Hi! I'm a PhD student in Computer Science at Cornell University, advised by Prof. Rachee Singh. My research interests revolve around systems, networking, and machine learning. I'm currently working on networking infrastructure for large-scale machine learning systems.
I received my B.S.E in Computer Science from the University of Michigan with Summa Cum Laude, and B.S.E in Electrical and Computer Engineering from Shanghai Jiao Tong University with honors. I had the fortune to work with Prof. Mosharaf Chowdhury at Michigan.
Last updated: 5-7-2026
Publications
Reconfigurable Torus Fabrics for Multi-tenant ML
Abhishek Vijaya Kumar, Eric Ding, Arjun Devraj, Darius Bunandar, Rachee Singh
ASPLOS 2026 [pdf]
Photonic Rails in ML Datacenters
Eric Ding, Chuhan Ouyang, Rachee Singh
ACM HotNets 2025 [pdf] [slides]
PipSwitch: A Circuit Switch Using Programmable Integrated Photonics
Eric Ding, Rachee Singh
Optical Fiber Communication (OFC) Conference 2025 [pdf]
Venn: Resource Management Across Federated Learning Jobs
Jiachen Liu, Fan Lai, Eric Ding, Yiwen Zhang, Mosharaf Chowdhury
MLSys 2025 [pdf]
WASP: Wearable Analytical Skin Probe for Dynamic Monitoring of Transepidermal Water Loss
Anjali Devi Sivakumar, Ruchi Sharma, Chandrakalavathi Thota, Eric Ding, Xudong Fan
ACS Sensors 2023 [pdf]
CCL-Bench 1.0: A Trace-Based Benchmark for LLM Infrastructure
Eric Ding, Byungsoo Oh, Bhaskar Kataria, Kaiwen Guo, Jelena Gvero,
Abhishek Vijaya Kumar, Arjun Devraj, Lindsey Bowen, Atharv Sonwane, Emaad Manzoor, Rachee Singh
arXiv preprint [pdf]
Photonic Rails in ML Datacenters with Opus
Eric Ding, Barry Lyu, Bhaskar Kataria, Rachee Singh
arXiv preprint [pdf]
Efficient AllReduce with Stragglers
Arjun Devraj, Eric Ding, Abhishek Vijaya Kumar, Robert Kleinberg, Rachee Singh
arXiv preprint [pdf]
Work Experience
NVIDIA, Santa Clara, CA
Talks
Co-packaged Optics, Systems for Programmable Optical Interconnects, Cornell University, April 2025
From Switch-based to Switch-less Interconnection Network, Advanced Topics in Parallel Computing, Cornell University, April 2025
An analysis of Linux scalability to many cores, Advanced System Lecture, Cornell University, Sep. 2024
Teaching
Teaching Assistant, CS5470 Systems for Large-scale ML, Cornell University, Fall 2025
Volunteering
NSDI 2026 Fall AE Committee, Jan. 2026
EuroSys 2026 Shadow PC, Oct. 2025
SIGCOMM 2025 AE Committee, Aug. 2025
MLSys 2025 AE Reviewer, Mar. 2025
Lunch and Learn Czar, Cornell University, Feb. 2025 – May. 2025
EECS 280 Peer Tutor, University of Michigan, Feb. 2024 – May. 2024