Research scientist at @GoogleDeepMind passionate about AI, genomics and biology.
Professor at Johns Hopkins Biomedical Engineering and CS, Director Malone Center for Engineering in Healthcare, Research Director (Strategy and Partnerships) Data Science and AI Institute
https://www.cell.com/AJHG/home
Howard Hughes Medical Institute (HHMI) believes in the power of individuals to advance science through research and science education, making discoveries that benefit humanity.
Reporting from the frontiers of health & medicine.
neuroscientist, psychiatrist, writer
optogenetics.org
karldeisseroth.org
https://www.amazon.com/Projections-Story-Emotions-Karl-Deisseroth/dp/1984853694
Computational Biology, Genomics, Machine Learning, AI. Assistant Professor at UTSW
Studying neuronal resilience and regeneration, visual development, and neurobiology
Assistant prof at UCLA using the Bayes for the genomes https://pimentellab.com
Genomicist, computational biologist. Assistant professor @ MGH, HMS. Associate member @ Broad Institute
https://klab.is
Computational biology & statistical genetics. 2nd year graduate student @ Baylor College of Medicine
https://jasontan-code.github.io
Scientist. Group leader at the Sanger Institute, Cambridge UK. Somatic mutation and selection in normal tissues, cancer and ageing.
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
Russ B Altman, MD, PhD. Professor at Stanford. Host of podcast “The future of everything” from Stanford Engineering.
https://rbaltman.people.stanford.edu
and
https://engineering.stanford.edu/news/collection/future-everything-podcast
Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
Cancer biologist interested in host characteristics; advocate for equitable research environments; associate professor at SDSU; posts my own
#MD, #PhD | #Pediatrics | #Medical #Genetics | #Human #Genetics | #Cardiovascular | #Congenital | #Genome #Sequencing | #HealthEcon | #Causal #Inference
belmontgenetics.org
