Andrew L. Beam
Scholar

Andrew L. Beam

Google Scholar ID: SgHOsrsAAAAJ
Chief Technology Officer, Lila Sciences | Associate Professor, Harvard University
Artificial IntelligenceMachine LearningMedicine
Citations & Impact
All-time
Citations
18,497
 
H-index
39
 
i10-index
70
 
Publications
20
 
Co-authors
99
list available
Resume (English only)
Academic Achievements
  • Published numerous papers on healthcare spending, the use of machine learning in healthcare, and predictions of drug resistance; contributed to a National Academy report on AI in medicine.
Research Experience
  • Engaged in multiple research projects such as predicting drug-resistant TB, addressing adversarial attacks in medicine, and has published several related papers.
Background
  • Research interests include the application of machine learning in medical decision-making, particularly in improving patient outcomes. Specializes in blending cutting-edge machine learning techniques with rigorous statistical methods.
Miscellany
  • Blogs about topics including the impact of the Orphan Drug Act on drug pricing, conditions for using deep learning, and basic concepts of multilayer perceptrons.