Summary
Joseph Ye is a software engineer and graduate researcher at MIT with nine years of hands-on experience building machine learning, embedded, and cloud systems. He applies deep learning to engineer better plant Rubisco enzymes in the Shoulders Lab while drawing on a diverse engineering background spanning Android/iOS native development, C/C++/C#, Linux, and data-heavy research across EEG, sleep, and bio-signal projects. His roles at MIT Media Lab, Koch Institute, and Eli Lilly showcase a pattern of turning noisy physiological and experimental data into validated, production-ready pipelines and ML-driven tooling. He has product and startup experience as a lead engineer at Tally and brief engineering stints at AWS and Eli Lilly that emphasize scalable data pipelines and automation. Based in Cambridge, MA, Joseph blends academic rigor from MIT with practical deployment experience, notably using cross-disciplinary skills (hardware design, signal processing, and mobile/NDK development) to accelerate biological and clinical research.
9 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Master of Engineering - MEng at Massachusetts Institute of Technology