Research, Melbourne. Stats, AI/ML, bioinformatics, genomics, single-cell. https://www.svi.edu.au/researchers/dr-davis-mccarthy/

Dad x 2, husband, son, brother, computational biologist, genome scientist, associate professor at la jolla institute for immunology (LJI) and UCSD https://www.lji.org/labs/ay/

Personal account. Spatial biology and multiplex imaging. Scientist, sports fan, and amateur musician. An eclectic mix of science, politics, sports, and music content. #JEDIcouncil4mIFIHC

🇨🇱🇬🇧🏴󠁧󠁢󠁳󠁣󠁴󠁿Reader / Biomedical Data Science group leader @uoe-igc.bsky.social Co-Director Health Data Research UK Scotland. ELLIS Health Scholar. Former @turinginst. Opinions my own.

Postdoc in the Sonnenberg Lab at Weill Cornell Medicine. Charles H. Revson Senior Fellow. Mucosal immunology, innate immunity, bioinformatics, and IBD. 👩🏻‍🔬👩🏻‍⚕️👩🏻‍💻🎻🌻

Scientist/Engineer. Assistant Professor @ Yale School of Medicine. Tissue Biology, Lung Regeneration, Data Visualization. Here to learn. https://RaredonLab.com

AI4Science researcher. Associate Professor @CSHL. My lab advances AI for genomics and healthcare! http://koo-lab.github.io

NIH/NIA, Ex-PCORI, Health Policy (UMD), Stats (UW). AMSTAT 2027 HPSS Chair. Human to @parrishpets.bsky.social. My posts, not NIH's. BD Signer. RT Speaker. Reposts &❤️≠endorsements. Signal: tyk314.15.

PhD Candidate @CRG.eu with @larsplus.bsky.social | Computational Biology & Single Cell Epigenetics

#NewPI #CNRS #CPJ #Recruiting at Necker Institute and Institut Imagine, Paris. Systems Biology of Mobile DNA (mostly Human Endogenous Retroviruses) and Genome Regulation Alum: Feschotte lab (post-doc), Izsvak Lab (PhD) and Max-Planck Institute.

Computational Biologist at TU Dresden. Interested in how genomes encode their own stability.

Group leader of the Stochastic Systems Biology Lab at IGBMC - CNRS - University of Strasbourg. Models of gene regulation based on biophysics-informed deep learning: https://www.igbmc.fr/molina

Probabilistic machine learning to address questions in evolution and health #EvolutionaryMedicine. PI at the Centre for Genomic Regulation, co-leading a group with Mafalda Dias. Previously Harvard.

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)

Cell biologist studying retina and gene regulation using #organoids and #machinelearning PhD Student in the MCB program at the University of Washington/Seattle Children’s Research Institute He/Him | Views/posts are my own

#Genetics #neuroscience #cancer #singlecell #spatial #omics #datascience investigator, #STEM advocator, #fosteryouth protector, #wife #mom of 2 delicious daughters, views my own

I'm head of the Clinical Discovery Bioinformatics group @ Gustave Roussy We are interested in #omics #precisionmedicine #translationalresearch #cancer #bioinformatics #cancergenomics #datascience #AI The image is Pollock, I like the depth of scale.

Engelhardt Research Group at Stanford University and Gladstone Institutes. Statistical genomics, live-cell imaging, wearable data, cancer immunology, reproductive health.

Group Leader Computational Biology University of Salzburg

data science postdoc in Tübingen 🧬🖥️🧠 scRNA data analysis, UMAP/tSNE & retina neuroscience | science journalism on AI & sustainability 🤖❤️🌍 | easily sidetracked by small plot details & cool birds 📈🔍🦜

Co-Founder Biocartography Scalable Single Cell Spatial Omics Solutions with ATLAS Spatial transcriptomics method development during PhD & Postdoc @ UCLA

Department of Genetics, Institute for Immunology and Immune Health, Epigenetics Institute, University of Pennsylvania https://vahedilab.com/ https://www.instagram.com/vahedilaboratory/

Computational biologist/ex-Gilead/ex-BMS. Ex-Nautilus Biotech All opinions are just my own #proteomics #single-cell #spatial #data-science #CRISPR

Stadtman Principal Investigator @NIH / NIA. Computational Genomics, RNA, Aging, Stress Response, Senescence. Posts are my own.

personalized cancer immunotherapy = genomics + immunology + machine learning + oncology (pirl.unc.edu)

co-founder & president @newlimitbio.bsky.social | Prev PI @calico, PhD @ucsf | interested in aging, machine learning, genomics, & the technology production function https://jck.bio

Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com