Dominic Canare
Product Specialist & Research Consultant at Green Light Go
Wichita, Kansas, United States
Summary
👤
Senior🎓
Top SchoolDominic Canare is a product specialist and research consultant with 14 years of experience at the intersection of software, human-computer interaction, and practical product delivery. A PhD candidate in Human Factors Psychology, he blends rigorous HCI research with hands-on engineering—contributing backend support to notable open-source tools like PsychoPy to integrate Pupil Labs eye trackers into neuroscience workflows. As founder of Green Light Go and co-founder of the Wichita maker nonprofit MakeICT, he has built desktop and web applications, automation systems, and physical-computing projects while also teaching and organizing community tech events. Currently at Pupil Labs he helps translate device capabilities into usable product experiences, drawing on prior developer-experience work at Intel and healthcare systems integration. Known for bridging academic research and practitioner engineering, he brings a rare mix of usability insight, systems-level coding, and community-driven product building.
13 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Pittsburg State UniversityDoctor of Philosophy - PhD, Human Factors Psychology, Doctor of Philosophy - PhD, Human Factors Psychology at Wichita State University
Github Skills (2)
controls10
python10
Programming languages (8)
Github contributions (5)
psychopy/psychopy
Mar 2018 - Feb 2025
For running psychology and neuroscience experiments
Role in this project:
Backend Developer
Backend DeveloperContributions:6 PRs, 5 comments, 3 issues in 7 years
Contributions summary:Dominic primarily focused on extending the functionality of the PsychoPy library, a tool for running psychology and neuroscience experiments, by adding support for the Pupil Labs Neon eye tracker. This involved modifications to the settings components, iohub utilities, and device-specific modules to integrate the Neon eye tracker into the experiment workflow. The contributions included adding configuration options, device paths, and event handling mechanisms. The user also contributed to documentation to help users set up the Neon eyetracker.
neurosciencepythonexperiment-controlcognitive-scienceopenscience
pupil-labs/pl-neon-recording
Jun 2024 - Mar 2025
An API for working with raw data from Neon recordings
Contributions:2 releases, 1 review, 2 PRs in 9 months
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