Chandra Kanth Nagesh

Hi there, thanks for stopping by! 👋

I am currently pursuing a Ph.D. in Computer Science at CU Boulder advised by Dr. Sriram Sankaranarayanan were we are part of the Programming Languages and Verification (CUPLV) lab.

My research interests are in the intersection of Theoretical Machine Learning and Dynamical Systems. I am generally fascinated about building models that can learn complex dynamical systems using machine learning or deep learning techniques. Currently, one of my main goals is to get models to learn physical systems governed by ODEs such as Damped Oscillator, Pendulum, Lotka-Volterra on a small scale, and then scale it up to more complex systems.

During my Master’s thesis, I worked on developing a dataset, and benchmarking current SOTA models in salient object detection (SOD) especially for people who are visually impaired. Advised by Dr. Danna Gurari.

Prior to my master’s, I worked close to 4 years in the industry, where I developed products in the domain of algorithms, computer vision, and reinforcement learning. I recieved my undergraduate degree in Computer Science from RV College of Engineering, Bangalore.

In my spare time, I love to bike a lot (Strava) and watch football (Arsenal FC for more than a decade). I am originally from Bengaluru, Karnataka, India, currently living in Boulder, Colorado, USA.

Checkout my PhD geneology tree here.