• Single-handedly oversaw portfolio of >120 early-stage venture-backed startup companies• Performed investment selection, investment due diligence, financial statement analysis, investor reporting, and advising portfolio companies

• Created new cancer diagnostic tests using machine learning under Translational Research• Independently created revenue-generating algorithms in the 3 main branches of machine learning: classification, unsupervised clustering, and regression (used as screening device in clinical trial NCT03712930)• Independently developed deep neural networks with TensorFlow and deployed on AWS • Work presented in 10 journal publications, 35 conference abstracts and posters

• Identified, evaluated, and selected investment projects for a company’s product line expansion• Developed market entry strategies, generated revenue models, negotiated IP licensing contracts• Provided market updates and financial projections for senior management and investors

• Provided experimental design and data analysis for clinicians involved in medical research• Recognized in three research papers published in the American Journal of Transplantation• Designed experiment for a multi-center clinical study on circulating biomarkers & transduction networks

• Contributed to research on the progression of mutations found in advanced-stage breast cancer• Designed experiment to observe force-sensitive protein activity through specialized instrument• Performed range of molecular cloning, recombinant DNA, and human cell culture techniques

• Performed data entry for histocompatability laboratory• Build Excel database to screen test result accuracy• Presidential Volunteer Award for > 100 hours allocated