Edward H. Kennedy
assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
@adrianraftery.bsky.social
Statistician at UW developing methods for demography, climate change, cluster analysis, model selection & averaging.
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@stat-ron.bsky.social
Assistant Teaching Professor, Department of Statistics & Data Science, Carnegie Mellon University, Director of Carnegie Mellon #SportsAnalytics Center (CMSAC) https://stat.cmu.edu/cmsac
@eithnesexton.bsky.social
Lecturer at School of Population Health, RCSI University of Medicine and Health Sciences. Interested in epidemiological modelling, ageing, chronic disease, stroke, dementia and cognitive impairment, quality of life.
@xkcd.com
@mikelove.bsky.social
Genetics, bioinformatics, comp bio, statistics, data science, open source, open science!
@sfackley.bsky.social
Assistant Professor of Epidemiology at Brown University. Dementia Pharmacoepidemiology. Dynamical Modeling. Statistics. Metascience & Knowledge Representation. Cat Mom. She/her.
@nadiabell.bsky.social
PhD student in Health Policy, Methods for Policy Research | Harvard University Views are my own and don't represent those of employer
@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
@willtownes.bsky.social
Statistics Asst. Prof. at Carnegie Mellon interested in infectious disease (https://delphi.cmu.edu ), wearable devices, genomics, ecology, economics, and more.
@dbei-upenn.bsky.social
Perelman School of Medicine | University of Pennsylvania dbei.med.upenn.edu
@acarriquiry.bsky.social
President's Chair in Statistics at Iowa State, interested in Bayesian methods, forensic statistics, stats in nutrition, sampling. Proud Latina, political and news junkie, happily married, dog and other critter lover. Addicted to the NYT crossword.
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@rdorsett.bsky.social
Professor of Economic Evaluation, University of Westminster Economics - labour, education, crime. Causal inference. richarddorsett.com
@akshayaj.bsky.social
Associate Professor (w/out tenure) at CMU; I study the costs and benefits of economic and environmental policies impacting fossil fuels and electricity markets. Website: http://www.akshayajha.com
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@neilshephard.bsky.social
Econometrician. Professor of Economics and Professor of Statistics, Harvard University. Frank B. Baird Jr, Professor of Science
@linzpage.bsky.social
@jay.bsky.team
CEO of Bluesky, steward of AT Protocol. Let’s build a federated republic, starting with this server. 🌱 🪴 🌳
@frejohk.bsky.social
Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
@gelovennan.bsky.social
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@kiragoldner.bsky.social
Assistant Professor at BU CDS EconCS | Theory of CS | MD+AI+DS4SG | MD4SG co-founder Previously Columbia, UW, Oberlin. Views are mine alone. www.kiragoldner.com
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@leqiliu.bsky.social
AI/ML Researcher | Assistant Professor at UT Austin | Postdoc at Princeton PLI | PhD, Machine Learning Department, CMU. Research goal: Building controllable machine intelligence that serves humanity safely. leqiliu.github.io
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@jeffreybigham.com
Professor of HCII and LTI at Carnegie Mellon School of Computer Science. jeffreybigham.com
@arthurgretton.bsky.social
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@stevenstrogatz.com
Mathematician, writer, Cornell professor. All cards on the table, face up, all the time. www.stevenstrogatz.com
@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.
@reirab.bsky.social
CS Faculty at Mila and McGill, interested in Graphs and Complex Data, AI/ML, Misinformation, Computational Social Science and Online Safety
@jacobeisenstein.bsky.social
natural language processing and computational linguistics at google deepmind.
@stablemarkets.bsky.social
Statistician | Assistant professor @ Brown University Dept of Biostatistics | Developing nonparametric Bayesian methods for causal inference. Research site: stablemarkets.netlify.app #statsky