Hi there!

I’m currently a PhD Student in Machine Learning at Georgia Tech where I am currently advised by Prof. Christopher Rozell and Dr. Sankaraleengam Alagapan.

My research interests are at the intersection of Machine Learning, Neuroscience and Economics. I am interested in understanding how people make decisions. Currently I am working on 1) developing comparison based machine learning algorithms to learn about subjective percepts like motivation and cognitive effort and 2) using Stereoelectroencephalography to reveal the neural dynamics of effort-based decision-making.

I finished my Masters in Computer Science, at Georgia Tech, specializing in Machine Learning, where I was advised by Prof. Aditya Prakash. I incorporated group information in modelling Healthcare Associated Infections.

Previously, I was an Applied AI Intern at Netomi, an AI for customer service startup, where I was mentored by Dr. Partho Nath. I developed semi-supervised clustering methods for topic discovery in large customer service ticket datasets.

In the Summer of 2020, I was a SURF Intern at Caltech where I was advised by Prof. Adam Wierman. We developed energy-aware algorithms to schedule precedence constrained tasks on multiple servers.

I finished my undergraduate studies, double majoring in Computer Science and Biology with a minor in Statistics, at Penn State where I completed my Honors thesis with Prof. Daniel Kifer. For my thesis, I worked on improving the scalability of certifiably adversarial robust deep neural networks.

Other than research, I’m an enthusiastic amateur cricket player 🏏 an avid reader 📚, and learn Muay Thai 🥊.

If you would like to get in contact with me, feel free to reach out via email.