معرفی
Xiuye Chen is a Senior Research Scientist in Neuroscience at Yale University, affiliated with the Yale School of Medicine. He holds a PhD in Biology from Harvard University and a BSc in Biochemistry from Hong Kong University of Science & Technology. His research focuses on leveraging AI and machine learning to advance neuroscience, particularly in understanding brain-wide activity patterns in zebrafish and genomic foundation modeling. He has industry experience at Amazon Alexa AI (developing acoustic event detection models) and a biotech startup (precision cell manufacturing pipelines).
Teaching roles include part-time lecturer at Northeastern University and courses at Yale's Computer Science Department, such as CPSC 776 (Industrial AI Applications) and CPSC 171 (Introduction to AI Applications). His work includes US patents for AI systems and collaborations on science infrastructure automation.
Research highlights:
- Multi-lab leadership analyzing larval zebrafish sensorimotor transformations
- Acoustic event detection innovations for Alexa Guard and Astro robots
- Cross-functional development of production-ready ML systems
Professional contributions include guest lectures in Yale's AI seminar series, where he invites industry experts to discuss topics like autonomous driving perception, biotech ML applications, and recommender systems. Currently affiliated with the Sestan Lab for genomic research.
