I am always interested in hearing from motivated and curious students and researchers who would like to engage with foundational questions in machine learning and related fields. My research lies at the intersection of machine learning, dynamical systems, and the analysis of structured data, and I welcome applicants from a broad range of backgrounds, including mathematics, physics, computer science, engineering, and related disciplines.
I particularly value individuals who are eager to develop a deep understanding of complex systems and who enjoy thinking both conceptually and practically about learning processes. Depending on the project, the expected level of mathematical preparation and scientific maturity may vary. Some projects are more implementation-oriented and involve developing and testing machine learning models in applied settings, while others require a stronger focus on theoretical analysis and mathematical modeling.
Overall, I am looking for people who are intellectually curious, open to interdisciplinary ideas, and willing to engage seriously with challenging problems. If you are interested in exploring how learning, dynamics, and structure interact in modern machine learning systems, I encourage you to get in touch.