Summary
Te-lin Wu is a research-driven Member of Technical Staff and NLP/AI specialist with a PhD from UCLA and over a decade of experience spanning multimodal representation learning, grounded instruction understanding, and alignment for conversational agents. He has contributed to cutting-edge projects at Character.AI, Meta Reality Labs, Google, Adobe, and Amazon, and now works on early-stage video AI in Menlo Park. Te-lin blends deep academic rigor—mentored by Prof. Nanyun Peng and with prior CV work at Stanford—with hands-on applied research building end-to-end alignment data flywheels and multimodal LLM grounding. His background uniquely spans RF and hardware research to large-scale ML systems, giving him a practical edge in bridging low-level signal problems and high-level language-vision models. Colleagues benefit from his track record of moving ideas from academic publications into production-facing research at leading labs. He maintains a public portfolio at https://telin0411.github.io/ showcasing projects and publications.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Southern California
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at National Tsing Hua University
University of California, Los Angeles
Master's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at Stanford University
English, Chinese