Parthe Pandit

Mood Indigo 2015 

Ph.D. Candidate
Department of Electrical and Computer Engineering
Department of Statistics

Email:<firstname> <lastname> [at] ucla [dot] edu

About Me

I am a fifth year Ph.D. candidate in ECE, and an MS student in Statistics at UCLA. I primarily work on analyzing and solving high-dimensional optimization problems in Machine Learning. My advisors are Alyson Fletcher, Sundeep Rangan, and Arash Amini.

I am currently working towards a better understanding of Deep learning phenomena using the Approximate Message Passing methodology. I am also interested in high-dimensional time series models with applications to computational neuroscience.

In the past, I have worked on designing pricing schemes to serve impatient users (with Sam Coogan), understanding and controlling the free riding phenomenon observed in multi-agent systems (with Ankur Kulkarni), exploring the interplay between discrete and continuous optimization (with Ankur Kulkarni), and designing large-scale audio segmentation systems (with Preeti Rao).

I graduated from IIT Bombay with a B.Tech + M.Tech in Electrical Engineering and a Minor in Computer Science.