Graduate student
Yale University
New Haven, Connecticut
As a PhD student in Computational Biology and Bioinformatics at Yale University, I am passionate about solving the mysteries of aging and extending healthy lifespans. I am developing machine learning and deep learning tools to analyze multi-omic and multi-modal data, and to answer questions such as what biological systems drive aging, how can we measure them, and can we reverse them. I am also a Yale Cancer Biology Training program fellow, where I learn about the practical clinical issues of oncology and prepare to lead translational research on teams that include both basic scientists and clinicians.
In addition to my academic research, I am a Scientific Advisor and Venture Consultant at Longevitytech.fund, a venture capital firm that focuses on investing in companies that are innovating in the fields of AI, digital health, medical devices, and diagnostics. I provide expert advice on their potential investment opportunities, and also helped them raise their second fund by building strategies for future investments. Beyond this, I have 9 years of experience in applying data science and artificial intelligence to the biomedical space, as a scientist, engineer, product manager, team builder, academician, and entrepreneur. I have worked on projects ranging from cancer prediction to metabolic regulation, and have published in prestigious journals such as Nature. I have also received multiple honors and awards, such as the Gruber Science Fellowship, Impetus Aging Grant and more.
Friday, November 8, 2024
3:10 PM – 4:25 PM EST
Disclosure information not submitted.
