Mitchell O'Hara-Wild
Employers on the program
- 2026Monash University1 talk
- 2023–2024Nectric4 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.
Appearances by year
- useR! (The R User Conference)
- New York R Conference (now The New York Data Science & AI Conference)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 6, 2026 | useR! 2026 | useR! (The R User Conference) | speaker | Semantic vectors for safer statistics as Monash University Statistical analysis on temporal, spatial, graph, and probabilistic data is error-prone when the data types lack intrinsic structure. | |
| Jul 8, 2024 | useR! 2024 | useR! (The R User Conference) | speaker | Statistical Computing with Vectorised Distributions as Nectric The uncertainty of model outputs is often absent or hidden in R, and tools for interacting with distributions are limited. | |
| Jul 8, 2024 | useR! 2024 | useR! (The R User Conference) | workshop | Tidy Time Series Analysis and Forecasting as Nectric Organisations of all types collect vast amounts of time series data, and there is a growing need for time series analytics to understand how things change in…Show lessOrganisations of all types collect vast amounts of time series data, and there is a growing need for time series analytics to understand how things change in our fast-moving world. | |
| Jul 13, 2023 | New York R Conference 2023 | New York R Conference (now The New York Data Science & AI Conference) | talk | From Forecast to Fable, Design Decisions for Statistical Software as Nectric | SlidesVideo |
| Jul 13, 2023 | New York R Conference 2023 | New York R Conference (now The New York Data Science & AI Conference) | workshop | Workshop: Tidy Time Series and Forecasting in R as Nectric | |
| Jul 9, 2019 | useR! 2019 | useR! (The R User Conference) | speaker | Flexible futures for fable functionalityThe fable ecosystem provides a tidy interface for time series modelling and forecasting, leveraging the data structure from the tsibble package to support a…Show lessThe fable ecosystem provides a tidy interface for time series modelling and forecasting, leveraging the data structure from the tsibble package to support a more natural analysis of modern time series. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| David Granjon | 3 | — | 2026 |
| Edzer Pebesma | 3 | — | 2026 |
| Henrik Bengtsson | 3 | — | 2026 |
| Roger Bivand | 3 | — | 2026 |
| Thierry Onkelinx | 3 | — | 2026 |
| Torsten Hothorn | 3 | — | 2026 |
| Adam Forys | 2 | — | 2026 |
| Anqi Fu | 2 | — | 2026 |
| Antoine Fabri | 2 | — | 2026 |
| Aymeric Stamm | 2 | — | 2026 |
| Balasubramanian Narasimhan | 2 | — | 2026 |
| Charlie Gao | 2 | — | 2026 |
| Christoph Sax | 2 | — | 2026 |
| Claudiu Forgaci | 2 | — | 2026 |
| Daniele Girolimetto | 2 | — | 2026 |
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.