Miguel Twahirwa
Data nerd 🤓| interested in using AI/ML to solve business challenges 📊| passionate about tech & entrepreneurship
@aaronclauset.bsky.social
NO KINGS. NO NAZIS. FUND SCIENCE. Professor of Computer Science @ BioFrontiers Institute at University of Colorado, Boulder and External Faculty @ Santa Fe Institute orcid: https://orcid.org/0000-0002-3529-8746
@azjacobs.bsky.social
Asst Prof of Information @ UMich thinking about assumptions built into AI
@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
@f2harrell.bsky.social
Professor of Biostatistics Vanderbilt University School of Medicine Expert Biostatistics Advisor FDA Center for Drug Evaluation and Research https://hbiostat.org https://fharrell.com
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@malcolmbarrett.malco.io
Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
@danlarremore.bsky.social
Prof | CU Boulder BioFrontiers Institute + Computer Science | Santa Fe Institute LarremoreLab.github.io
@minecr.bsky.social
she/her professor at duke university + developer educator at posit cat videos = instant smiles https://mine-cr.com https://fosstodon.org/@minecr
@jugander.bsky.social
Associate Professor, Stanford MS&E. Visiting Yale FDS '24-'25. Social networks, social and behavioral data, causal inference, mountains. www.stanford.edu/~jugander/
@stephaniehicks.bsky.social
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
@christosargyrop.bsky.social
Division Chief, Nephrology UNMHSC (im)personal views & account #zerokale Firm believer : caveat emptor & stupidity is immoral Random thoughts about #nephrology #stats #bioinformatics #perl #HPC #nanopore #RNAseq #covid19 #amateurcoding
@aliceschwarze.bsky.social
Head of Research @ Utah AI Policy Office // math, networks, complex systems, machine learning, and all things AI // mom & cat lady
@maibennett.com
Asst Professor at @UTAustin working on causal inference. The Anna Wintour of slide decks. If you have something to say, say it with a nice plot #rstats
@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
@statstas.datascience.blue
Social data scientist AMA about survey statistics, sampling weights, small area estimation, multilevel models, latent class analysis, structural equation models, #rstats, #Stata. Scraping contents of this account is not permitted.
@bechhof.bsky.social
statistics obsessor, economics enjoyer, occasional engineer, founder at TrovBase
@noahgreifer.bsky.social
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him ngreifer.github.io
@linstonwin.bsky.social
senior lecturer in statistics, penn NYC & Philadelphia https://www.stat.berkeley.edu/~winston
@jgyou.bsky.social
Assistant professor of Statistics and Complex systems at UVM. Lab: https://joint-lab.github.io
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@joft.bsky.social
Prof. of #Statistics, #machinelearning / ethics for #datascience @LSE. Unschooled to community college to PhD @Stanford Technology, institutions, and ideas should serve people, but much of humanity is stuck with this upside-down.
@rohanalexander.bsky.social
I spend too much money on books. And too much time writing them. 🇦🇺🇨🇦. https://rohanalexander.com http://tellingstorieswithdata.com https://rohanalexander.substack.com
@causalab.bsky.social
Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators at Harvard T.H. Chan School of Public Health. Connect with CAUSALab: https://linktr.ee/causalab
@ericjpedersen.bsky.social
Associate prof of biology prof Concordia University. Lost in the wilds between ecology, statistics, and dynamic systems. Always interested in chatting all things GAM- and and nonlinear-system related
@paperposterbot.bsky.social
posts updates from arXiv rss feeds for methodology papers in Statistics and Econometrics. Also maintains an arxiv and posts random papers from it. maintainer: @apoorvalal.com source code: https://github.com/apoorvalal/bsky_paperbot
@daphna.bsky.social
Associate Prof of Applied Stats at NYU ASH/PRIISM. PI: NYU Queer Data Lab. she/her 🏳️🌈
@jake-westfall.bsky.social
Software engineer (MLOps), previously data scientist, previously research psychologist. Teetotal vegan YIMBY cyclist in Austin, TX, USA.
@jamesuanhoro.bsky.social
Nigerian. Assistant professor in the Research, Measurement & Statistics program at University of North Texas. Uses Stan a lot. Member @CWA6186 / TSEU
@wjakethompson.com
👨🏼🏫 Psychometrician 👨🏼💻 ∈ {#rstats} ∩ {Taylor Swift} ∩ {dessert} http://pronoun.is/he
@modrakm.bsky.social
Biostatistics/bioinformatics at Charles University, 2nd faculty of Medicine. Bayesian in practice, but not a fan of Bayesianepistemology. Main on fedi: https://bayes.club/@modrak_m Blog: https://martinmodrak.cz
@angelamanzo.com
Professional nerd by day—amateur nerd by night. Mother of Danger & Whimsy; Brazil-born WV-raised MA-settled MIT-trained Mathematician. I help build data clouds but I don’t talk for my employer; please read the FAQs: angelamanzo.com/faq
@gemoran.bsky.social
Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@emcfowland.bsky.social
HBS Professor interested in the development and deployment of Data Science tools (e.g., Anomaly Detection, Causal Inference, Networks) for better decision-making.
@erictleung.bsky.social
marketing data scientist, generalist, math and library enthusiast, data scientist of the third kind, loves good stationary and pens, low tech enthusiast, open source tinkerer, opinions = mine #rstats
@statstipton.bsky.social
Professor of Statistics at NorthwesternU, Faculty Fellow at IPRatNU. meta-analysis, causal generalization, education, psychology.
@epiellie.bsky.social
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
@rnishimura.bsky.social
Survey methodologist and statistician at the Survey Research Center, Institute for Social Research, University of Michigan #survey | #sampling | #statistics | #RStats
@aeadata.bsky.social
Data editor for the American Economic Association - for official guidance, always go to http://aeaweb.org and https://aeadataeditor.github.io. Does not follow persons (sorry)
@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/
@stephenjwild.bsky.social
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
@datavisfriendly.bsky.social
ASA Fellow; #rstats developer of graphical methods for categorical and multivariate data; #datavis history of data visualization; #historicaldatavis; Milestones project Web: www.datavis.ca GitHub: github.com/friendly
@joshpasek.com
Prof of Comm & Media and Polisci @Umich studying how people get and use political information and social measurement. Skills/competencies: data sci, DIY solar, election analytics, carpooling, #polcom, #polpsych, survey methods, AI (views are my own)