Yash Maurya
Graduate Student
School of Computer Science
Carnegie Mellon University
Email: ymaurya [at] cs.cmu.edu
LinkedIn: yashmaurya
GitHub: yashmaurya01
Scholar: yashmaurya01
I am a graduate student in the Privacy Engineering
Program at Carnegie Mellon University, pursuing my passion for
creating privacy-conscious AI solutions and ensuring the ethical use of data. My mission is to design robust
privacy systems for the greater good of society.
Currently, I am working as a Research Assistant in the School of Computer
Science, sponsored by PwC, under the guidance
of Professor Norman Sadeh, Professor Lorrie Cranor, and Professor Hana
Habib. We are
building a User-Centric Privacy Notice and Choice Threat Modeling Framework.
I'm also working with Professor Virginia Smith and Professor Steven Wu to explore Guardrails
for Unlearning in Large Language Models (LLMs).
Before joining CMU, I worked as an R&D Engineer at Samsung,
where I primarily contributed to prototyping
Samsung News' new Recommendation System. Prior to that, I also worked as a Federated Learning Researcher at
DynamoFL(YC W22)
My key research interests encompass Privacy Preserving Machine Learning, Fairness, Federated Learning,
Differential Privacy, Explainable and Responsible AI, and ML Safety. Currently, I am actively working
on Unlearning in LLMs, Privacy Threat Modeling, and Implicit Bias Auditing.
If you'd like to chat, please feel free to reach out at ymaurya [at] cs.cmu.edu
For more details, please see
Resume