User Scientist - AI/ML Data

Currently Managing Scientist at Exponent

As a User Sciences consultant, I help Exponent’s clients solve complex technical problems related to user data acquisition, cleaning, organization, storage, analysis, and insight. Since 2023, I have managed large-scale user study operations that leverage advanced sensors to gather data from thousands of users in sophisticated research protocols. This work provides engineering teams with the diverse-yet-structured data they need to continually improve the AI/ML products and algorithms we rely on every day.

Previously Wolpert Lab at Columbia University and 3D IPA Lab at Brown University

In my prior academic career as a cognitive neuroscientist, I investigated human sensorimotor function, often focusing on how humans learn to skillfully interact with objects. Object manipulation is obviously essential in our daily lives, but it’s also an excellent model behavior for cognitive neuroscience because it relies on many different cognitive processes including perception, learning & memory, reasoning, and social cognition.

I’m always thinking about how to combine interactive technology and advanced sensing technology to enhance the study of human behavior. Most of my original research leveraged virtual/augmented reality, motion capture, and haptic interfaces to create real and virtual object interactions in order to shed light on challenging questions in psychology and neuroscience. Due to the data-intensive nature of my work, I try to stay on the bleeding edge of rapidly shifting trends in data pipelines, AI/ML, cloud computing, web technologies, UX research, and more.

I’m also the creator of the open-source Ouvrai package. Ouvrai helps researchers conduct online unmoderated VR studies and other complex behavioral research requiring a high degree of interactivity from remote participants.