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*,

*, and solving hard*

__machine learning__*.*

__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.