Ye Dai

Mathematics | Data Science | Deep Learning

Since high school, Ye Dai has been drawn to the duet of rigorous reasoning and speculative “what-ifs.” Reading Nietzsche, Camus, and Sartre sharpened her habit of following an argument to its edge; 1960s psychedelic and progressive rock tuned her ear for layered structure; and Heinlein’s futures—along with the cool neon of Blade Runner—shaped an enduring cyberpunk sensibility. That same stance now underpins her approach to artificial intelligence and deep learning.

At Sichuan University, she let that stance meet proof. Courses in analysis, algebra, and geometry honed her mathematical discipline and strengthened the theoretical footing for AI. Interdisciplinary work in physics, psychology, and computer science broadened how she models systems and inference. In parallel, she read structuralist thinkers (Foucault, Lacan), traced the history of Japanese popular music from the 1970s onward, and helped curate a campus SF club through roundtables, festivals, and by operating the club’s reading corner.

Graduate study in Berlin sharpened the tools further. At Humboldt University, she specialized in optimization—optimal control, nonlinear, and non-smooth methods—treating it as a decision calculus under real constraints. That work fed directly into PDE-governed inverse problems and robust statistics, where she explored sparse formulations for ill-posed recovery and risk-aware regression that behaves sensibly in the presence of outliers.

Over the past year, her applied focus has rested on two pillars: LLMs and deep learning techniques. At a Berlin startup, she helped design a workflow system that integrates retrieval, prompt/program synthesis, and online learning so agents improve as they operate—prioritizing precision and reliability. In industry, she contributed an end-to-end industrial image-defect pipeline: dataset design, YOLO-based detection of micro-cracks and fractures.

Beyond study and work, she gives back through libraries, book clubs, and community meal programs—small but steady ways to serve others.

Independent spirit and free thinking - it's her life philosophy. She will continue to explore artificial intelligence with rigor and an open, inclusive mindset.