Flatiron Health
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.
- Python & R data science67%5 events
- Vendor flagships & roadshows22%2 events
- Enterprise, analyst & AI expos11%1 event
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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| EuroPython | ||||||||
| New York R Conference (now The New York Data Science & AI Conference) | ||||||||
| PyData | ||||||||
| Snowflake Summit | ||||||||
| useR! (The R User Conference) | ||||||||
| DASH | ||||||||
| MIT CDOIQ Symposium |
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).
- FHNW0.71
- Warsaw University of Technology0.70
- Spare Cores0.67
- Picnic0.62
- Roche0.62
- Appsilon0.59
- WHOOP0.58
- 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).
| Company | Shared events | Share |
|---|---|---|
| Coatue | 1 | 100% |
| Codecademy | 1 | 100% |
| NausicaaDistribution | 1 | 100% |
| ODSC | 1 | 100% |
| Pearson | 1 | 100% |
| Planted | 1 | 100% |
| R Consortium | 1 | 100% |
| RStudio | 1 | 100% |
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.
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| New York R Conference 2019 | May 10–11, 2019 | New York, United States | Gold | Gold |
Speakers 11
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Benjamin Wagner | useR! 2025 | poster | Reproducible Research at Scale using R | — |
| Nicole Nasrallah | useR! 2025 | poster | Reproducible Research at Scale using R | — |
| Florian Stefan | EuroPython 2025 | talk | Accelerating privacy-enhancing data processing | Video |
| Katie Lin | Snowflake Summit 2025 | speaker | How Flatiron Health and UCHealth Share Data to Reduce Onboarding Time by 70% | — |
| Kevin Predmore | Snowflake Summit 2025 | speaker | How Flatiron Health and UCHealth Share Data to Reduce Onboarding Time by 70% | — |
| Florian Stefan | EuroPython 2024 | talk | DBT & Python - How to write reusable and testable pipelines | Video |
| Catherine Miller | 17th Annual CDOIQ Symposium | speaker | — | — |
| Jacqueline Gutman | PyData New York City 2019 | speaker | Simplified Data Quality Monitoring of Dynamic Longitudinal Data: A Functional Programming Approach | Video |
| Marius van Niekerk | PyData New York City 2019 | speaker | A How-to guide for migrating legacy data applications | Video |
| Rohit Kapur | PyData New York City 2019 | speaker | A How-to guide for migrating legacy data applications | Video |
| Bonnie Rhee | Dash 2019 | speaker | A Tale of Two System Crashes: Innovation and Accidental Chaos | — |