Summary
Pan Lu is a Postdoctoral Scholar at Stanford with a PhD in Computer Science from UCLA and roughly a decade of research and industry experience bridging deep learning and NLP. He has moved fluidly between academia and industry research roles—interning or collaborating with Microsoft, Adobe, AI2, Qualcomm, Amazon, and Bloomberg—bringing production-minded rigor to foundational ML problems. His recent trajectory includes multi-institutional research fellowships and a stint as a visiting researcher at Stanford before transitioning to a postdoc, signaling both strong collaboration skills and rapid adoption of emerging topics. Pan also has teaching experience in NLP and a track record of contributing to high-impact research teams, suggesting he pairs technical depth with clear communication and mentorship. An under-the-radar strength is his ability to translate dissertation-level research into applied projects alongside industry partners, making him effective at moving ideas from paper to practice.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Tsinghua University
University of California, Los Angeles