معرفی
Mateo Díaz serves as an Assistant Professor at Johns Hopkins University with primary appointments in the Department of Applied Mathematics and Statistics and the Mathematical Institute for Data Science, alongside a secondary appointment in the Department of Computer Science.
Academic Background:
- PhD in Applied Mathematics, Cornell University (Advisor: Damek Davis)
- Postdoctoral Scholar, California Institute of Technology (Hosts: Venkat Chandrasekaran, Joel Tropp)
- MSc in Mathematics, Universidad de los Andes
- BS in Mathematics and BS in Systems and Computing Engineering, Universidad de los Andes (Co-Advisors: Mauricio Junca, Mauricio Velasco)
His research examines the fundamental connections between optimization theory, geometric structures, and statistical inference, driving innovations in machine learning algorithms and signal processing techniques. Current work emphasizes leveraging geometric insights to develop robust optimization frameworks for high-dimensional data analysis in data science applications.
Graduate Mentoring: Actively supervises PhD candidates Pedro Izquierdo Lehmann, Abdel Ghani Labassi, Daniel Lopez-Castaño (co-advised with Soledad Villar), and Jonas Elmerraji (co-advised with James C. Spall); Master's candidate Shengtai Yao; and Research Fellow Haoruo Zhang. Recent graduates include Data Science Master's alumni Fengsheng Lin and Yun You.
