CTML - Center for Targeted Machine Learning and Causal Inference
CTML, at UC Berkeley, is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine.
https://linktr.ee/ctml_ucberkeley
@berkeleylab.lbl.gov
Official account of Lawrence Berkeley National Laboratory (LBNL), a U.S. Department of Energy national lab. newscenter.lbl.gov
@mcarone.bsky.social
Professor of Biostatistics, University of Washington School of Public Health. Affiliate Investigator, Fred Hutch Vaccine and Infectious Disease Division. Causal inference, ML, survival analysis, statistical epi, viruses and vaccine science. 🇨🇦🇮🇹🇦🇲
@maya-petersen.bsky.social
Professor of Biostatistics, Epidemiology, and Computational Precision Health University of California, Berkeley University of California, San Francisco
@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
@pboileau.bsky.social
Assistant professor of biostatistics at McGill Causal inference, high-dimensional statistics, machine learning, precision medicine, and statistical software https://pboileau.ca/
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@arxiv-stat-ml.bsky.social
source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@amalaa.bsky.social
Assistant Professor at UC Berkeley and UCSF. Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@idiaz.bsky.social
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@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
@ucjointcph.bsky.social
CPH is pioneering a new discipline joining the power of AI, clinical/public health excellence, and equity. A joint program bridging UC Berkeley and UCSF.
@aschuler.bsky.social
Assistant Professor of Biostatistics UC Berkeley semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice Modern Causal Inference Book: alejandroschuler.github.io/mci/
@avifeller.bsky.social
@uofcalifornia.bsky.social
Official account of the University of California system. 10 campuses, 6 academic health centers, 3 national laboratories and a network of agricultural and natural research centers. And 71 Nobel Prizes, not that we're counting.
@berkeleypublichlth.bsky.social
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app