My Ph.D. research focused on leveraging the interplay between systems and algorithmic optimization. My thesis devised performant solutions to resource-intensive ML tasks on constrained platforms such as mobile devices by using data subspace embedding properties. I have also made a number of research contributions to the
areas of embedded, cyber-physical, and IoT devices.
You can find out more about my work by clicking on the subjects below.