Neharika Jali
I am a second year PhD student in Electrical and Computer Engineering, Carnegie Mellon University advised by Prof. Gauri Joshi. I also collaborate with Prof. Guannan Qu. I currently work on designing computation and resource allocation algorithms for efficient machine learning systems utilizing tools from reinforcement learning and queueing theory. My research interests broadly lie in applied probability, optimization and machine learning.
I was previously a Software Engineer at Google working on optimizing Android for the Next Billion Users.
I pursued my undergraduate studies at Indian Institute of Technology, Bombay majoring in Electrical Engineering with a minor in Computer Science. I worked with Prof. Nikhil Karamchandani and Prof. Sharayu Moharir for my master's thesis. I also spent a semester abroad at D-ITET, ETH Zurich.
Get in touch at [first letter of first name][lastname]@andrew.cmu.edu
Research
Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Divyansh Jhunjhunwala*, Neharika Jali*, Gauri Joshi, Shiqiang Wang
IEEE International Symposium on Information Theory (ISIT), 2024
Neharika Jali, Nikhil Karamchandani, Sharayu Moharir
IEEE Transactions on Signal and Information Processing over Networks, 2022
IEEE International Symposium on Information Theory (ISIT), 2021 - Short version
* denotes equal contribution
Resources
A form designed to facilitate checking in with your advisor, often used by CMU SCS/ECE PhD students
Some advice on navigating a PhD by Prof. Aditya Ramdas
Applying to grad school in CS/ECE by Prof. Mor Harchol-Balter