Enrique Garcia-Rivera

VP of AI, Bullfrog AI

Enrique is a technical professional at the intersection of computer science and biology, leveraging data science to solve problems in drug discovery and healthcare. He has led various high-throughput screening efforts at the Broad Institute, most notably for oncology and modulators of protein degradation. At nference, Enrique worked on combining orthogonal data types (-omics, literature, claims, EHR) for use in analytical challenges across the drug development cycle, from early-stage discovery and target identification to post-launch life cycle management. Most recently, he was at ROME Therapeutics, where he developed a cloud-based platform for the quantification of genomic repeats in clinical sequencing data, with a focus on oncology and autoimmune disease. Enrique holds a Ph.D. from Harvard University in Biological and Biomedical Sciences.

Talk to Enrique about these topics and more: 

  • Machine learning and artificial intelligence for drug discovery 
  • Natural language processing (NLP) in healthcare 
  • Precision medicine with genomics and clinical data 

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