Nicole Yang

Nicole Yang is a Visiting Assistant Professor at Emory University. She holds a PhD from 2021, though the institution is not explicitly stated in the provided text. Her research focuses on interdisciplinary areas including machine learning, financial mathematics, stochastic processes, computer vision, and optimal transport. She explores topics such as fairness in AI, dynamical systems, volatility modeling, and generative modeling with applications in finance and data science.

Her work bridges theoretical foundations (e.g., Schrödinger bridges, PDEs) with practical challenges like time series imputation and facial recognition bias mitigation. Recent publications emphasize statistical accuracy in dynamical systems and relative arbitrage strategies in complex markets. She maintains an active research agenda in high-dimensional problems, such as image generation via score-based diffusion models and constrained generative modeling.

No scientific awards or grants are explicitly listed in the text. Her advising record is not provided, and no specific lab affiliations are mentioned. Her email is listed as yang@pstat.ucsb.edu, suggesting possible academic ties to the University of California, Santa Barbara, though her current faculty role is at Emory University.