معرفی
Nima Aghaeepour is a Professor at Stanford University School of Medicine with primary appointment in the Department of Anesthesiology, Perioperative and Pain Medicine and courtesy appointments in Pediatrics and Biomedical Data Science. His laboratory develops machine learning and AI methodologies for translational medicine, leveraging multiomics studies, wearable devices, and electronic health records to address global health challenges.
His educational background includes:
- B.Sc. in Computer Science, University of Tehran
- Ph.D. in Bioinformatics, University of British Columbia
- Postdoctoral Fellowship, Stanford University
Research focuses on machine learning and artificial intelligence applied to clinical and biological data, with specific expertise in multiomics integration, wearable sensor analytics, and electronic health record mining. His interdisciplinary work bridges computational science with anesthesiology, pediatrics, and population health to solve pressing global health issues through data-driven innovation.
Scientific recognition includes:
- Biodesign Faculty Fellow
- SPARK fellow
As an advisor, he actively funds and mentors trainees in entrepreneurship through Stanford's Ignite program, emphasizing that "the next generation of successful academic life scientists will be both multidisciplinary and entrepreneurial." He serves on multiple scientific advisory boards and co-founds stealth-mode startups while encouraging students to leverage university resources for commercialization.
His laboratory operates at the intersection of clinical medicine and data science, developing AI tools for real-world healthcare applications. Personal pursuits include piloting acrobatic aircraft, wingsuiting, piano performance, and studying Mandarin Chinese alongside activities like mountain climbing and target shooting.
