Ani Eloyan
Associate professor of Biostatistics, Brown University, statistical methods for brain imaging data
@shooshan.bsky.social
Health Economist | Associate Professor @waynestate @WayneStateCLAS | Previously @CornellEcon @LSEEcon @JohnsHopkins | Mom to 3 lovely kids. https://www.shooshandanagoulian.com/
@sneuroble.bsky.social
Computational neuroscientist working towards precision fMRI / networks | @Northeastern | @Yale | @NIMH BRAIN R00 | Peru-Am 🇵🇪 | artist https://neuroprismlab.github.io/
@relajoie.bsky.social
Neuroscientist studying aging & Alzheimer’s using a mix of neuroimaging, cognitive, biofluid tools.
@boulesteixlaure.bsky.social
Statistician and metascientist. Professor of biometrics at LMU Munich Medical and Mathematical Faculties, committed to open science, member of the Munich Center of Machine Learning. Opinions are mine.
@rhubbbstat.bsky.social
professor of biostatistics at brown, professional skeptic, lover of cats and Star Trek
@hmason.bsky.social
Co-founder & CEO of Hidden Door. I <3 cheeseburgers and making beautiful things. I know a thing or two about AI, but it's people who matter. I am interested in many things. NYC
@elisabethbik.bsky.social
Science integrity consultant and crowdfunded volunteer, PhD. Ex-Stanford University. Maddox Prize/Einstein F Award winner NL/USA/SFO. #ImageForensics @MicrobiomDigest on X. Blog: ScienceIntegrityDigest.com Support me: https://www.patreon.com/elisabethbik
@moorejh.bsky.social
Chair, Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles. Director, Center for Artificial Intelligence Research & Education. Atari enthusiast. Retrocomputing. Maker.
@nichols.bsky.social
Professor of Neuroimaging Statistics Oxford Big Data Institute Nuffield Department of Population Health University of Oxford
@tyk314.net
She/Her, NIH, Ex-PCORI, Health Policy (UMD), Biostats (UW). AMSTAT 2027 HPSS Chair. ADRD, RCTs/PCTs, LHS, AI Warrior in Training. 🏊♀️🥐🌈🐱🐔Human to @parrishpets.bsky.social. My skeets, not NIH's. Reskeets &❤️≠endorsements. Signal: tyk314.15.
@neurostats.org
AI in Bio & Health & Therapeutic Development Bio: https://linktr.ee/mnarayan Substack: https://blog.neurostats.org Peek into my brain: notes.manjarinarayan.org Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS 🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
@timpmorris.bsky.social
Principal research fellow in statistical methods. Work on simulation studies, non-inferiority, missing data, estimands, covariate adjustment… He/him https://tpmorris.substack.com/ https://profiles.ucl.ac.uk/2059
@chelseaparlett.bsky.social
Ph.D, stats lover/writer✍🏼, #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
@elenadata.bsky.social
CS Prof @ University of Illinois Chicago. Research in causal inference, machine learning, graph mining, privacy. www.cs.uic.edu/~elena
@louisahsmith.com
Assistant professor at Northeastern (Health Sciences) & the Roux Institute in Portland, ME. Epidemiologic methods, causal inference, biostats, reproductive and perinatal epi, #rstats, teaching & learning. she/her 🐶🚴♀️🏔️🎗️
@aschuler.bsky.social
Assistant Professor of Biostatistics UC Berkeley semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice Modern Causal Inference Book: alejandroschuler.github.io/mci/
@lmiratrix.bsky.social
Associate professor at the Harvard Graduate School of Education. Works on statistical methodology, causal inference, text as data, randomized experiments, and sometimes bad prose and poetry.
@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/
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@daphna.bsky.social
Associate Prof of Applied Stats at NYU ASH/PRIISM. PI: NYU Queer Data Lab. she/her 🏳️🌈
@mcknaus.bsky.social
Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning. Teaching material: https://github.com/MCKnaus/causalML-teaching Homepage: mcknaus.github.io
@maartenvsmeden.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
@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/
@mikelove.bsky.social
Genetics, bioinformatics, comp bio, statistics, data science, open source, open science!
@felicityenders.bsky.social
Professor of #Biostatistics @MayoClinic. Health Outcome Population Engineering, #HiddenCurriculum for #Research, and Population Conscious Analysis. Mom of 2xBipedal, 1xCanine. Love to cook, camp, sing. Love trees. Views are my own, not my employer’s.
@leviwaldron1.bsky.social
Professor of Biostatistics at CUNY SPH, rstat / Bioconductor enthusiast, cancer genomics/metagenomics, proud HPV OSCC cancer survivor.
@stephaniehicks.bsky.social
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
@stephaniemlee.bsky.social
Senior writer at @chronicle.com, writing about scholarship, scholars, and society / [email protected] / Signal: stephaniemlee.07 / stephaniemlee.com / San Francisco
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@bttyeo.bsky.social
Brain imaging, machine learning, neuroscience, mental disorders https://sites.google.com/view/yeolab
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@statsepi.bsky.social
Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #WBE #IDSurveillance Views mine -> https://statsepi.substack.com/
@rdpeng.org
Professor of Statistics and Data Sciences UT Austin | Prev JHUBiostat | R Programming for Data Science | Simply Stats Blog | Not So Standard Deviations | The Effort Report
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@drjwolfson.bsky.social
Professor, UMN Biostatistics & Health Data Science. Co-founder, Daynamica (www.daynamica.com). Canadian still pronouncing Z the right way, usually.
@edyong209.bsky.social
Writer, journalist. Science, health. Pandemics, animals. Birder, photographer. Many words, some awards. AN IMMENSE WORLD, I CONTAIN MULTITUDES. Married to Liz Neeley, parent to Typo. he/him 📷 Canon R6mkii + RF 800mm Edyong.me
@kstsosie.bsky.social
Indigenous (Diné/Navajo) geneticist and bioethicist | Asst Prof @ASU | Co-Founder Native BioData Consortium Indigenous-led research
@gscollins.bsky.social
Statistician • Professor • University of Oxford • NIHR Senior Investigator • 🚴♂️ TRIPOD+AI: tinyurl.com/2dsb9e75 EQUATOR Network: tinyurl.com/5dw4rcy5 Google scholar: tinyurl.com/ysv3zwek #prediction #machinelearning #AI #openscience #metascience
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@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.
@etchin.bsky.social
Assistant Professor of Biostatistics at Johns Hopkins • health equity • data science • studying mass incarceration and algorithm bias
@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/
@gaelvaroquaux.bsky.social
Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD