∙ Created ML models for Proof of Concept for investor pitch deck, resulting in pre-seed round∙ Designed and developed data ingestion and analysis pipeline for pose estimation and clustering video data

∙ Productize key research into social driving validation platform; pilots in progress with top tier automaker∙ Predict simulated driving behavior by measuring and modeling complex pedestrian states, and draw insights through statistical analysis of large (>10 mil data points) human behavioral datasets

∙ Designed and developed web-based experiments to characterize pedestrian-driver interactions∙ Applied cognitive science first principles to optimize annotator engagement and data quality∙ Led cross-functional team (research, web apps, data infra) to define visual, odometry, and semantic features of pedestrians to curate large (>100k) pedestrian image dataset, boosting neural net accuracy 5%∙ Led multiple single-sprint projects designed to quickly iterate on novel ideas and product directions; scoped tasks and planned resourcing of multi-functional team, resulting in filed patent∙ Developed new metrics for detecting annotator spam and low-quality data, and implemented automatic cleaning checks resulting in a 50% reduction of discarded model training data

Computational cognition and perception lab; Principal Investigator Michael S. Landy, PhD

Concepts, Actions, and Objects Laboratory; Principal Investigator Bradford Z. Mahon, PhD

Dragonfly neuroethology lab; Principal Investigator Robert M. Olberg, PhD

Pediatric epilepsy lab; Principal Investigator Kevin J. Staley, MD