Biologist by training, basketball player at heart
Professor for Translational Epigenetics & Genome Architecture, University Medical Center Goettingen, Germany.
www.papantonislab.eu
We develop software for analysis of genomics data with particular focus on 3D genomics.
https://open2c.github.io/
https://github.com/open2c
Genomics, AI, sequence-to-function models, mechanisms of the cis-regulatory code. Investigator at the Stowers Institute.
AI4Science researcher. Associate Professor @CSHL. My lab advances AI for genomics and healthcare!
http://koo-lab.github.io
Statistical geneticist. Associate Prof at Dana-Farber / Harvard Medical School.
www.gusevlab.org
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
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
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.
Computational Biologist. Mostly in English, sometimes in French. #NoPasaran
Resident panhandler, http://trichelab.org/
Posts may contain trace quantities of blood🩸, chromatin 🧬, and stats 🧮
CV: 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
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 🖥️🧬
