Published in top journals such as Nature Machine Intelligence, Nature Medicine, Journal of Investigative Dermatology; received patents like US 12001942B2 (Biological Neuron to Electronic Computer Interface); participated in numerous international conferences and workshops, including ECCV 2024, ICCV 2023, ICLR 2023, etc.
Research Experience
Serves as a Principal Researcher at Microsoft, involved in multiple research projects, including co-founding the International Skin Imaging Collaboration (ISIC) challenges, which have attracted over 4,000 competitors with more than 114,000 total submissions. Developed state-of-the-art evaluation protocols that exposed previously unidentified errors, setting the stage for AI system performance and integration in dermatology.
Education
Ph.D. in Physiology from Weill Medical College of Cornell University (2010); M.Eng. in Computer Science from Cornell University (2005); B.S. in Computer Science from Columbia University (2004).
Background
Principal Researcher at Microsoft with expertise in computer vision and healthcare. Published in top venues such as CVPR, ICCV, ECCV, ICLR, MICCAI, AAAI, Nature Medicine, Lancet Oncology. Specializes in multimodal vision+language learning, transformer architectures, few-shot learning, video analysis, fairness, explainability, segmentation, and object detection. In healthcare, focuses on MRI physics, data acquisition/reconstruction, medical image analysis, electroencephalography, cardiac MRI, dermatology, and human physiology.
Miscellany
Personal interests include astrophotography, has written an astrophotography tutorial.