Bio

Hi, I’m Arjun! I am a first-year PhD student in the Computer Science Department at the University of California, Santa Barbara advised by Haewon Jeong.

My research interests are broadly in the theory and applications of responsible and robust machine learning. In the past, I have worked on applications of machine learning in many fields including cardiology, transportation, and sports as well as explored properties of the representation space of deep learning models. Check out some of my work below!

I completed my BS degree in Mathematics and Computer Science at the University of California, San Diego and my MS degree in Computer Science at Columbia University, where I worked with Brian Smith in the Computer-enabled Abilites Laboratory.

In my free time, I enjoy following baseball, playing board games, and composing music.

Publications

Machine Learning for Prediction of Pacemaker After TAVR in Patients with Low Stroke Volume Index
Amitabh C Pandey, Arjun Nichani, Megan Pelter, et al.
Journal of the American College of Cardiology (JACC), 2021

Projects

Contrastive Learning of Better Semantic Representations (2022)

Improvements and Analysis of Private Ensemble-Based Federated Learning (2022)

Detecting Bias in Edge Devices for Federated Learning using Generative Modeling (2021)

Predicting Pitcher Injuries Using Sabermetrics and Machine Learning (2019)

News

[Sep 2023] I began my PhD at the University of California, Santa Barbara!