Health reporter at New Scientist.
Email: carissa.wong#newscientist.com
She/Her 🏳🌈
PostDoc health data scientist in CGEM and MRC HGU, University of Edinburgh. Modelling biomarkers in IBD.
Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social
Clinician scientist, passionate about #immunology, #genomics, #single-cell and #spatial omics, #development #organoid #dermatology. Mother, food enthusiast and film buff
The European Causal Inference Meeting - causal inference in health, economic and social science.
Scientist at @saezlab.bsky.social, Heidelberg University. EMBL-EBI Visitor. Mathematical modeling / ML & AI for biological systems
https://pablormier.github.io/
Delivering world-class bioinformatics training in data-driven life sciences virtually, and onsite at EMBL's European Bioinformatics Institute in Hinxton, UK.
www.ebi.ac.uk/training
Professor in computational cancer biology at UCL interested in disease, mutations, and aging. Funded by CRUK, MRC and Royal Society.
Personal account for science, code, music, photography! “Tired is the new awake”
Lecturer in Engineering Biology @edinburgh-uni.bsky.social
Interested in understanding and engineering cellular neighbourhoods, and coming up with funky acronyms for new synthetic biology tools.
Interested in DNA damage, mutations, adaptation and evolution.
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
Professor of Biostatistics, Epidemiology, and Computational Precision Health
University of California, Berkeley
University of California, San Francisco
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.
🇨🇦🇮🇹🇦🇲
asst. prof. of (bio)statistics at harvard—causal inference, semi-parametric estimation, machine learning, open-source software for statistics.
research webpage: https://nimahejazi.org
avid runner, concertgoer, timezone hopper
Assistant professor of biostatistics at McGill
Causal inference, high-dimensional statistics, machine learning, precision medicine, and statistical software
https://pboileau.ca/
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
PhD Student, University of Edinburgh
Group Leader at EMBL-EBI. Our group uses interdisciplinary approaches including network analysis, omics integration and mathematical modelling to study the context specific regulation of human cell signalling.
