Hi there!

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

My mission is to help people become the best versions of themselves and help them thrive. I believe that democratising neurotechnology can help us achieve that.

My research interests are at the intersection of Neuroscience, Machine Learning and Economics. I am particularly interested in understanding how people make cost benefit decisions in daily life. My PhD thesis research is on objectively quantifying motivation in humans to better treat psychiatric disorders.

Currently I am working on 1) identifying the neural and body correlates of naturalistic effort based decision making (and motivation!) via highly instrumented tasks by analyzing SEEG, EMG, EKG and pupillometry 2) developing quantitative and purely data driven machine learning methods to learn representations of subjective percepts like effort perception.

Other than research, I love to hike, ski, make pots (quite badly) and read.

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