Medicine
Showing 2,301-2,310 of 2,397 Results
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Allen Wu
Principal Engineer At Eli Lilly And Company, Medicine - Med/Cardiovascular Medicine
BioAllen Wu is a machine learning engineer and researcher specializing in large-scale AI/ML infrastructure for biomedical and pharmaceutical applications. He contributed to the development of TuneLab, an Eli Lilly AI/ML platform supporting federated drug discovery with external biotech partners, and Model Gateway, an MLOps inference platform for internal model-driven drug discovery, during his tenure at Eli Lilly. He holds dual MS degrees in Computer Science (National Chiao Tung University, Taiwan) and Software Engineering (San José State University), with publications in both VLSI/EDA and Pharma AI, and is an IEEE peer reviewer and NSTC LEAP Fellow (hosted at Synopsys). His current research interests focus on the intersection of iPSC biology and AI/ML pipelines for precision medicine.
LinkedIn Profile: https://www.linkedin.com/in/yswu123
Google Scholar Profile: https://scholar.google.com/citations?user=ymttL5gAAAAJ -
Min Xie
Postdoctoral Fellow, Medicine - Primary Care and Population Health
BioCausal inference using natural experiments with focuses on public health policy and medical intervention.
Also work on development economics topics of financial and education intervention.
PhD in economics, Heidelberg University
personal webpage: https://minxie.org -
Xiaojing Xing
Masters Student in Clinical Informatics Management, admitted Summer 2025
BioXiaojing Xing is a health tech founder and product leader working at the intersection of medicine, business, and technology. She has driven AI-powered innovations across hardware and software—building from MVP to scale at both startups and global tech companies.
At Tencent, she led digital health platforms serving over 30 million users and launched AI tools that empowered 200,000+ physicians. Later, as Chief Product Officer at MindLax, she brought a neurofeedback sleep device from concept to market, growing it to thousands of users through data-driven iteration and user empathy.
Recognized on Forbes 30 Under 30 China, Xiaojing blends product management, global go-to-market strategy, and health innovation expertise. She is currently focused on applying AI to consumer health—creating intelligent, accessible technologies that make wellbeing part of everyday life.
Xiaojing holds degrees from Stanford University School of Medicine, Harvard T.H. Chan School of Public Health, and Peking University Health Science Center.
