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Introduction

I am on the job market for tenure-track Assistant Professor, Research Scientist, or Research Staff.

I am a postdoctoral researcher in the Department of Applied Mathematics & Statistics at Johns Hopkins University. I am working with Mauro Maggioni on using machine learning techniques to study collective dynamics.

Before my postdoc appointment at JHU, I was a doctoral student in the Applied Mathematics & Statistics, and Scientific Computing (AMSC) program at the University of Maryland. My thesis adviser was Eitan Tadmor (Wikipedia Page).

Research Interests

My research profile consists of machine learning, inverse problems, data recovery, and scientific computing. In particular, I design, develop and analyze algorithms to facilitate the need of making valid, useful and swift scientific discoveries from observation data. Oftentimes, I have to deal with data having enormous size, hence the algorithms have to be scalable and efficient. In order to design these algorithms with the desired properties, I use theories and techniques from machine learning, numerical ODE/PDE, scientific computing, approximation theory, inverse problems, probabilty and statistics.

Right now, I am considering the following problems:

Contact Information

Select Publications

A complete list of publications can be found here.