About Ricky
Applied mathematics, made useful.
I’m a Los Angeles-based data scientist with a foundation in statistics, optimization, and machine learning—and a habit of asking what the evidence actually supports.
Rui “Ricky” Sun
Rui “Ricky” Sun is a Los Angeles-based data scientist and a graduate of UC Irvine’s Applied and Computational Mathematics program. His work combines statistical reasoning, machine learning, and decision-focused evaluation.
At UC Irvine, he built end-to-end PyTorch and simulation workflows for metasurface inverse design, including data generation, conditional VAE training, controlled model comparison, and RCWA-based physics evaluation. His product work spans ProofRound for evidence-grounded interview preparation, Nepholio for ADPKD nutrition tracking, and contributions to Realy, a multi-table analysis system from the UCLA Trustworthy AI Lab.
Ricky is pursuing early-career data science roles where rigorous experimentation, reproducible analysis, and clear technical communication are central to the work.
Research, modeling, and business context.
Scientific Machine Learning Research
Built data and model workflows for metasurface inverse design, designed controlled comparisons across training and initialization strategies, and connected model outputs to physics-based evaluation.
Control Theory & Computational Modeling
Translated optimal-control theory into reproducible Python and MATLAB simulations for constrained and dynamical systems.
Data Science Intern — Forecasting & Business Analytics
Beijing Jinye Paper Co., Ltd. Additional project details will be added only after the data, method, business question, and result can be described precisely.
Quantitative foundation.
Methods and tools
Explore
See the work behind the bio.
The portfolio is organized around problems, evaluation choices, and decisions rather than a long inventory of tools.