Rachel Leah Childers
Econometrics, Statistics, Computational Economics, etc
🏳️⚧️
http://donskerclass.github.io
@jonsteinsson.bsky.social
Economics professor at UC Berkeley. https://eml.berkeley.edu/~jsteinsson/
@ylvamoberg.bsky.social
Researcher @sofi.su.se 🏳️🌈 Econ PhD. Same-sex couples' transition to parenthood. Family policy. Health & earnings impact of gender transition.
@asheshrambachan.bsky.social
econometrics | machine learning https://economics.mit.edu/people/faculty/ashesh-rambachan
@bitsyperlman.bsky.social
Economic Historian at the Census. 19th & 21st C innovation, sci of sci, urban/spatial, info spread. All views are my own or expressed for rhetorical exposition. Posts before 2025 were imported. (they/them) Brookline, MA
@dritzwoller.bsky.social
Ph.D Candidate, Stanford GSB Econometrics, Causal Inference, Machine Learning https://davidritzwoller.github.io/
@arthurgretton.bsky.social
@cmatthes.bsky.social
Econ Professor @ ND. Macroeconomics and (mainly Bayesian) Econometrics
@pbousquet.bsky.social
Econ PhD @ UVA | mostly sharing macro research from twitter until people are more active here | pbousquet.com
@meganstevenson.bsky.social
economist & legal scholar studying criminal justice issues. professor of law at UVA. research: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=2420348 webpage: https://www.law.virginia.edu/faculty/profile/ms5cj/2914912
@giocompiani.bsky.social
Economist at Chicago Booth, interested in quantitative marketing and industrial organization. Current focus: using unstructured data + ML to model consumer behavior.
@panzhao.bsky.social
Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@gabrielpeyre.bsky.social
@pierrealquier.bsky.social
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
@serdarozkan.bsky.social
Economic Policy Advisor at St. Louis Fed. Opinions expressed my own. www.serdarozkan.me
@macartan.bsky.social
WZB Berlin, Humboldt University, TCD https://macartan.github.io/ Politics, conflict, inequality, political economy of development, causal inference
@antoniofatas.bsky.social
Professor of Economics at INSEAD. Interested in global macroeconomic issues. 🇺🇦🇪🇺
@jungholee.bsky.social
PhD student in Statistics & Data Science at CMU Causal inference, machine learning, nonparametric statistics with applications to social science jungholeestat.github.io
@corinamommaerts.bsky.social
economist, associate professor at university of wisconsin - madison. https://sites.google.com/site/corinamommaerts
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@charlesm993.bsky.social
Research fellow at the Flatiron Institute and Stan developer. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
@stablemarkets.bsky.social
Statistician | Assistant professor @ Brown University Dept of Biostatistics | Developing nonparametric Bayesian methods for causal inference. Research site: stablemarkets.netlify.app #statsky
@mcuellar.bsky.social
Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
@patrickkidger.bsky.social
I do SciML + open source! 🧪 ML+proteins @ http://Cradle.bio 📚 Neural ODEs: http://arxiv.org/abs/2202.02435 🤖 JAX ecosystem: http://github.com/patrick-kidger 🧑💻 Prev. Google, Oxford 📍 Zürich, Switzerland
@mkearnsphilly.bsky.social
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@ianws.bsky.social
Postdoc @ UC Berkeley | statistics, probability, machine learning, privacy 🇨🇦 ianws.com
@bengolub.bsky.social
economics and computer science professor at Northwestern bengolub.net social and economic networks originally from Ukraine
@alecmcclean.bsky.social
Postdoc @ NYU Grossman; stats / ML + causal inference https://alecmcclean.github.io/
@keenancrane.bsky.social
Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. https://www.cs.cmu.edu/~kmcrane/
@ethanepperly.bsky.social
PhD candidate in applied math at Caltech interested in computational linear algebra he/him
@jaap.abbring.org
Professor of econometrics at Tilburg U. Managing editor of EctJ. Fellow of IAAE, ES, and CEPR. https://jaap.abbring.org
@davidbeckworth.bsky.social
Senior Research Fellow at the Mercatus Center || Podcast Host at http://macromusings.libsyn.com || Former U.S. Treasury Economist || Micah 6:8
@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