Data Conference Databasea Query.Farm index
Speakers

Tristan Rice

Employers on the program

  1. 2024–2026Meta5 talks

The year around now

Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.

JanFebMarAprMayJunJulAugSepOctNovDecPyTorch ConferencePyTorch Conference
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • PyTorch Conference

Talks

DateEventConferenceRoleTitleLinks
Apr 7, 2026PyTorch Conference Europe 2026PyTorch Conferencelightning talkLightning Talk: Debugging the Undebuggable: Introducing Torch.distributed.debug
as Meta
Distributed training in PyTorch enables unprecedented scale, but it also introduces notoriously difficult debugging challenges. When a job with thousands of…Show less

Distributed training in PyTorch enables unprecedented scale, but it also introduces notoriously difficult debugging challenges. When a job with thousands of ranks hangs or slows down, identifying the root cause can feel like searching for a needle in a haystack. This lightning talk introduces the...

Oct 22, 2025PyTorch Conference 2025PyTorch ConferenceposterPoster Presentations: Industry & Infrastructure
as Meta
Chaos To Control: Building the Central Nervous System for Enterprise AI With Gateway Architecture - Christian Cania & Boyu Wang, TrueFoundry PROfile Behavioral…Show less

Chaos To Control: Building the Central Nervous System for Enterprise AI With Gateway Architecture - Christian Cania & Boyu Wang, TrueFoundry PROfile Behavioral Embeddings - Xiaojun Fu, Vincent Young, Allen Miyazawa,Jiahao Wu,  Meta PyTorch‑Powered GNNs for Enterprise SSD I/O Acceleration - Zeyuan...

Oct 22, 2025PyTorch Conference 2025PyTorch ConferenceposterPoster Presentations: PyTorch Core
as Meta
A Case Study of Torch.compile-induced Timeouts in Distributed - Simon Fan & Brian Hirsh, Meta Activation Checkpoint 2: A New Graph-capture-based Activation…Show less

A Case Study of Torch.compile-induced Timeouts in Distributed - Simon Fan & Brian Hirsh, Meta Activation Checkpoint 2: A New Graph-capture-based Activation Checkpoint - Jeffrey Wan, Meta Automatic Parallelism in PyTorch - Will Constable & Francisco Massa, Meta Breaking Less: Tackling Graph Breaks...

Oct 22, 2025PyTorch Conference 2025PyTorch ConferencespeakerSponsored Session: PyTorch Distributed and Fault Tolerance
as Meta
This session will cover the latest and greatest of PyTorch Distributed communication including upcoming features and improvements, large scale training, fault…Show less

This session will cover the latest and greatest of PyTorch Distributed communication including upcoming features and improvements, large scale training, fault tolerance, and more. We'll cover the current landscape of PTD including new libraries such as torchft as well as future directions.

Sep 18, 2024PyTorch Conference 2024PyTorch ConferenceposterPoster Presentations
as Meta
Purge the GIL: Improved Torch.DataLoader - Michal Szolucha & Rostan Tabet, NVIDIA XFormers - Daniel Haziza, Meta AI  TritonCC: AOT Triton Workflow for…Show less

Purge the GIL: Improved Torch.DataLoader - Michal Szolucha & Rostan Tabet, NVIDIA XFormers - Daniel Haziza, Meta AI  TritonCC: AOT Triton Workflow for TorchScript C++ Runtime - Sijia Chen & Huamin Li, Meta The PyTorch 2.0 Inference Story - Angela Yi, Bin Bao, Sheng Qin & Sherlock Huang, Meta Tensor...

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Angela Yi322026
Bin Bao322026
Lucas Pasqualin322026
Mikayla Gawarecki312026
Oguz Ulgen312026
William Wen312026
Alban Desmaison3—2026
Jason Ansel3—2026
Joe Spisak3—2026
Ke Wen3—2026
Matt White3—2026
Richard Zou3—2026
Brian Hirsh222025
Eikan Wang222025
Roy Allela222025

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.