Research

My current research centers on quantum computing methods and, in particular, quantum machine learning algorithms and their potential applications in biological and medical research (with an eye towards clinical translation). I am also a core developer for Fairhub.io – a findable, accessible, interoperable, reproducible (FAIR) biomedical data sharing platform, and an investigator for AI-READI, a data generation project of Bridge2AI, an NIH Common Fund program. Central to this work has been my design and development of AI-READI’s data watermarking system, which included the development of a suite of cryptographic methods. This system, coupled with a novel AI data sharing license, has been critical to enabling the ELSI-aligned dissemination of the AI-READI’s dataset and, more generally, the development of ethical AI models for diabetes research leveraging sensitive biomedical data.

For an up-to-date look at my research, checkout my Google Scholar.