Summary
Ray Liu is a research-focused machine learning engineer with 8 years of experience bridging deep learning and quantitative science, holding a Master's in Computational Biology from Carnegie Mellon and a BS in Mathematics and Physics from Tsinghua. He has applied generative LLMs and fine-tuning techniques to hard natural-science problems—from de novo RNA design and mRNA sequence generation at Strand Therapeutics and The University of Tokyo to single-cell multi-ome statistical learning at CMU. Equally comfortable in NLP and biology, Ray has contributed to open research projects like TorchDrug and built scalable ML systems (e.g., an Oracle Bone Script recognition platform) during his undergraduate work. His profile reflects a pattern of turning theoretical insight into practical models that predict expression, degradation, or structural outcomes in biological sequences. Based in the Greater Pittsburgh area, he pairs rigorous math/physics training with a taste for interdisciplinary problems and an offbeat passion for anime that keeps his creativity energized.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Physics (CS research track), Magna cum laude, Bachelor of Science - BS, Mathematics and Physics (CS research track), Magna cum laude at Tsinghua University
Master's, Computational Biology, Master's, Computational Biology at Carnegie Mellon University
English, Japanese, Chinese