Welcome to my webpage! My name is Sabina J. Haque. I am an applied mathematician interested in how techniques from graph theory, dynamical systems, and algebraic geometry can elucidate the relationship between structure and dynamics in biological systems. My research focuses primarily on chemical reaction networks and structural identifiability. Currently, I am a Van Loo Independent Postdoctoral Fellow at the University of Michigan Ann Arbor, affiliated with the Department of Mathematics and the Center for the Study of Complex Systems.
I have been long captivated by the potential for biology to drive the innovation of new mathematics. As I’ve trained simultaneously in mathematics and biochemistry through my undergrad and PhD, my research has taken on this task through the lens of chemical reaction networks. I completed my PhD in Systems Biology at Harvard University advised by Jeremy Gunawardena. My doctoral research focused on using graph-theoretic approaches, namely the linear framework, to characterize the interplay between network topology and system dynamics in biochemical reaction networks. My postdoctoral work has expanded this program toward structural identifiability in collaboration with Marisa Eisenberg, as well as model reduction and convex optimization.
A major focus of my research is chemical reaction network theory. Chemical reaction networks comprise a class of directed weighted graphs that give rise to polynomial dynamical systems under the assumption of mass-action kinetics. A central goal of my research is to develop graph-theoretic techniques and identify key structural conditions suited to the directed weighted structure of reaction networks. One example of this focus is collaborative work with Polly Yu on disguised toric systems published in SIAM Journal of Applied Dynamical Systems.
This theme was adapted from Anastasia Lyulina.