Research Computing Teams
Supporting the teams that support research through data analysis, software, computing, or all of the above.
@georgerheath.bsky.social
Group leader, Bio High-Speed Atomic Force Microscopist at the University of Leeds #AFM #membranes #biophysics #Proteins #microscopy https://heath-afm-lab.github.io/
@alicepyne.bsky.social
UKRIFLF & professor of biophysics at the University of Sheffield. High-resolution #AFM and #biophysics studies of #DNA structure and function www.pyne-lab.uk 🔬🧬 she/her
@soniacontera.bsky.social
Physicist Professor of Biological Physics at University of Oxford #AFM #bio-physics #quantumbio
@costaluca.bsky.social
CNRS Scientist I develop advanced AFMs integrated with fluorescence and X-ray microscopies and spectroscopies. My research focuses on liquid interfaces and biophysical properties, especially the mechanics of membranes and biomolecular condensates
@davidalsteens.bsky.social
Senior Research Associate at FNRS. Prof at UCLouvain #Biophysics #AFM Chief Editor Frontiers in Biophysics https://perso.uclouvain.be/david.alsteens/index.html
@christoseland.bsky.social
Prof. Cancer Biophysics at University of Sheffield. Investigating Nuclear Myosin, Nuclear Organisation and Mechanobiology in Cancer with single molecule Biophysics Web: Toseland-lab.com
@eddierollins.bsky.social
Biomolecular interactions on the nanoscale. Postdoc at the University of Leeds. #AFM 🔬 #Biophysics 🧬 🧪
@grigorytagiltsev.bsky.social
Currently postdoc @briggsgroup.bsky.social @mpibiochem.bsky.social | PhD @ScheuringLab @weillcornell.bsky.social | #biophysics, #cryEM, #cryoET, #AFM
@microtopico.bsky.social
(she/her) Former mineralogist disguising as materials scientist specialized in AFM & solid state ionics (zinc batteries), loves 🌋 & planetology, MinCup, Foodie, Mama of two.
@rjchen3567.bsky.social
interested in #biophysics and structural biology. mainly use #bioAFM, especially #HS-AFM, to study protein dynamics & protein-membrane interactions.
@petermcarctic.bsky.social
Australian biochemist imported to Arctic Norway by local girl for breeding purposes (now dad of 3). Studies circulating nano-waste clearance in vertebrates (hopefully soon in worms & flies too!) at the University of Tromsø (UiT) Norway's Arctic University.
@zapotbart.bsky.social
Biophysicist mixed with biologist with expertise in atomic force microscopy (AFM), deeply passionate about correlative super-resolution microscopy and cytoskeleton dynamics. An avid runner and enthusiast of Poland's mountainous landscapes in his spare time
@lorenaredondo.bsky.social
Biophysicist, researcher @Inserm/Aix-Marseille University (Marseille, France)
@simb1.bsky.social
Marie Curie research fellow at University of Manchester Nanoscience, Biophysics and AFM
@felixrico.bsky.social
Physicist, associate professor at DyNaMo @dynamo-lab.bsky.social, U1325 @univamu @Inserm - Interested in the mechanics of molecules and cells https://sites.google.com/view/fm4b-lab/people/dr-felix-rico @felix_rico
@laurafumagalli.bsky.social
Researcher - nanoscience, physics, physical chemistry, and biophysics. Reader in Condensed Matter Physics at University of Manchester, UK #AFM #Microscopy #2Dmaterials #Biophysics #Water #Polarization #Nanoscale
@abigailroberts.bsky.social
PDRA in the Hobbs, Bullough, and Fagan labs at the University of Sheffield investigating bacterial spores with AFM | PhD Biochemistry and Biophysics (Richter lab at University of Leeds) | she/her ORCID - 0000-0001-6580-7049
@lavanyasb.bsky.social
Postdoc @UTAustin. Passionate about #instrumentation #imageprocessing #AFM. Enhancing imaging speed of #HS-AFM. #biophysics #nanopositioning #controlsystems
@hcorteleo.bsky.social
AFM expert at Nanosurf. Follow #fridayAFM for fun experiments.
@laurawiggins13.bsky.social
Post-doctoral Research Associate at the University of Sheffield, developing automated image analysis workflows to turn microscopy images into meaningful insights. 🔬 Mathematician. Biologist. Microscopist. Nerd. 🤓
@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
@sherlockpholmes.bsky.social
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
@drannecarpenter.bsky.social
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
@stephaniehicks.bsky.social
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
@mikelove.bsky.social
Genetics, bioinformatics, comp bio, statistics, data science, open source, open science!
@wkhuber.bsky.social
Statistician, Computational Biologist R | Bioconductor | Images are data https://www.huber.embl.de Textbook: Modern Statistics for Modern Biology https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
@fertiglab.bsky.social
Inter-dimensional cancer biologist. Director of the @genomescience.bsky.social at @umbaltimore.bsky.social.
@jianma.bsky.social
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
@quaidmorris.bsky.social
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai He/him/his
@robp.bsky.social
Associate Professor of CS @ University of Maryland. Proud Rust advocate! I ♥ science & compiled, statically-typed programming languages! Views are my own.
@nicorobine.bsky.social
Director, Computational Biology. [nrobine]@nygenome[.org] RNA-Seq / Cancer Genomics / anything NYC / mostly in English, sometimes in French. #NoPasaran
@timtriche.bsky.social
Chief cook & bottlewasher, http://trichelab.org/ Posts may contain trace quantities of blood🩸, chromatin 🧬, and stats 🧮 CV: https://scholar.google.com/citations?user=AOoIO74AAAAJ
@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.
@rafalab.bsky.social
Applied statistician. I tweet data-driven observations, data science educational materials, academic research updates, and the occasional joke.
@fabiantheis.bsky.social
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
@kieranrcampbell.bsky.social
https://www.camlab.ca | ML for cancer genomics + single-cell and spatial computational methods | Toronto Canada 🖥️🧬
@victorgreiff.bsky.social
Computational and Systems Immunology Lab @UniOslo. Immune receptor profiling | Machine learning | Antibody engineering
@carmonation.bsky.social
Computational biologist, associate professor at University of Geneva, Department of Pathology and Immunology. Single-cell omics, bio data science, immunology & cancer research
@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/