Benjamin Lebrun
Neuropsychologist at University of Canterbury
New Zealand
Summary
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Rockstar🎓
Top SchoolBenjamin Lebrun is a French neuropsychologist and PhD candidate in Psychology based in New Zealand, focused on how people perceive "phantom costs" in human-robot interaction, including attributions of negative intentions and risk. With nine years of experience spanning clinical neuropsychology, research engineering, and teaching, he blends rigorous patient-facing assessment skills with experimental design and physiological measurement techniques. His work bridges cognitive and social psychology—drawing on bio-physiological methods like skin conductance and pupillometry—and he has hands-on coding experience for HRI studies (HTML/JS/R) and practical backend debugging in an open-source network analytics project. He aims to transition from applied clinical roles to an academic career as a university professor, leveraging international research stints and interdisciplinary collaborations. A less obvious strength is his fluency moving between clinical report-writing and low-level data troubleshooting, making him effective at turning messy real-world data into publishable science.
9 years of coding experience
1 year of employment as a software developer
PhD Student in Psychology, PhD Student in Psychology at University of CanterburyMaster's degree, Psychology of Neurocognitive Processes and Affective Sciences, Master's degree, Psychology of Neurocognitive Processes and Affective Sciences at University of Lille 1 Sciences and TechnologyMaster's degree, Integrated Master in Psychology, Neuroscience and cognitive psychology, Master's degree, Integrated Master in Psychology, Neuroscience and cognitive psychology at Universidade do Minho
French, English, German, Portuguese
Github Skills (13)
go10
mongodb10
mongodb-database10
debug9
debugging9
database-management9
analyse8
security8
analytics8
threat-model8
logfile7
logger7
logging7
Programming languages (6)
Github contributions (5)
activecm/rita-legacy
Oct 2016 - Feb 2020
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
Role in this project:
Backend Developer
Backend DeveloperContributions:29 commits, 19 PRs, 32 pushes in 3 years 4 months
Contributions summary:Benjamin primarily contributed to bug fixes and made code updates to address errors related to database aggregation within the `rita-legacy` repository. Their commits reveal debugging efforts and modifications within the `database/control.go` file, specifically focused on resolving aggregation issues, including identifying and addressing scenarios with empty database collections. The user also made a minor update to the dependency used by the project, as well as preparing the code for a pull request.
traffic-analysistrafficbeacon-sniffercommand-and-controlthreat-intelligence
bglebrun/CENG447FinalLab
Apr 2019 - Sep 2023
Contributions:26 pushes, 4 branches in 4 years 5 months
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