Saurav Sengupta

I am Saurav, a PhD student at the School of Data Science, University of Virginia.

I currently work on applying machine learning to healthcare problems like Long COVID and Gastroenterological diseases, using a range of technologies like LSTMs, to Vision Transformers and Convolutional Neural Networks. The main subject of my thesis is building and evaluating interpretable machine learning techniques like Attention and GradCAMs, as well as combining image and text modalities for healthcare data science problems.

I come from a web development background where I helped a bank replace their internal legacy web interface with flexible cloud based web services using Spring Boot and Pivotal Cloud Foundry. While there, I developed systems that were interfaces for data storage and retrieval which was in turn used for analytics to streamline processes and reduce risk. This turned me on to how data can be a valuable commodity and initiated my journey into data science.

I am motivated by the idea of building accessible pieces of technology that assist us in our daily lives, by helping us invest smarter, learn better and other myriad of uses. I hope to use the cutting edge of technology to build such systems.