Empower an End-to-End Scalable and Interpretable Data Science Ecosystem Using Statistics, AI and Domain Science

Explore a keynote address from the KDD 2024 conference featuring Harvard University's Professor Xihong Lin. Delve into the development of an end-to-end scalable and interpretable data science ecosystem that leverages statistics, AI, and domain science. Gain insights from Lin's extensive experience in developing statistical and machine learning methods for analyzing complex genomic and health data, including large-scale whole genome sequencing studies and multi-ethnic biobanks. Learn about the applications of these methods in major research initiatives such as the Trans-Omics Precision Medicine Program and the NIH All of Us Program. Benefit from the expertise of a National Academy of Sciences and National Academy of Medicine member as she shares her perspective on empowering data science through interdisciplinary approaches.

KDD 2024 - Keynote: Empower an End-to-End Scalable and Interpretable Data Science Ecosystem using...