Computer Science PhD candidate advised by Dr. Evimaria Terzi.
Summer research internship at MPI-SWS, advised by Dr. Krishna Gummadi.
At IBM, I designed real-world solutions and developed ML models from the ground up on exciting projects at the intersection of business and tech.
Under the guidance of Dr. Mark Freeman, I developed a novel algorithmic method in
Python for business-to-business bid price optimization, and successfully deployed it as a microservice for a large telecommunications company.
I also worked with Watson Health to develop an NLP solution to automate pre-surgical authorization. My contributions included building a rules engine in Python and implementing algorithms to extract natural language features from
patient clinical data.
I was awarded the Citation for Achievement in College Leadership in recognition of outstanding undergraduate teaching and research commitment. I led workshops, recitations and labs for groups of 15-20 students for the following
courses across the Physics, Electrical & Computer Engineering and Math departments:
I was awarded a research fellowship by Xerox to conduct research under the guidance of Prof. Zhiyao Duan in the Audio Information Research Lab during the summer of 2016. The primary purpose of my research was to design a computational system that could follow live musical performances and display pre-encoded lyrics in real-time.
Research interests: Data Mining, Social Computing, Machine Learning
Focus in Computational & Statistical Methods
Relevant coursework: Artificial Intelligence, Statistical Learning, Data Mining, Database Systems, Cryptography
Highest Distinction, Magna Cum Laude
Relevant coursework: Computational Physics, Data Structures & Algorithms, Robot Control, Game Theory, Classical Mechanics, Linear Algebra, Signal Processing