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Hello

Shuli Jiang (蒋书礼)

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I am fifth year Ph.D. student at the Robotics Institute ⊆ School of Computer Science ⊆ Carnegie Mellon University.

I am fortunate to be advised by Professor Gauri Joshi. I also work closely with Professor Steven Wu and Professor Pranay Sharma (who will join IIT Bombay in Jan.2025). Prior to becoming a Ph.D. student, I obtained my B.S. and M.S. in Computer Science at Carnegie Mellon University. Previously, I also worked with Professor Artur Dubrawski at the Auton Lab, affiliated with the Robotics Institute.

Job Hunting

I am looking for industry research positions. I am interested in topics on differential privacy, distributed optimization, Federated Learning (FL), LLM security and efficient training of LLM! Please let me know if you have openings! :)

About Me

My research interests lie broadly in theory and applications of federated learning, communication-efficient distributed learning algorithms, differential privacy and security issues of large foundation models.
I am currently working around three topics around secure and privacy-preseving machine learning:

Distributed algorithms for federated learning under limited communication cost

Differentially private learning algorithms that ensure the privacy of user data

Security vulnerabilities of foundation models, including large language models (LLMs)

Previously, I also worked on outlier detection, (distributed) sketching algorithms, multi-view clustering, etc.

Contact

Email: [first name] + j [AT] andrew.cmu.edu