Weiyang "Frank" Wang

About Me

I’m an incoming Assistant Professor of Computer Science at NYU, starting in Fall 2027. I’m currently a Senior Software Architect at NVIDIA working on AI Systems and Networking. I received my Ph.D. from MIT CSAIL, where I worked in the Network and Mobile Systems (NMS) research group with Professor Manya Ghobadi. Before MIT, I received my B.S. in computer science (honors), advised by Professor Alex C. Snoeren, and my B.S. in physics from UC San Diego.

Research Interests

My research interests span all layers of networked AI systems, from hardware interconnects to application-specific optimizations. Examples from my past work include network architectures for ML training, transport protocols, cluster scheduling, and checkpointing.

Publications

Posters

• Efficient Direct-Connect Topologies for Collective Communications
  Liangyu Zhao, Siddharth Pal, Tapan Chugh, Weiyang Wang, Jason Fantl, Prithwish Basu, Joud Khoury, Arvind Krishnamurthy
  Poster Session at the 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI), Philadelphia, PA, April 2025

• Zero Buffer Optical Packet Switching Data Center Network
  Shawn Shuoshuo Chen, Weiyang Wang, Manya Ghobadi, Srinivasan Seshan, Peter Steenkiste
  Poster Session at the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI), Santa Clara, CA, April 2024

Patent

• In-network Optical Inference
  Manya Ghobadi, Zhizhen Zhong, Weiyang Wang, Liane Sarah Beland Bernstein, Alexander Sludds, Ryan Hamerly, Dirk Robert Englund
  US Patent Application Number 18561985

Teaching Experience

• 6.5820 Computer Networks, Fall 2024 — Guest Lecturer, MIT EECS Department
  Delivered a full lecture on distributed machine learning
• 6.5820 Computer Networks, Fall 2023 — Guest Lecturer, MIT EECS Department
  Delivered part of a lecture on networks for machine learning
• 6.5820 Computer Networks, Fall 2022 — Teaching Assistant, MIT EECS Department
• CSE 8B Introduction to Programming II, Winter 2020 — Tutor, UCSD CSE Department
• CSE 132A Database Principles, Fall 2018 – Fall 2019 — Tutor, UCSD CSE Department

Honors and Awards

• Finalist, Meta PhD Research Fellowship (Computer Networks) — 2022
• MIT Presidential Fellowship — 2020
• UCSD Jacobs School Awards of Excellence (Computer Science and Engineering) — 2020
• CRA Outstanding Undergraduate Researcher Awards, Runners-up — 2019
• UCSD CSE Computer Networking Espresso Prize, Winner — 2018
• UCSD Provost Honors — 2016 to 2020

Professional Service

• Artifact Evaluation Committee Chair, USENIX Symposium on Networked Systems Design and Implementation (NSDI) — 2027
• Program Committee, ACM Workshop on Hot Topics in Networks (HotNets) — 2026
• Program Committee, IEEE Symposium on High-Performance Interconnects (HotI) - 2026
• Program Committee, Workshop on Hot Topics in Optical Technologies and Applications in Networking (HotOptics) - 2026
• Program Committee, ACM Symposium on Cloud Computing (SoCC) - 2026
• Program Committee, ACM Asia-Pacific Workshop on Networking (APNet) — 2026
• Reviewer, IEEE Network Magazine - 2025
• Reviewer, IEEE/ACM Transactions on Networking (ToN) — 2025, 2026
• Reviewer, IEEE Open Journal of the Solid-State Circuits Society (OJ-SSCS) — 2025
• Reviewer, Elsevier Computer Networks (COMNET) — 2025
• External Reviewer, IEEE International Conference on Network Protocols (ICNP) — 2025
• External Reviewer, ACM Asia-Pacific Workshop on Networking (APNet) — 2025
• External Reviewer, IEEE Global Communications Conference (GLOBECOM) — 2025

Other Service

• Member, MIT EECS REFS
  Served as peer mediator supporting the graduate community and acting as a first point of contact for stress-related issues
• Web Chair, MIT Sidney-Pacific Student Government
  Maintained and developed the administration system for MIT’s Sidney-Pacific graduate housing
• System Administrator, MIT Network and Mobile Systems Research Group
  Constructed and managed a 24-node GPU cluster with electrical and optical networking from scratch

Misc

When I’m not in the office, I’m usually making coffeeMy favorite coffee beans are natural-processed Ethiopian, and my favorite brew method currently is the Aeropress.
My former labmate Jeremy Carin maintains an excellent list of coffee shops in Boston, Cambridge, and NYC, check it out!, taking or editing photosI host Immich on TrueNAS SCALE and have been really impressed—it’s a great tool for managing photos and videos.
Remotely related to photography: a physicist really wants to tell you about moiré patterns :) , or powerliftingPR: Bench press: 225 lbs Squat: 310 lbs Deadlift: 425 lbs.

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