Lorin Crawford
Scholar

Lorin Crawford

Google Scholar ID: ssZy1zYAAAAJ
Microsoft Research
StatisticsMachine LearningGeneticsCancer GenomicsTopological Data Analysis
Citations & Impact
All-time
Citations
1,923
 
H-index
21
 
i10-index
33
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Featured on Forbes 30 Under 30 and The Root 100 Most Influential African Americans list; received an Alfred P. Sloan Research Fellowship, a Packard Foundation Fellowship for Science and Engineering, a COPSS Emerging Leader Award, and the Annie T. Randall Innovator Award from the Biometrics Section of the ASA; published several preprints.
Research Experience
  • Currently a Principal Researcher at Microsoft Research. Completed PhD dissertation titled 'Bayesian Kernel Models for Statistical Genetics and Cancer Genomics' as a Duke Dean’s Graduate Fellow and NSF Graduate Research Fellow, which was awarded the Leonard J. Savage Award in Applied Methodology.
Education
  • PhD from the Department of Statistical Science at Duke University, co-advised by Sayan Mukherjee and Kris C. Wood; Bachelor of Science degree in Mathematics from Clark Atlanta University.
Background
  • Research interests include developing interpretable machine learning and AI algorithms to study how genetic effects and gene-by-environmental interactions influence complex traits and disease progression. Leads Project Ex Vivo, a collaborative effort between Microsoft and the Broad Institute focused on defining, engineering, and targeting cell states in cancer.
Co-authors
0 total
Co-authors: 0 (list not available)