I am a postdoctoral research scientist in the Computational Methods in Systems and Control Theory group at the Max Planck Institute for Complex Dynamics of Technical Systems in Magdeburg, Germany. Previously, I was an Assistant Research Scientist at the Courant Institute of Mathematical Sciences at New York Unversity, which is also where I obtained my PhD in computer science. 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.