Ava Khamseh
Group Leader and Lecturer (Asst. Prof.) in Biomedical AI at University of Edinburgh |Quantitative Biomedicine #causalinference #ML #AI - views are my own
@training.ebi.embl.org
Delivering world-class bioinformatics training in data-driven life sciences virtually, and onsite at EMBL's European Bioinformatics Institute in Hinxton, UK. www.ebi.ac.uk/training
@hallben.bsky.social
Professor in computational cancer biology at UCL interested in disease, mutations, and aging. Funded by CRUK, MRC and Royal Society. Personal account for science, code, music, photography! “Tired is the new awake”
@matt-mala.bsky.social
Lecturer in Engineering Biology @edinburgh-uni.bsky.social Interested in understanding and engineering cellular neighbourhoods, and coming up with funky acronyms for new synthetic biology tools.
@craigandersn.bsky.social
Interested in DNA damage, mutations, adaptation and evolution.
@idiaz.bsky.social
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/
@maya-petersen.bsky.social
Professor of Biostatistics, Epidemiology, and Computational Precision Health University of California, Berkeley University of California, San Francisco
@mcarone.bsky.social
Professor of Biostatistics, University of Washington School of Public Health. Affiliate Investigator, Fred Hutch Vaccine and Infectious Disease Division. Causal inference, ML, survival analysis, statistical epi, viruses and vaccine science. 🇨🇦🇮🇹🇦🇲
@nshejazi.bsky.social
assistant professor of biostatistics at harvard — causal inference, machine learning, and semi-parametric estimation, mostly for questions in infectious disease science and climate change avid runner, concertgoer, timezone hopper https://nimahejazi.org
@pboileau.bsky.social
Assistant professor of biostatistics at McGill Causal inference, high-dimensional statistics, machine learning, precision medicine, and statistical software https://pboileau.ca/
@berkeleyctml.bsky.social
CTML, at UC Berkeley, is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine. https://linktr.ee/ctml_ucberkeley
@epetsalaki.bsky.social
Group Leader at EMBL-EBI. Our group uses interdisciplinary approaches including network analysis, omics integration and mathematical modelling to study the context specific regulation of human cell signalling.
@kstreet.bsky.social
Assistant Professor in Biostatistics at USC. Interested in computational tools for single-cell genomics, esp. R/Bioconductor. Teaching a lot of cool stuff related to Health Data Science. he/him
@juliosaezrod.bsky.social
Computational Biologist, Head of research @ebi.embl.org, part-time Heidelberg University, codirector DREAM challenges. For group's activities, see @saezlab.bsky.social
@anialorenc.bsky.social
Everyday computational biologist, Sunday gardener. Immunology fan @sangerinstitute.bsky.social. Here her own views from Yorkshire. #InsulinForAll (me included!)
@molsystbiol.org
#OpenAccess @embopress.org journal publishing pioneering research in systems & synthetic biology, systems medicine
@jorisveltman.bsky.social
Happy European human geneticist enjoying life in the United Kingdom. Love everything genomics, even married a genomicist..;)
@profnaveedsattar.bsky.social
Professor of Cardiometabolic Medicine at the University of Glasgow
@onehealthgenomics.bsky.social
A community of University of Edinburgh researchers seeking genome knowledge for human, animal, plant and ecosystem health. onehealthgenomics.ed.ac.uk
@kieranrcampbell.bsky.social
https://www.camlab.ca | ML for cancer genomics + single-cell and spatial computational methods | Toronto Canada 🖥️🧬
@sproullab.bsky.social
Group leader at MRC Human Genetics Unit, University of Edinburgh. Interdisciplinary research on disease #epigenetics. Part-time solo dad. Occasional music and climbing. https://institute-genetics-cancer.ed.ac.uk/research/research-groups-a-z/sproul-group
@chrisoldnall.bsky.social
PhD Researcher || Still working out why I do anything I do, but always happy anyway! 🔬👨🔬👨💻
@brittneuropsych.bsky.social
Lecturer in Data Science, Data Driven Innovation in Health and Social Care at the Usher Institute at the University of Edinburgh | Neuropsychologist & Data scientist | #rstats | she/her
@mdnicholson1.bsky.social
Chancellor's Fellow (~Asst. Prof.) University of Edinburgh | Math modelling for somatic genomics | https://michaeldnicholson.github.io
@dtoddiemoore.bsky.social
@bioggrimes.bsky.social
@uoe-igc.bsky.social
Our mission is to improve the lives of people living with genetic disease and cancer through research.
@hwarden.bsky.social
🌊🌊🌊 PhD Student - University of Edinburgh Maths, stats and morphological profiling I build pipelines to analyse the morphology and spatial distributions of single cells in WSI’s to study how this is affected by different oncogenic mutations
@s-j-aitken.bsky.social
Assistant Professor of Pathology, @yalecancer.bsky.social • @cancerresearchuk.org Clinician Scientist & Pathologist, University of Cambridge • www.aitkenlab.org • #GenomicPathology • posts≠employer
@mstaylor.bsky.social
Professor at the University of Edinburgh scientist | mutagenesis | genome biology | selection | cancer
@albertvilella.bsky.social
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, Compute Acceleration in biotech // http://albertvilella.substack.com
@ewanbirney.bsky.social
Executive Director EMBL. I have an insatiable love of biology. Consultant to ONT and Cantata (Dovetail)
@jamie-blundell.bsky.social
Evolution, cancer, immunology, math(s) Ursula Zoellner Professor of Cancer Research University of Cambridge blundelllab.com
@davi1893.bsky.social
@koenvdberge.bsky.social
Statistical genomics. Currently working on single-cell data analysis in context of drug development. Previously post-doc at UC Berkeley and Ghent University.
@ailithewing.bsky.social
Chancellor's Fellow at Institute of Genetics and Cancer, Edinburgh. Chromosomal instability, dynamics of structural variation in tumours. Lead a statistical cancer genomics 🧬 group. Beaches, trees + mountains 🏝️🌲🏔️ Currently on maternity leave.
@tisimpson.bsky.social
Professor of Biomedical Informatics @InfAtEd, Dir. @AI4BI_CDT - Bioinformatics, Machine Learning, BioNLP, Genomics, Genetic Disease
@javierfcaceres.bsky.social
Head of Genome Regulation Section at MRC Human Genetics Unit at the University of Edinburgh. Studying mechanisms of Gene expression and RNA biology. Co-Senior editor at the RNA Journal
@mdmorgan.bsky.social
Lecturer (assistant professor) University of Aberdeen. Immunology, computational biology, genetics and single cells. Runner, climber and connoisseur of Yorkshire tea. Views expressed are my own. https://www.morganlab.co.uk/
@lpachter.bsky.social
Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter
@cellysally.bsky.social
Developmental & stem cell biologist, University of Edinburgh Digs repetition Also digs local coordination between cells in development and disease #SustainableConferencing #Music #Science #MoreScience Mastodon @CellySally@biologists.social
@fengfishlab.bsky.social
Want to prevent cancer through research, if I persist we may get there in the end or at least I will learn something along the way. Zebrafish lab in Edinburgh study tumour initiation. Favourite cell is neutrophils. I❤️fish! I paint to relax 🎨
@abelaer.bsky.social
Emergence and compositionality in complex and living systems || Fellow @emergenceDIEP, University of Amsterdam || prev at MPI Leipzig & Un. of Edinburgh abeljansma.nl
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io