I am a computational biologist with deep passion for improving patient diagnosis and treatment using 

data and novel algorithms. I earned my PhD in Electrical and Computer Engineering from University 

of Maryland and since then, I have been on a quest to find and solve problems that are “worth it” and make the most positive impact on people’s lives.

In my current position as a research fellow, I have successfully leveraged my background in probabilistic modeling, algorithm design and machine learning to find solutions to a diverse range of problems in computational biology.

I am passionate about data, algorithms, mathematical modeling and their applications in computational biology.