Yu-chia Chen is a Research Scientist at Meta Superintelligence Lab with 11 years of experience building ML systems spanning manifold learning, temporal graph modeling, and large language models for real-world products. Having completed a PhD in Electrical Engineering at the University of Washington, Yu-chia translated deep theoretical work on geometric data analysis and scalable graph Laplacians into applied research roles at Microsoft and Meta, including LLM-driven ad text generation that improves advertiser performance. Their background uniquely bridges rigorous math (topological feature discovery, k-Laplacian decomposition) and production-scale modeling (dynamic stochastic block models for networks with tens of millions of nodes). Comfortable moving between academic publications and product impact, they have a track record of taking novel algorithms from theory to systems that scale. Based in Seattle, they bring both broad interdisciplinary curiosity and hands-on experience shipping ML research into latency- and scale-sensitive environments.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at University of Washington
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at National Taiwan University
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