Data Conference Databasea Query.Farm index
Companies

Flatiron Health

Product category: unsure; best guess “Data providers” at 40% confidence, so it isn't used in filters or charts
Org type: Software vendor 74% confident
Conferences sponsored1
Events sponsored1
Speaker slots1110 distinct people
Conferences present at7sponsor or speaker
Years active2019–2025

Circuit mix

Where Flatiron Health 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.

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.

  • Gold

Where they've grown or pulled back

DownNothing recorded in 2026; sponsored 1 conference in 2019.

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.

Once or on and off 1

No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.

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. FHNW0.71
  2. Warsaw University of Technology0.70
  3. Spare Cores0.67
  4. Picnic0.62
  5. Roche0.62
  6. Appsilon0.59
  7. WHOOP0.58
  8. Posit0.58

4 Cluster: PyData · PyCon circuit →

Often sponsors alongside

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

CompanyShared eventsShare
Coatue1100%
Codecademy1100%
NausicaaDistribution1100%
ODSC1100%
Pearson1100%
Planted1100%
R Consortium1100%
RStudio1100%

Neighborhood: companies with nearby conference footprints

Flatiron Health (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.

Flatiron HealthVrije Universiteit AmsterdamWarsaw University of TechnologyFHNWVoltron DataOrdinaMozillaIIT BombayManningmarimoinsitroKLM Royal Dutch AirlinesMor ConsultingVonageTwitterAnsysYelpAnyscalePacktNumFOCUSOpenTeamsCanonicalDevITjobsBCGGotoMLJARAnacondaAustralian National UniversityEpisource
Flatiron HealthVrije Universiteit AmsterdamWarsaw University of TechnologyFHNWVoltron DataOrdinaMozillaIIT BombayManningmarimoinsitroMor ConsultingJetBrainsVonageTwitterAnsysYelpAnyscalePacktNumFOCUSOpenTeamsCanonicalBCGGotoMLJARAustralian National University

Sponsorships 1

EventDatePlaceTier as listedNormalized tier
New York R Conference 2019May 10–11, 2019New York, United StatesGold Gold

Speakers 11

SpeakerEventRoleTalkLinks
Benjamin WagneruseR! 2025posterReproducible Research at Scale using R—
Nicole NasrallahuseR! 2025posterReproducible Research at Scale using R—
Florian StefanEuroPython 2025talkAccelerating privacy-enhancing data processingVideo
Katie LinSnowflake Summit 2025speakerHow Flatiron Health and UCHealth Share Data to Reduce Onboarding Time by 70%—
Kevin PredmoreSnowflake Summit 2025speakerHow Flatiron Health and UCHealth Share Data to Reduce Onboarding Time by 70%—
Florian StefanEuroPython 2024talkDBT & Python - How to write reusable and testable pipelinesVideo
Catherine Miller17th Annual CDOIQ Symposiumspeaker——
Jacqueline GutmanPyData New York City 2019speakerSimplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming ApproachVideo
Marius van NiekerkPyData New York City 2019speakerA How-to guide for migrating legacy data applicationsVideo
Rohit KapurPyData New York City 2019speakerA How-to guide for migrating legacy data applicationsVideo
Bonnie RheeDash 2019speakerA Tale of Two System Crashes: Innovation and Accidental Chaos—