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