I'm a third-year undergraduate student at New York University pursuing a joint major in Computer Science and Data Science. My research spans multiple topics in machine learning, such as Natural Language Processing (NLP), Robotics, and Computer Vision.
My primary lab is the Energy-Aware, Secure and Reliable Computing Research Group (EnSuRe) headed by Siddharth Garg, where I work on fairness and bias issues in Large Language Model (LLM) zero/few-shot learning on sensitive data, such as hospital admissions.
I have also been working with Carlos Fernandez-Granda at the Center for Data Science (CDS). I am currently developing large-scale vision transformers to model neuropsychiatric disorders caused by neurodegenerative diseases such as Alzheimer's.
Outside of NYU, I am working with Aparna Varde at Montclair State University on integrating commonsense reasoning in domestic robots, in order to make task planning more efficient in human-robot collaborative tasks.
In the past two years, I have also worked with Shantanu Sharma at NJIT, Sharad Mehrotra at UCI, and Meredith Dank at the NYU Marron Institute of Urban Sciences, where my work has spanned homomorphic encryption in databases, spatial and temporal data visualization, and data analysis and visualization for disrupting the human trafficking industry.
Before entering college and starting my research career, I interned full-time at INVIDI Technologies as a data scientist in Summer 2022, where I worked on RNN time series forecasting and data visualization on advertisement impression data.
My full CV is available here.
Contact Information
- NYU Email
swag@nyu.edu- Phone Number
(609)-271-0864
Other Links
- GitHub
@GOTWIC- Google Scholar
- Swagnik Roychoudhury
in/swagnik@swagnikr- Discord
@GOTWIC