Tommy Jones
Employers on the program
- 2020–2021In-Q-Tel2 talks
Appearances by year
- Government & Public Sector R Conference (now The Government Data Science & AI Conference)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 28, 2024 | Government & Public Sector R Conference 2024 | Government & Public Sector R Conference (now The Government Data Science & AI Conference) | speaker | Detecting Automotive Quality & Safety Issues from Consumer Complaints70% of the cars on the road are between 6 and 14 years old. Most aren't equipped with sensors allowing manufacturers, regulators, and the public to see when a…Show less70% of the cars on the road are between 6 and 14 years old. Most aren't equipped with sensors allowing manufacturers, regulators, and the public to see when a vehicle platform develops a quality issue, but owners do complain about their cars online. Tommy will tell you about the process of detecting | Video |
| Nov 30, 2022 | Government & Public Sector R Conference 2022 | Government & Public Sector R Conference (now The Government Data Science & AI Conference) | speaker | Natural Language Statistics with Latent Dirichlet AllocationBecause language is one of the most abundant and information rich data sources that exists, Tommy dreams of a world where we can measure ideas and narratives…Show lessBecause language is one of the most abundant and information rich data sources that exists, Tommy dreams of a world where we can measure ideas and narratives with the same level of scientific rigor that we use to measure the economy, effects of medical interventions, and other quantitative phenomena | Video |
| Dec 8, 2021 | Government & Public Sector R Conference 2021 | Government & Public Sector R Conference (now The Government Data Science & AI Conference) | speaker | tidylda: Latent Dirichlet Allocation Using 'tidyverse' Conventions as In-Q-Tel tidylda implements the Latent Dirichlet Allocation (LDA) topic model in a way that is fast, flexible, and most importantly tidy. Wait. Who needs another LDA…Show lesstidylda implements the Latent Dirichlet Allocation (LDA) topic model in a way that is fast, flexible, and most importantly tidy. Wait. Who needs another LDA implementation though? Tommy will talk us through what makes tidylda so unique and provide examples to stir your imagination on new ways you ca | Video |
| Dec 2, 2020 | Government & Public Sector R Conference 2020 (R|Gov) | Government & Public Sector R Conference (now The Government Data Science & AI Conference) | speaker | Exploring Diagnostic Test Accuracy with Plotly Dash as In-Q-Tel Epidemics — as we have all come to see first-hand — are full of uncertainty. Diagnostic test results are no exception. Some tests are more accurate than others…Show lessEpidemics — as we have all come to see first-hand — are full of uncertainty. Diagnostic test results are no exception. Some tests are more accurate than others due to specific characteristics of the test, and in some cases it may be important to consider the trade-offs of various tests before deploy | Video |
| 2019 | DC R Conference 2019 | Government & Public Sector R Conference (now The Government Data Science & AI Conference) | speaker | Optimizing Topic Models for Classification TasksTopic models are hard to evaluate as the variables they measure are latent, i.e. unobserved. Most topic model evaluation has focused on coherence metrics to…Show lessTopic models are hard to evaluate as the variables they measure are latent, i.e. unobserved. Most topic model evaluation has focused on coherence metrics to mimic human judgment or preference. Yet topic models are often not used merely for the pleasure of the human eye. Instead, topic models are oft | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Marck Vaisman | 5 | — | 2024 |
| Alex Gold | 4 | — | 2024 |
| Refael Lav | 4 | — | 2024 |
| Jared Lander | 4 | — | 2022 |
| Benjy Braun | 3 | — | 2024 |
| David Meza | 3 | — | 2024 |
| Tyler Morgan-Wall | 3 | — | 2024 |
| Abhijit Dasgupta | 3 | — | 2021 |
| Selen Stromgren | 2 | — | 2024 |
| William E. J. Doane | 2 | — | 2024 |
| Asmae Toumi | 2 | — | 2022 |
| Danya Murali | 2 | — | 2022 |
| David Shor | 2 | — | 2022 |
| Maxine Drake | 2 | — | 2022 |
| Brook Frye | 2 | — | 2021 |
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.