Florence D. Jiang

I work on sequential data problems, from particle trajectories and synthetic imagery to language, speech, and financial data.

My research has focused primarily on streaming speech systems — recognition, translation, and synthesis — and on the broader problems that recur across sequences: long-range temporal structure, incremental inference under latency constraints, and evaluating systems before the full sequence is available.

Over time, my focus has shifted toward production AI: turning current research into systems that remain fast and reliable at scale. Most of what I have published grew out of something that also had to run in production.

I previously worked in the Bloomberg AI Group and now apply my experience in speech LLMs and production AI systems to financial data at Squarepoint Capital.

I hold an M.S. in Data Science from New York University’s Courant Institute of Mathematical Sciences.