Neharika Jali

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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