Rodrigo Lassance
Graduate student searching for the online Statistics community. Interested in Foundations of Stats, Bayes and some ML.
@kuben45.bsky.social
Phd candidate in Statistics - (UFSCar/ICMC). Mainly interested in Statistical ML, UQ in ML, Non-parametric inference, and foundations of Stats. My website: https://monoxido45.github.io/
@lakens.bsky.social
Metascience, statistics, psychology, philosophy of science. Eindhoven University of Technology, The Netherlands. Omnia probate.
@vlitvak.bsky.social
Neuroscientist and (kind of) programmer studying the links between the depths of the brain and its surface. Former Kiev, Jerusalem, Wuerzburg, Haifa.
@guilhermejacob.bsky.social
PhD. Candidate in Population, Territory and Public Statistics at the National School of Statistical Sciences (ENCE/IBGE). #Rstats enthusiast.
@christa.bsky.social
@jaspstats.bsky.social
Open-source statistics program that is free, friendly, & flexible. Armed with an easy-to-use GUI, we enable both classical & Bayesian analyses. https://jasp-stats.org/ Testimonials: https://jasp-stats.org/alltestimonials/
@paulgp.com
Yale SOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. He/him/his
@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
@ecpolley.bsky.social
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
@tracysweet.bsky.social
She/Her ~ Statistician/Quant Methodologist at UMD ~ CMU Stats Alum ~ Researches racial equity, social networks, machine learning, Bayesian things ~ Mom of 3 kids, 2 dogs, 1 cat
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@instrumenthull.bsky.social
Economics Professor at Brown, studying discrimination, education, healthcare, and applied econometrics. I like IV https://sites.google.com/site/aboutpeterhull/home
@chrisalbon.com
Director of Machine Learning at the Wikimedia Foundation. We host Wikipedia.
@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
@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
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@ledell.bsky.social
Chief Scientist @ Distributional.com @dbnlAI.bsky.social #MLSky #StatSky Founder @ datascientific.com Founder wimlds.org & co-founder rladies.org PhD @ UC Berkeley 🏡 🌈 Oakland, California.
@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
@beeonaposy.bsky.social
Data + product + books + parenting. DS @ Figma; blogging @ caitlinhudon.com
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@danlarremore.bsky.social
Prof | CU Boulder BioFrontiers Institute + Computer Science | Santa Fe Institute LarremoreLab.github.io
@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
@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
@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 🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
@aliceschwarze.bsky.social
Head of Research @ Utah AI Policy Office // math, networks, complex systems, machine learning, and all things AI // mom & cat lady
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@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
@mpopov.com
dad, husband, data scientist, former data science manager, product analytics pronouns: he/him website: https://mpopov.com
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@bechhof.bsky.social
statistics obsessor, economics enjoyer, occasional engineer, founder at TrovBase
@robjhyndman.com
Professor of Statistics, Monash University, Australia. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
@jgyou.bsky.social
Assistant professor of Statistics and Complex systems at UVM. Lab: https://joint-lab.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
@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 🗽