I am a Postdoc in Prof. Smita Krishnaswamy’s Lab at Yale University. I currently work on machine learning problems related to biomedical data. I also work on mathematics of deep learning models.

I completed my PhD in the Department of Computer Science at University of Maryland, College Park. My research advisor and mentor at UMD was Professor Dianne P. O’Leary. My main research interests are scientific computing, machine learning, and solving hard optimization problems.

For my dissertation, I worked on interpretation of neural networks and application of homotopy methods. We developed mathematical methods to study trained neural networks as nonlinear functions, interpret their behavior, study their decision boundaries, and to improve and debug them. Our research has implications for adversarial robustness of deep learning models and their generalization error, too. We also developed methods to refine the structure of trained networks using matrix conditioning.

In summer 2018, I was at the Los Alamos National Laboratory for their Applied Machine Learning Fellowship. I finished a project about interpretation of Gaussian graphical models for unsupervised learning of data gathered by the Mars rover. It is published in the proceedings of a SIAM conference.

I like to solve challenging optimization problems in different contexts. I am comfortable with nonlinear optimization problems, integer programming and linear programming. During my coursework, I took Scientific Computing I and II, Nonlinear Optimization II, Integer Programming, Sparsity and Machine Learning, Machine Learning, High Performance Computing, and several other courses.

I have worked on real-time optimization problems in Humanitarian Aid delivery systems and Freight transportation systems. We developed a probabilistic framework to optimize the decisions. Our formulation is nonlinear and non-convex, and we designed a homotopy algorithm to solve it in real-time.

In Fall 2018, I received the Graduate School’s Outstanding Teaching Assistant Award. That semester, I was a TA for the course CMSC460 “Computational Methods”.

I am also a licensed structural engineer. Before studying computer science, I was a structural design engineer. I like to read books about science and humanities, and I like to run.