I received my PhD in Computer Science in August 2020 as a member of the Computer Networks Research Group at the University of Massachusetts College of Information and Computer Sciences working with
my advisor, Don Towsley. Previously I was a member of the Autonomous Learning Lab working with Sridhar Mahadevan during which time I received my MS in 2015. My current research interests are in graph signal processing and deep learning.
Since 2017 I've been a machine learning consultant for Stream Dx. My work focuses on applying machine learning and deep learning methods to filter noisy medical device recordings and perform automatic event detection.
In the summer of 2017 I interned at Pacific Northwest National Labs in Seattle, WA. There I worked on developing recurrent neural network models for event detection in temporal medical data. The models are used to detect
anomalous behaviors in patients (i.e. heart arrhythmias) in real time.
In 2015 I interned at Technicolor Research in Los Altos, CA developing recommendation systems and geography based demand prediction methods for VoD systems. This work was published at IEEE Infocom 2016.