Matt Loose
Sequencing, adapting and exploring genomes.
https://linktr.ee/matt.loose
@ewanbirney.bsky.social
Executive Director EMBL. I have an insatiable love of biology. Consultant to ONT and Cantata (Dovetail)
@hagenom.bsky.social
Nucleic acid explorer and psychedelic music lover. I still Believe In Peace Chemistry Prof@TelAvivUni, Founder of JaxBio http://www.nanobiophotonix.com https://jaxbio.com/
@bioinfomatt.bsky.social
Director, Clinical Bioinformatics Software at Oxford Nanopore in the EPI2ME team. Interested in regulated application of Nanopore sequencing. Also bikes, beers, trains, and the American Office.
@gringene.org
Neurodivergent bioinformatician, cuddler of data, and theoretical geneticist, with a love for Free Software and the hacking thereof. Rangitāne o Wairau. He/they. Unemployed / freelance. https://ko-fi.com/gringer Website: https://www.gringene.org
@flodebarre.bsky.social
Evolutionary biologist, theoretician CNRS Senior Researcher at Sorbonne Université Interests: Infectious diseases, their origins and control; scientific publishing; diversity in science ORCID: https://orcid.org/0000-0003-2497-833X #HelloESR Own views
@fgcz-en.bsky.social
Functional Genomics Center Zurich (FGCZ) is a joint platform of the ETH Zürich and the University of Zurich. #genomics #proteomics #metabolomics Check us out on LinkedIn: https://tinyurl.com/fgczlinkedin
@martintobin.bsky.social
Genetic Epidemiologist, University of Leicester. Public Health Doc. Cyclist.
@andrewrouth.bsky.social
Molecular virologist | Deep-sequencer | Institute Investigator at Scripps Research | Co-founder and CSO at ClickSeq Technologies | 🇬🇧 in 🇺🇸 | He/him | Dad
@vellamike.bsky.social
Head of Machine Learning at Oxford Nanopore, driving fast algorithms and research to analyze DNA/RNA/Proteins.
@rgottardo.bsky.social
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.
@estellayixingdong.bsky.social
R advocate #rstats | PhD @CHUVLausanne @unil | Immunology, Immunotherapy, Single-Cell RNAseq, Spatial Transcriptomics, Statistics and Machine Learning. 📷⛸️🏔️
@onesinglecell.bsky.social
I treat every #singleCell gently. | PhD in Comp Bio at CHUV, Lausanne #OpenScience #SpatialTranscriptomics
@casey.greenelab.com
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.
@fabiantheis.bsky.social
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
@victorgreiff.bsky.social
Computational and Systems Immunology Lab @UniOslo. Immune receptor profiling | Machine learning | Antibody engineering
@suinlee.bsky.social
Paul G. Allen 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/
@jef.works
Assistant prof @JHUBME. Doing #spatialtranscriptomics #bioinformatics #rstats. Founder @cuSTEMized. Editor @PLOSCompBio. Alum @HarvardDBMI @mbhsmagnet.
@atulbutte.bsky.social
Chief Data Scientist U of CA Health・Director, Bakar Computational Health Sci Institute・Distinguished Prof af UCSF・Entrepreneur・He/him・Opinions ⇨ my own
@tsanglab.bsky.social
Systems immunologist @ Yale studying human immune variation. We measure, predict, understand, and engineer individual immunity and health. Lab: https://www.tsanglab.org Center: https://medicine.yale.edu/systems-engineering-immunology/
@gioelelamanno.bsky.social
Professor at #EPFL - #RNAVelocity inventor - Laboratory of Brain Development and Biological Data Science. Biologist loving math and computers. Single cell biologist interested in brain development and lipids.
@sjturn.bsky.social
Immunologist @MonashUni, Head of Dept Microbiology, Past President of @ASImmunology; Trying to work out how immunity works, in particular T cells #Tcellsarecool #immunosky
@mrattray.bsky.social
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
@babak-a.bsky.social
Chief Scientist at @exai.bio — I use computational biology, machine learning and large-scale datasets to improve human health
@julienroux.bsky.social
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 🧬 🖥️
@yimmieg.bsky.social
Genome scientist becoming engineer. Immunologist. Geneticist. Dabbles in statistics and statistical learning. Home @UCSF, affiliated with Arc and PICI.
@msuchard.bsky.social
Striving to provide better evidence to improve health globally! Professor, Departments of Biostatistics, Computational Medicine and Human Genetics, UCLA
@saezlab.bsky.social
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/
@bartdeplancke.bsky.social
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
@nxn.se
Molecular cell biology and stats / ML, mostly scRNA-seq. Principal Scientist at Vevo Tx. https://www.nxn.se/archive
@krishnaswamylab.bsky.social
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
@skleinstein.bsky.social
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.
@saskiafreytag.bsky.social
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.
@marcovarrone.bsky.social
Postdoc in Computational Biology at @CirielloLab @dbc_unil. Machine Learning for spatial omics. https://batcheffect.com
@lgarmire.bsky.social
Faculty. multiomic. EMR. informatics. womenhealth.#mom of 2. PECASE awardee. Fellow AIMBE. DEI ✊. Opion's my own.
@joshuabull.bsky.social
Spatial biology + maths, finally starting to give up on The Bad Place
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@eraysahin.bsky.social
PhD in Bioinformatics | Bioinformatics Analyst at cmbio multi-omics, gut-brain axis he/him 🏳️🌈 #opentowork #opentoPostDoc LinkedIn: https://www.linkedin.com/in/eray-sahin
@elimereu.bsky.social
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
@compbiologist.bsky.social
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.
@aagrande.bsky.social
Staff Scientist at Memorial Sloan Kettering | Postdoc at Columbia I am interested in probabilistic machine learning, with a focus on generative modeling for single-cell data.
@cantinilab.bsky.social
PI of the machine learning for Integrative genomics lab @pasteur.fr and @CNRS.bsky.social #NewPI #DiversityEqualityInclusion Single-cell, multi-omics, machine learning
@yuxu.bsky.social
Senior Research Associate at Cambridge University Genetic prediction, Multi-omics, Health data science, Machine Learning
@ethanweinberger.bsky.social
Ph.D student in Computer Science and Engineering at the University of Washington working with Su-In Lee.