Ph.D. Student in Computer Science at University of Chicago Last updated: November 2025
I am a Ph.D. student in Computer Science at the University of Chicago, advised by Prof. Nick Feamster. I also received my B.S. in both Computer Science and Economic from Colgate Unversity, advised by Prof. Aaron Gember Jacobson. My research focuses on synthetic data generation, ML-driven network traffic modeling, and real-time data systems. I have published in top-tier venues including SIGMETRICS, KDD, WWW, and CoNEXT.
Beyond research, I am an entrepreneur and co-founder of multiple startups.
Contact: xijiang9@uchicago.edu Location: Chicago, IL GitHub: Chasexj LinkedIn: Xi (Chase) Jiang
The University of Chicago | Chicago, IL Ph.D. Student in Computer Science | Sep 2021 - Present
- Advisor: Prof. Nick Feamster (ACM Fellow, MIT Tech Review 35 under 35)
- Recipient of Crerar Fellowship
- Successfully defended M.S. thesis as part of the integrated Ph.D. program
Colgate University | Hamilton, NY B.S. in Computer Science and Economics | Sep 2017 - May 2021
- High Honors in Computer Science
- Laura Sanchis Award for Excellence in Research
A next-generation brain-machine interface startup developing wearables to track and optimize focus, energy, and cognitive performance.
- Backed by leading investors in AI, neurotech, and consumer hardware
- First consumer-friendly cognitive optimization wearable
AI-driven social application
- Progressed to second round of TechStars evaluation
- First place in WeShine Pitch competition
- Leading product concept and strategy with AI-enhanced matchmaking
- Synthetic Data Generation
- ML-Driven Network Traffic Modeling
- Real-Time Data Systems
- State Space Models
- Protocol-Constrained Traffic Generation
- Network Analysis and Security
CAP: Detecting Network Device Misconfigurations with Context-Aware Prompting of LLMs SIGMETRICS'26 | Xi Jiang, Aaron Gember-Jacobson, Nick Feamster.
JITI: Dynamic Model Serving for Just-in-Time Traffic Inference CoNEXT'25 | Xi Jiang, Shinan Liu, Saloua Naama, et al.
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation SIGMETRICS'24 | Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, et al.
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning KDD'23 | Xi Jiang*, Jacob Brown*, Van Tran*, et al.
Measuring and Evading Turkmenistan's Internet Censorship WWW'23 | Sadia Nourin, Van Tran, Xi Jiang, et al.
Rockfish AI | Machine Learning Engineer Intern | June 2024 - Sep 2024
- Developed patented data preprocessing technique enhancing platform capacity by 100x
- Accelerated model training speed by 30x
- Designed resource estimator for ML model preprocessing and training
Red Pulse | Tier 1 Research Analyst | May 2019 - May 2020
- Analyzed 240+ pieces of major technological and financial information in Chinese market
- Contributed to 2Q19 report for Chinese telecom industry
Staubli Robotics | Programming Intern | May 2015 - Aug 2016
- Improved operational efficiency of industrial robots by 2X through path optimization
- Leveraged A* and Dijkstra's algorithms for complex path planning
Extensive finance-related experiences at Red Pulse, YinLang IT Limited, China Evervright Bank Pulse, China Construction Bank, and more.
- Provisional Patent (2025): Enabling Scalable Generative Model Training for High Cardinality Event Streams Using State Aware Binning Encoding
- Provisional Patent (2025): Diffusion-Based Network Traffic Generation
- Provisional Patent (2025): SoMe Social
- First Place Winner - ACM Student Research Competition at SIGCOMM 2021
- Crerar Fellowship - University of Chicago, 2021
- Laura Sanchis Award - Excellence in Research, Colgate University, 2021
- High Honors in Computer Science - Colgate University, 2021
- Best Presentation Award - WIOTT at ICCSIT 2022
- Dean's Award with Distinction - Academic Excellence, 2017-2021
- Member - NSF ACTION Institute Student Advisory Council (2025-Present)
- TPC Member - ACM Internet Measurement Conference (IMC), 2024
- Reviewer - IEEE/ACM Transaction on Networking, NeurIPS, IEEE IoT Journal, Computer Networks
University of Chicago Researchers Revolutionize Network Traffic Generation with AI Breakthrough - UChicago CS News, March 2025
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