Summary
Lavender Jiang is a research scientist who builds clinically deployed, domain-specialized AI—having led NYUTron, the first clinical-note language model published in Nature and spun into a startup. With eight years of technical experience spanning robotics, signal processing, and NLP, she bridges ML theory and hospital-grade production systems, owning data ETL, large-scale pretraining, and HPC operations. Her work demonstrates that compact specialized models can outperform giant generalists and highlights real-world safety risks like re-identification in scrubbed notes, earning fellowships and an Apple Seed Grant. As a team lead and mentor, she has shaped lab culture, staffed engineering teams, and guided students to top-tier workshops, while her background in controls and embedded systems gives her unusual operational fluency for clinical ML deployment.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at New York University
Bachelor's degree, Electrical and Computer Engineering (Honor) and Mathematical Science, Bachelor's degree, Electrical and Computer Engineering (Honor) and Mathematical Science at Carnegie Mellon University
English, Chinese, Chinese