Daniela Witten
dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
@vigocarpathian.bsky.social
Prof of Computational Biomedicine. Cancer Research. Author of "Open letter to graduate students: it's time to write." https://www.nature.com/articles/s41587-025-02584-1 Views expressed are my own and do not reflect the views or positions of my employer.
@adambonica.bsky.social
Professor of Political Science at Stanford | Exploring money in politics, campaigns and elections, ideology, the courts, and inequality | Author of The Judicial Tug of War cup.org/2LEoMrs | Pro-democracy
@alisonrustagi.bsky.social
Epidemiologist and primary care physician. Asst Prof @ UCSF. Cancer screening, precision prevention, views my own
@ilanawitten.bsky.social
@rflperry.bsky.social
Selective inference, stat ML, OSS | PhD Student at UW Stats (https://rflperry.github.io/) | Previously MPI IS, neurodata.io
@jmschreiber91.bsky.social
Studying genomics, machine learning, and fruit. My code is like our genomes -- most of it is junk. Guest Scientist IMP Vienna, Board of Directors NumFOCUS Incoming Prof UMass Chan Medical Previously Stanford Genetics, UW CSE.
@maitreya.bsky.social
My lab works on genome evolution, using yeast genetics and genomics. Chair, Department of Genome Sciences at University of Washington. Lab website: https://depts.washington.edu/dunhamlab/
@tslumley.bsky.social
Biostatistician. Baritone. He/Him. Product of more than one country. May contain nuts.
@kathoffman.bsky.social
biostatistician + biostatistics phd student at the university of washington. learning + writing about better ways to conduct research. #rstats, #dataviz, causal inference. she/her. blog: https://www.khstats.com/
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@carlbergstrom.com
UW biology prof. I study how information flows in biology, science, and society. Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b LLM course: https://thebullshitmachines.com Corvids: https://tinyurl.com/mr2n5ymk I don't like fascists. he/him
@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)
@avifeller.bsky.social
@aoc.bsky.social
Waitress turned Congresswoman for the Bronx and Queens. Grassroots elected, small-dollar supported. A better world is possible. ocasiocortez.com
@omaclaren.bsky.social
I use mathematics, computation, statistics, & machine learning to help think about biology, engineering, & other things. University of Auckland, NZ. Research: http://tinyurl.com/ojmscholar, Teaching: https://tinyurl.com/ojmteaching
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@nytimes.com
In-depth, independent reporting to better understand the world, now on Bluesky. News tips? Share them here: http://nyti.ms/2FVHq9v
@royalstatsoc.bsky.social
We're a membership body for statisticians and data professionals, promoting a world with data at the heart of understanding and decision-making.
@stephaniehicks.bsky.social
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
@danielmalinsky.bsky.social
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
@lucylgao.bsky.social
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@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
@anshulkundaje.bsky.social
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
@cbartman.bsky.social
brand new asst prof at University of Pennsylvania studying metabolic flux- NCI R00 awardee- also i do bad jokes (she/her) https://bartmanlabpenn.squarespace.com/
@harmitmalik.bsky.social
Study genetic conflicts professionally. Try to avoid conflicts in personal life (with mixed results). Fred Hutch Basic Sciences (https://go.bsky.app/ReCeiC6) UW Genome Sciences (go.bsky.app/L8RAbiJ) HHMI (hhmi.bsky.social) Posting in a personal capacity.
@yun-s-song.bsky.social
Professor of EECS and Statistics at UC Berkeley. Mathematical and computational biologist.
@arjunraj.bsky.social
Just another LLM. Tweets do not necessarily reflect the views of people in my lab or even my own views last week. http://rajlab.seas.upenn.edu https://rajlaboratory.blogspot.com
@petrovadmitri.bsky.social
Evolutionary Biologist at Stanford. Rapid Evolution, Adaptation, and Genomics. Open Science advocate.
@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
@wrightcensored.bsky.social
Associate Professor of Population Medicine @ Harvard & Auntie | decision sciences, #healthpolicy, child health, #medsky | storytelling, dresses, #F1 #TeamLH, libraries | opinions are my own DaveneWright.com
@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
@mcuellar.bsky.social
Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
@seanjtaylor.com
Data Science, Causal Inference, Economics, Statistics and Machine Learning Two joys in life: [1] Learning something interesting about the world [2] Telling people about it Data Science @OpenAI
@rafalab.bsky.social
Applied statistician. I tweet data-driven observations, data science educational materials, academic research updates, and the occasional joke.
@hakeemjefferson.bsky.social
Assistant professor of political science. I think about identity, stigma, race, and politics more than any normal person should. Lover of life. Pro-democracy. People should dance more. Not Hakeem Jeffries, the Minority Leader.
@russpoldrack.org
Professor at Stanford. Psychology/Neuroscience/Data Science. Books include: The New Mind Readers, Handbook of fMRI Data Analysis, Hard to Break, and Statistical Thinking. https://poldrack.github.io/
@eloyan.bsky.social
Associate professor of Biostatistics, Brown University, statistical methods for brain imaging data
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@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/
@rhubbbstat.bsky.social
professor of biostatistics at brown, professional skeptic, lover of cats and Star Trek