Summary
Junmo An is a Senior Research Scientist and research lead based in Cambridge, MA with over a decade of experience bridging academic research and product-grade software development in medical imaging, BCI, robotics, and wearable telerehabilitation. He has led development of FDA- and EU-compliant ECG diagnostic algorithms and production-ready signal processing pipelines at Philips while previously running interdisciplinary labs that combined EEG/fNIRS, IMU, and smartphone platforms for fall prevention and remote rehabilitation. His background spans embedded C/C++ real-time systems to end-to-end deep learning, reflecting rare fluency from low-level firmware to regulatory V&V documentation. Junmo’s research on autonomously updating BCIs and prosthetic control demonstrates a practical focus on closed-loop, learning-enabled systems rather than only offline analysis. Colleagues describe him as insatiably curious (his GitHub bio reads “沉迷学习无法自拔” — addicted to learning), which drives both collaboration with clinical partners and continuous translation of novel algorithms into deployable healthcare software. He holds a PhD in Computer Science and combines rigor in computational neuroscience with hands-on product engineering.
10 years of coding experience
14 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of Houston
M.S. Computer Science & Engineering, M.S. Computer Science & Engineering at Konkuk University
Korean, English