David Hur is an Adjunct Faculty member with the Johns Hopkins University Whiting School of Engineering, where he teaches Artificial Intelligence for Biology. He is also an NVIDIA Deep Learning Institute (DLI) Certified Instructor and NVIDIA University Ambassador.
The course focuses on how modern AI methods are applied to cancer detection and drug candidate development, with an emphasis on reproducible computation, biological interpretation, and real-world translational relevance. Students will work hands-on with AI workflows, learning how data, models, and decisions connect in biomedical and healthcare settings.
Looking forward to engaging with students and the broader AI + biology community this term.
David’s work lies at the intersection of artificial intelligence, genomics, and healthcare innovation, focusing on how machine learning can unlock meaning from complex biological data and translate it into real-world impact. His interests span AI-driven genomics, multi-omics analysis, and the design of intelligent systems that support early disease detection and personalized care.
He has advanced training in computer science and artificial intelligence through the Georgia Institute of Technology and is pursuing an MBA at NYU Stern School of Business, where he focuses on healthcare innovation, technology strategy, and entrepreneurship.
In parallel with his academic role, David is the founder of an early-stage venture exploring AI-enabled genomic and multi-omics platforms. Through teaching, research, and entrepreneurship, he is committed to helping the next generation of engineers and scientists bridge cutting-edge AI with meaningful biological and clinical applications.
David is passionate about making advanced AI technologies accessible to researchers, students, and healthcare professionals, enabling them to leverage accelerated computing and modern machine learning techniques to solve complex challenges in biology and medicine.
Education History
- Doctor of Pharmacy, Pharmaceutical Sciences, State University of New York
Work Experience
Adjunct Faculty, Johns Hopkins University