Iek-heng Chu is a machine learning engineer with 13 years of experience and a Ph.D. in Physics, now building production AI at Meta after leading ML and data science efforts across industry and academia. He has 6+ years focused on deep learning and statistical ML, with demonstrated impact in finance and consumer products—most notably designing multimodal models to identify 200k high-net-worth customers from 230M records and accelerating audio-driven avatar dubbing via TensorRT. His background spans materials informatics research at UC San Diego, where he created predictive models and contributed tooling to the pymatgen ecosystem, to engineering scalable multi-GPU data pipelines and diffusion-model training infrastructure. Comfortable moving models from research to production, he combines strong algorithmic foundations with hands-on systems work in multimodal, generative, and real-time inference contexts. Based in the San Francisco Bay Area, he brings a physicist’s rigor to large-scale ML problems and a track record of turning complex multimodal signals into deployable, high-throughput solutions.
13 years of coding experience
13 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at Tsinghua University
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of Florida
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