Building on past investment experiences to invest venture capital into startup companies founded by underrepresented founders.

Creating physics-based models to make therapeutic discovery more efficient.

Conducted deep tech due diligence. Created investment thesis centered around the development of software for biotech companies and institutions.

Worked under Dr. Christine Peterson in the department of biostatistics. Used population level statistical analysis to determine the connection between the gut microbiome and late stage pancreatic cancer outcomes.

Developed an investment thesis centered around the use of artificial intelligence for inefficiencies in drug discovery and development.

Worked with Dr. Andrew Emili to develop a pipeline for wet lab scientists. The pipeline handled raw data collected from CETSA experiments and created insights concerning potential drug candidates.

Introduced to the fundamentals of biomedical research at Cornell University's medical school, Weill Cornell. Constructed an NSF grant, proposing the development of a novel gene regulatory network utilizing both DNA methylation and histone modifications.

First undergraduate student under Dr. Xiaoqian Jiang. Developed dynamic and interactive models to aggregate and display information related to early COVID-19 treatment options. Developed AI models to determine key metrics for the early diagnosis of sepsis in conjunction with physicians from Duke Medical School.

Designed travel safe device for the transportation of missile prototypes for off site testing.