Benjamin Burr
Statistician, dog person, runner, and so on. 🇨🇦 in Sheffield 🇬🇧 living my best Yorkshire life. Account is mostly for lurking.
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@kimberlywebb.bsky.social
Biostatistician ▪️ Assistant Professor at Pitt GIM ▪️ PhD at🌽L ▪️ MS at UMich ▪️ BS at Carnegie Mellon ▪️ she/her ▪️ kimhwebb.com
@nickchk.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
@mrcctu.bsky.social
We carry out innovative #ClinicalTrials and develop new #Methodology that has global impact, improving health worldwide. #MedSky #StatsSky
@wakeforeststats.bsky.social
Wake Forest Department of Statistical Sciences | Small Department, Big Impact
@denistalbotbiostat.bsky.social
Professor of biostatistics at Université Laval, causal inference enthusiast, dog-lover
@amjepi.bsky.social
Founded in 1920 and owned by Johns Hopkins Bloomberg School of Public Health.
@robertwplatt.bsky.social
Prof @McGillU. Albert Boehringer I Chair. I'm here for talk about study design, good pizza, snow sports, cycling, soccer (#cfmtl and #fulhamfc), and work-life balance. Would rather be outside.
@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
@margaritamb.bsky.social
Professor of Biostatistics. University of Melbourne & Murdoch Children’s Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
@danielnevo.bsky.social
Associate Prof. Tel Aviv University, Stat & OR Department. (Bio)statistics, causal inference, etc.
@nataliexdean.bsky.social
Associate Professor of Biostatistics at Emory Rollins School of Public Health
@thenewstats.bsky.social
Open science, estimation statistics, and random thoughts from Bob Calin-Jageman and Geoff Cumming. https://thenewstatistics.com/itns/
@awlevis.bsky.social
Postdoc @ CMU Statistics & Data Science www.awlevis.com interests: causal inference, distribution shift, machine learning, non/semiparametrics, w/ applications in EHR data & beyond
@michaelplanknz.bsky.social
Professor of Applied Mathematics at the University of Canterbury, NZ. Fellow @royalsocietynz.bsky.social. Math modelling in biology and epidemiology. Bicycles make the world a better place. He/him https://www.math.canterbury.ac.nz/~m.plank/
@alecmcclean.bsky.social
Postdoc @ NYU Grossman; stats / ML + causal inference https://alecmcclean.github.io/
@mfschomaker.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV michaelschomaker.github.io
@bonv.bsky.social
Assistant Professor in the Department of Statistics at Rutgers He/him 🏳️🌈
@gelovennan.bsky.social
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
@andreaschaffer.bsky.social
Epidemiologist at Bennett Institue for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford https://www.bennett.ox.ac.uk/
@ariadnerivera.bsky.social
Epi PhD Candidate Interests in causal inference, social epi, policy evaluation, dev economics.
@mandymejia.bsky.social
Associate Professor of Statistics at Indiana University, statistical analysis of functional neuroimaging data, PI of the StatMIND lab
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@hanowell.me
Lover of event history analysis, causal inference, Bayesian inference, and their intersection. Also a lover of representative democracy. Posts are my own thoughts. This is a personal account. In medio tuttisimus ibis.
@raziehnabi.bsky.social
Rollins Assistant Professor of Biostatistics @EmoryRollins, PhD @JHU.edu Interested in causal inference, missing data, machine learning, algorithmic fairness, non/semiparametrics, graphical models, etc raziehnabi.com
@otterrunkennel.bsky.social
Progressive sled dog team- home to happy dogs, Martha, Chad, Erin, T-Boone and Leda Schouweiler. 8x best kept team award recipient. https://www.patreon.com/otterrunsleddogs
@dadosdelaplace.bsky.social
👨🏫 Mathematician. PhD statistics since 2018 🍀 Researcher and professor at @unicomplutense.bsky.social (formerly: @nunetsi.bsky.social, UNIOVI, UPMC, UGR) 🏡 SEIO and DVS 🎙#RStats trainer #Biostatistics #NetworkAnalysis
@epigenci.bsky.social
PhD Student at UMich Statistics. The account mostly trashes about US urban planning and infrastructure. Probability, Statistics, and Evolutionary Biology. https://hanbin973.github.io
@rlbarter.bsky.social
Data Scientist and Educator with a PhD in Statistics. I like exploring messy data and explaining things. Blog | www.rebeccabarter.com Co-author of Veridical Data Science | www.vdsbook.com Author of The R Workshop | www.r-workshop.org
@jessieish.bsky.social
MPH, PhD in epidemiology | faculty, University of Washington | studying and teaching about racism, white supremacy culture, race-based bullying and violence, and public health | excited about pedagogy and the Dodgers | opinions my own
@stathorizons.bsky.social
We offer online short courses on a wide variety of popular statistical methods with expert instructors.
@uoftcompsci.bsky.social
The Department of Computer Science at the University of Toronto.
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@amydjohn.bsky.social
🇨🇦 Assistant Professor @ uCalgary Obs/Gyn | She/her | Epidemiologist (PhD, CPH) | 💃 #WomensHealth #WomensHeartHealth #CardioObstetrics🫀🤰| Mom 👪 | #WomenInSTEM | #EDIA proponent & ally | Insta: aware_research | www.womensCVresearch.com | Views are mine.
@canssi-incass.bsky.social
CANSSI supports training initiatives and interdisciplinary research collaborations led by members of Canada's statistical sciences community. We are funded by NSERC and member universities from across Canada and hosted at Simon Fraser University.
@statsyss.bsky.social
We are the Young Statisticians Section of the Royal Statistical Society👶🔢. The views expressed are our own and do not necessarily represent those of the RSS.
@matthollanders.bsky.social
Quantitative ecology, statistics, wildlife, field herping. Post-doctoral Research Fellow @ U of Canberra Consultant @ Quantecol, https://quantecol.com.au Wildlife tour guide @ Australian Wildlife Encounters, https://www.australianwildlifeencounters.com