Research Interests: My research spans several areas of theoretical high-energy physics centered around scattering amplitudes and modular symmetry. Scattering amplitudes are fundamental objects in theoretical physics which can be measured in experiments and reveal deep connections between physics and pure mathematics. At UM, I plan to study several active sub-fields within the field of scattering amplitudes, including effective field theories, the double-copy, and the S-matrix bootstrap.

Outside of research, I work with a variety of organizations to support under-represented minority groups in STEM fields. I am Mexican-American and a first-generation college student, and I owe much of my success to my own mentors. I intend to continue my mentorship and outreach work at UM.

Education/Degree
Ph.D., UCLA (2023)
M.S., UCLA (2018)
B.S., Fordham University (2017)

Contact
Physics
Randall Lab
450 Church Street
Ann Arbor, MI 48109

Email: ngeiser@umich.edu

Research Interests: I am a mathematician interested in developing novel graph-theoretic approaches to biochemical reaction networks and exploring the geometry and topology of multi-scale biological systems. My doctoral work explores graph-theoretic models of biochemical reaction networks, primarily using the linear framework. The mathematical background in graph theory and stochastic processes I cultivated during my PhD has allowed me to investigate open problems across disciplines, ranging from non-equilibrium thermodynamics to molecular information processing. I also have done work in chemical reaction network theory on disguised toric systems. As a Van Loo postdoctoral fellow, I am interested in topological data analysis, exploring theoretical connections between geometry and graph theory, and identifying trade-offs in stochastic thermodynamics.

Education/Degree
Ph.D., Harvard University (2024)
B.A., Middlebury College (2018)

Contact
Center for the Study of Complex Systems
Weiser Hall Suite 700
500 Church Street
Ann Arbor, MI 48109-1043

Email: sjhaque@umich.edu

Website

Research Interests: My research interests span the related fields of optimization and high-dimensional statistics. More specifically, I exploit low-dimensional structure hidden in various types of data and design provably efficient (both computationally and statistically) algorithms. During my Ph.D. studies, I have mainly worked on provably efficient non-convex methods for low-rank matrix and tensor recovery problems, which find wide applications in genomics data analysis, community detection on multi- layer networks, multi-dimensional recommender system, image and video recovery and so on.

Education/Degree
Ph.D., The Hong Kong University of Science & Technology (2023)
B.A., Zhejiang University (2019)

Contact
Department of Statistics
323 West Hall
1085 South University
Ann Arbor, MI 48109-1043

Email: jjyyli@umich.edu

Website