Osman A Mian
www.sites.google.com/view/mian/ | Post Doc @ Institute for Artificial Intelligence in Medicine at Uniklinikum Essen | Previously Ph.D. Student. Causal Inference and Discovery @CISPA Helmholtz Center for Information Security
@50823zimmer.bsky.social
Professor at TU Dortmund University | We do research on exercise immunology and tryptophan metabolism in health and disease https://scholar.google.de/citations?user=j8yCuPcAAAAJ&hl=de
@uni-saarland.de
Herzlich willkommen beim offiziellen Account der Universität des Saarlandes. Impressum: https://www.uni-saarland.de/social-media-impressum, Datenschutz: https://www.uni-saarland.de/datenschutzerklaerung.html
@muneebaadil.bsky.social
Stats PhD student @ UCL. Interested in causality, active learning and decision making. Previously at CISPA, MPI-INF, and Saarland University. https://muneebaadil.github.io
@mehdirhasan.bsky.social
Editor and CEO, Zeteo Author, ‘Win Every Argument’ British-American
@jonasseng.bsky.social
PhD candidate at AIML Lab at TU Darmstadt. Working on AutoML to democratize AI.
@akomandml.bsky.social
CS PhD student @UArkansas EECS interested in causality, generative modeling, and applications in trustworthy AI Website: akomand.github.io LinkedIn: https://www.linkedin.com/in/akomand
@hausofdecline.bsky.social
Hank of Decline Patreon - http://patreon.com/hausofdecline Store - https://hausofdecline.bigcartel.com/
@heybennyjohnson.bsky.social
Daily posts on Tech, Business, and Culture. Founder and CEO of Futurebyte Group.
@morriswolf.bsky.social
PhD on reversible polymers at ETH Zurich, Composer, 🌈 Science, art and music morriswolf.ch
@smntc.bsky.social
Researcher & faculty member @DPKM dedicated to the field of AI, with the focus on knowledge technologies (knowledge graphs, semweb, RAG) & their use in e-gov, skills matching, research ecosystem, digital humanities and education. Partner @km-a.bsky.social.
@kenkoonwong.bsky.social
data science hobbyist #rstats. infectious disease provider. lazy gardener. tai chi practitioner. life long learner. views are my own. RT or like != endorsement. https://www.kenkoonwong.com/
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@causalscience.org
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@jermainkaminski.bsky.social
Assistant Professor in Entrepreneurship & Innovation 🇳🇱 Maastricht University. Writing about entrepreneurs and (causal) machine learning. UWH, RWTH, MIT. Co-Founder http://causalscience.org, Team @AOM_TIM.
@p-hunermund.com
Professor of Technology and Economic Policy | Co-founder of causalscience.org | Associate Editor at Journal of Causal Inference | Executive Team at Academy of Management TIM Division
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@causalhuber.bsky.social
Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg/Freiburg (Switzerland) - causal analysis, statistics, econometrics, machine learning...and telemarking
@ehudk.bsky.social
Causal Inference 🔴→🟠←🟡. Machine Learning 🤖🎓. Data Communication 📈. Healthcare ⚕️. Creator of 𝙲𝚊𝚞𝚜𝚊𝚕𝚕𝚒𝚋: https://github.com/IBM/causallib Website: https://ehud.co
@marcdotson.com
Causal Inference | Bayesian Statistics | Machine Learning // Husband, father, Latter-day Saint, assistant professor of data analytics, nerd. Blog: occasionaldivergences.com | GitHub: github.com/marcdotson
@raulpl25.bsky.social
Data scientist interested in causal inference, Bayesian statistics and data visualization.
@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
@damiwulf.bsky.social
Data Science @ Etsy, Stats PhD from UCLA, causal inference, publishing under David Ami Wulf
@judithabk6.bsky.social
Researcher at Inria Saclay, team Soda working on machine learning and causal inference for health data
@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
@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.
@sherrirose.bsky.social
Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@complemental.bsky.social
Computer science PhD — causal discovery for Earth science. Also interested in trustworthy ML. Born and raised in New Mexico. 🎶Trying to make a dollar out of what makes cents. [Machine] Learn to Save Earth 🌎🌏🌍
@dmachlanski.bsky.social
Research Associate in Causal AI at The University of Edinburgh (https://www.chai.ac.uk/). Causal AI for healthcare/medicine. CS PhD at the University of Essex. Former Software Developer.
@mitpress.bsky.social
Committed to the daily re-imagining of what a university press can be since 1962. Website: https://mitpress.mit.edu // The Reader (our home for excerpts, essays, & interviews): https://thereader.mitpress.mit.edu
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@adeelrazi.bsky.social
Computational Neuroscientist, NeuroAI, Causality. Monash, UCL, CIFAR. Lab: https://comp-neuro.github.io/
@johandh2o.bsky.social
PhD Student at UiO, Researcher at NIPH, Fulbright Scholar, Statistician, Economist, Industrial Engineer. Web: johandh2o.github.io
@philippbach.bsky.social
Post-doc: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
@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
@oacarah.bsky.social
Professor Practical Causal Inference Lab Co-Director **Views are mine** #Epidemiology #EpiSky #CausalInference #CausalSky #PublicHealth #StatsSky #Stats #Medsky
@milenapavlovic.bsky.social
Postdoc at the University of Oslo | machine learning, simulation, causal inference, bioinformatics, adaptive immunity https://www.mn.uio.no/ifi/english/people/aca/milenpa/index.html
@jessicaschrouff.bsky.social
Director of Responsible AI @GSK | Interested in Responsible AI, AI for healthcare, fairness and causality | Prev. Google DeepMind, Google Health, UCL, Stanford, ULiege | WiML board/volunteer. She/her.
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@valik-melnychuk.bsky.social
PhD Candidate at Institute of AI in Management, LMU Munich causal machine learning, causal inference
@rickardkarlsson.bsky.social
PhD student working on causal inference and ML @ TU Delft rickardkarlsson.com