Yuan Luo
Associate Professor of Preventive Medicine (Health and Biomedical Informatics) – McCormick School of Engineering and Pediatrics – Northwestern University
Invited Talk: Machine Learning for Better Medicine
Slides
Abstract:
This talk will discuss some of the broad efforts at the Luo Lab at Northwestern University Feinberg School of Medicine. The Lab is exploring Multi-modal Machine Learning, Deep Learning, Vision/Image Processing, Natural Language Processing, Fairness, Transparency, Bias, and more. Some of our recent work applies multi-modal machine learning to better understand complex diseases, target therapies, improve patient outcomes, and reduce bias in health care. The common theme of these works aims at building AI/ML models that improve both prediction accuracy and interpretability. We will also share our vision on how ML needs to evolve itself with hardware advancement in order to better assist medical applications.
Biography: Dr. Luo’s research interests include machine learning, natural language processing, time series analysis, integrative genomic analysis and big data analytics, with a focus on medical and clinical applications. He is the Chief AI Officer at the Northwestern University Clinical and Translational Sciences Institute (NUCATS) and at the Institute of Augmented Intelligence in Medicine (IAIM).
Dr. Luo earned his PhD degree from MIT EECS with a math minor. He won the prestigious American Medical Informatics Association (AMIA) New Investigator Award in 2020. He served on AMIA Membership and Outreach Committee. He has published over 100 peer-reviewed papers. His publications appear in leading journals including JAMA, Nature Medicine, Nature Biotechnology, AJRCCM etc. He has published in and/or served as AC/PC members for top AI and informatics conferences including AAAI, NeurIPS, ICLR, KDD, CVPR, ACL etc.