Computational Biologist. Mostly in English, sometimes in French. #NoPasaran
We fund cutting-edge scientific research across multiple Branches and Centers to better understand cancer and eliminate the suffering caused by the disease.
Human biology and cancer therapeutics group @MSKCancerCenter
+ @WeillCornellGS + @TPCB_NYC + @TriIMDPhD | + a bit of @oleg8r | Views our own | https://alexkentsis.net
Boeing Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Regulatory genomics, machine learning, networks, systems biology, evolution
Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
Book: https://thecon.ai
Web: https://faculty.washington.edu/ebender
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
My lab works on genome evolution, using yeast genetics and genomics. Chair, Department of Genome Sciences at University of Washington.
Lab website: https://depts.washington.edu/dunhamlab/
Statistical geneticist. Associate Prof at Dana-Farber / Harvard Medical School.
www.gusevlab.org
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai
He/him/his
machine learning and functional/statistical genetics. Associate Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
Knowledge based biomedical data science, artificial intelligence for discovery in molecular biomedicine, computational bioethics, theory of mattering. University of Chicago / Big Island HI
Scientist interested in all aspects of brain and behavior. Loves to talk math and data. Prof of Biology at University of Washington, Seattle. Mom of 2 epsilons; paints in watercolor here, there, and anywhere.
AI4Science researcher. Associate Professor @CSHL. My lab advances AI for genomics and healthcare!
http://koo-lab.github.io
physicist, interested in biology --- Assoc. Prof. of physics @UW
(Seattle)
