I am an assistant professor in the Department of Computer Science
at Queens College / CUNY and
CUNY Graduate Center.
Prior to coming to CUNY, I was a research scientist for seven years in the Computational Methods in
Systems and Control Theory group at the Max Planck Institute for Dynamics of
Complex Technical Systems in Magdeburg, Germany,
and before that, an Assistant Research Scientist at the
Courant Institute of Mathematical Sciences
at New York University, which is also where I obtained my PhD in computer
science in 2014. I did my undergraduate studies in both computer science
and mathematics at Tufts University.
To date, my research interest has been focused on designing fast and reliable algorithms and software for robust control and stability analysis of dynamical systems. However, the resulting tools I have developed are often applicable to other problems as well, such as model-order reduction, and even quite general domains like nonsmooth constrained optimization and benchmarking of numerical algorithms. The techniques underlying my work typically lie across the fields of numerical linear algebra, optimization, and scientific computing, and I am concerned with creating both scalable methods for large-dimensional problems as well as improved algorithms intended for small-scale use.
Prospective PhD students: If doing research on numerical computation topics (like those mentioned above as well as on my research and software pages) sounds like a great way to spend five years in grad school, then send me email to discuss, and check out the computer science PhD program at CUNY Graduate Center!