My research interests are mainly focused around machine learning on time series data. Previously, I worked on applying machine learning to medical time series. Recently, I have begun working on natural language understanding problems.
I completed my PhD with the Data Science Research Center (DSRC) at Rensselaer Polytechnic Institute (RPI). My work with Prof. Bülent Yener focused on developing methods specially designed for classifying, predicting, and analyzing medical data. We worked in collaboration with a team of doctors from the Mount Sinai Hospital and the Icahn School of Medicine at Mount Sinai.
Alongside my research with the DSRC, I have worked as a researcher with a number of tech companies. As an intern at IBM Research for two summers, I explored the scalability limitations of existing parallel training algorithms for deep neural networks on IBM’s HPC and developed communication schemes to circumvent those limitations. Recently, I worked with Siemens Corporate Technology to develop methods to parallelize the training of multiagent reinforcement learning systems.