Data Conference Databasea Query.Farm index
Companies

Caltech

Product category (jev): Not a vendor 100% confident
Org type (jev): University / research 100% confident
Also listed as: Caltech CTME · Caltech/IPAC
Conferences sponsored1
Events sponsored1
Speaker slots95 distinct people
Conferences present at4sponsor or speaker
Years active2019–2026

Circuit mix

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

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.

  • Title
  • Platinum
  • Gold
  • Silver
  • Bronze
  • Other / unlabeled tier
  • Had speakers

Activity by year

Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.

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.

Sponsorships by tier

Sponsorship rows per year (one per event and listing), stacked by normalized tier.

  • Silver

Where they've grown or pulled back

DownNothing recorded in 2026; sponsored 1 conference in 2022.

Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.

Pulled out 1

Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.

  • Data Con LAlast sponsored 2022; the conference ran again in 2023–26

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. UCLA0.83
  2. Arizona State University0.79
  3. StarRocks0.71
  4. QuantStack0.69
  5. Rice University0.67
  6. Posit0.66
  7. prefix.dev0.62
  8. University of Virginia0.61

8 Cluster: PyData · posit::conf circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).

Neighborhood: companies with nearby conference footprints

Caltech (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.

CaltechArizona State UniversityUCLAprefix.devRice UniversityModernaColumbia UniversitySaturn CloudCarnegie Mellon Universityfast.aiCovalentDuke UniversityCoiledUrsa LabsUniversity of Illinois Urbana-ChampaignVoltron DataUniversity of ChicagoUniversity College LondonEPFLNubankBooking.comSpace Telescope Science InstituteMozillaPositNumFOCUSTechnical University of MunichQuansight
CaltechArizona State UniversityUCLAUniversity of Virginiaprefix.devQuantStackModernaSaturn Cloudfast.aiCovalentDuke UniversityUrsa LabsVoltron DataUniversity of ChicagoUniversity College LondonEPFLNubankBooking.comMozillaPositTechnical University of Munich

Sponsorships 1

EventDatePlaceTier as listedNormalized tier
Data Con LA 2022Aug 13, 2022Los Angeles, United StatesSilver Silver

Speakers 9

SpeakerEventRoleTalkLinks
Joshua CookData Con LA 2026speakerExtraction Trees: Reliable Structured Data from Messy TextVideo
Brigitta SipőczSciPy 2023speaker[BoF Room 103] SciPy 2023 Sprint Prep BoF—
Brigitta SipőczSciPy 2023speakerOpen Source Sprints [Kickoff in Room 204]—
Brigitta SipőczSciPy 2023speakerOpen Source Sprints [Kickoff in Room 204]—
Ash PahwaData Con LA 2022speakerTransformers for NLP—
Ash PahwaData Con LA 2021speakerThe Future of Language Models—
Manu FloresPyData Los Angeles 2019speakerAnalyzing genetic networks using neural networksVideo
Katie BoumanSpark + AI Summit Europe 2019keynote——
Ash PahwaData Con LA 2019speakerOptimization Algorithms for Deep Learning—