Data Conference Databasea Query.Farm index
Companies

EPFL

Product category: Not a vendor 100% confident
Org type: University / research 100% confident
Also listed as 2 other names

EPFL Blue Brain Project · EPFL Lausanne

Conferences sponsored0
Events sponsored0
Speaker slots1919 distinct people
Conferences present at9sponsor or speaker
Years active2019–2026

Circuit mix

Where EPFL shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.

The year around now

Conferences where EPFL sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.

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

Presence by conference and year

Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.

Activity by year

Three measures on one year axis; each panel has its own scale.

Conferences present at

Distinct conferences each year, split by whether the company sponsored or only had speakers there.

  • Sponsored
  • Speakers only

Distinct speakers

People from this company on a program that year, each counted once.

Where they've grown or pulled back

EPFL has never sponsored a tracked conference, so this follows where its speakers appear instead.

FlatHad speakers at 3 conferences in 2026, flat from 3 in 2023.

Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.

New conferences spoken at 2

First speaker in 2025 or later.

No longer seen 6

No speakers since 2024 or earlier, though the conference published speaker lists after that.

Regulars 1

Speakers in most years of the span.

Lookalikes

Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).

  1. University of Edinburgh0.83
  2. ETH Zurich0.77
  3. Inria0.77
  4. prefix.dev0.74
  5. KTH Royal Institute of Technology0.74
  6. University of Chicago0.73
  7. Arm0.71
  8. Picnic0.69

17 Cluster: PyData · QCon circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 0 this company sponsored).

No co-sponsors: this company has no recorded sponsorships, or sponsored alone.

Neighborhood: companies with nearby conference footprints

EPFL (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.

EPFLArmUniversity of EdinburghInriaETH ZurichDuckDB LabsUniversity of MarylandCNRSQube Research & TechnologiesNew York UniversityVoltron DataIMCShopifyprefix.devUniversity of VirginiaQuantStackUniversity of ChicagoCapital Fund Managementfast.aiPyMC LabsSaturn CloudBloombergTwo SigmaNASACarnegie Mellon UniversityJPMorgan ChaseUniversity of Illinois Urbana-ChampaignUniversity of Michigan
EPFLArmUniversity of EdinburghInriaETH ZurichDuckDB LabsUniversity of MarylandCNRSNew York UniversityVoltron DataIMCShopifyprefix.devUniversity of VirginiaQuantStackUniversity of Chicagofast.aiPyMC LabsSaturn CloudBloombergTwo SigmaNASAJPMorgan Chase

Sponsorships 0

No sponsorships recorded for EPFL.

Speakers 19

SpeakerEventRoleTalkLinks
Mackenzie Weygandt MathisCompute! Paris 2026keynoteAdvancing neuroscience research with AI—
Pierre QuintonPyTorch Conference Europe 2026lightning talkLightning Talk: TorchJD: Jacobian Descent in PyTorch—
Yi JiangCIDR 2026paperData Movement-Aware GPU Sharing for Data-Intensive SystemsSlides · Paper
Kira DuweCIDR 2025paperThe Five-Minute Rule for the Cloud: Caching in Analytics Systems—
Emanuele FabbianiPyData Paris 2024talkIs your marketing effective? Let Bayes decide!—
Goran Jelic-CizmekEuroPython 2024talkInsights and Experiences of Packaging Python Binary ExtensionsVideo
Anastasia AilamakiEDBT/ICDT 2024keynoteAdaptive database systems: Navigating chaos in a Heterogeneous Landscape—
Eleni ZapridouCIDR 2024paperOligolithic Cross-task Optimizations across Isolated WorkloadsPaper
Alexander GoscinskiJupyterCon 2023posterScicode-widgets: A toolkit to bring computational thinking into the classroom—
Cécile HardebolleJupyterCon 2023speakerJupyter notebooks for education: Computational thinking in practice—
Patrick JermannJupyterCon 2023speakerJupyter notebooks for education: Computational thinking in practice—
Pierre-Olivier VallèsJupyterCon 2023speakerJupyter notebooks for education: Computational thinking in practice—
Pablo Llopis SanmillanFOSDEM 2023speakerSimplifying the creation of Slurm client environmentsSlides · Video
Hamish NicholsonCIDR 2023paperHetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient AnalyticsSlides · Video · Paper
Anna HerlihyCIDR 2022paperBoosting Efficiency of External Pipelines by Blurring Application BoundariesVideo · Paper
Panagiotis SioulasCIDR 2021paperAccelerating Complex Analytics using SpeculationVideo · Paper
Aunn RazaCIDR 2020paperGPU-accelerated data management under the test of timePaper
Aude BillardICML 2019keynoteMachine learning for robots to think fast—
Periklis ChrysogelosCIDR 2019paperHardware-conscious Query Processing in GPU-accelerated Analytical EnginesPaper