what's a good metric for PhD Students?
So, I started my PhD in CS at Georgia Tech in Fall 2023. Itβs only been around 16 months, but it feels more like several years in deep learning research trends.
I am a third-year Ph.D. student in the School of Interactive Computing at Georgia Tech, advised by Humphrey Shi. I completed my Bachelor's in Computer Science and Engineering in 2023 at IIT Roorkee.
I have interned at Allen AI (Summer 2025, with Christopher Clark), Microsoft Research, Redmond (Summer 2024, with Jianwei Yang) and Picsart AI Research (Summer 2021-22, with Humphrey Shi).
My research trajectory so far can be broadly classified into three areas:
Reach out if you are interested in my research or would like to discuss any ideas. If you are a self-motivated researcher who's looking for guidance on one of your projects or just want to chat about my experience, will you drop me an email?
So, I started my PhD in CS at Georgia Tech in Fall 2023. Itβs only been around 16 months, but it feels more like several years in deep learning research trends.
In case you missed it, I shared my experience as a rookie undergrad researcher in a previous blog: Riding the Noisy Research Track. Since then, I have grown from a rookie researcher into a more mature beginner researcher with a better outlook on the bigger picture in research (thinking beyond publishing a paper) owing to my close collaboration with the SHI Labs in the last couple of years.
This summer, I worked as a remote research intern at SHI Lab @ University of Oregon (UO) and Picsart AI Research (PAIR). I joined the SHI Lab to work with Professor Humphrey Shi in November 2020 during my second year and continued my work there during the summers, and I joined PAIR during the summers (June 2021).
Since the onset of the COVID-19 pandemic, the following lockdowns and stay & work from home situations, the concept of Overthinking has gained popularity. Moreover, now and then, I find the gen-z people (and even me sometimes) replying to βWhat you doing?