Work Experience

My work experience in industry centers around the research and implementation of non-verbal human behaviors to product design, specifically as it relates to face tracking, avatar tech, and AR/VR. I have expertise in Facial Action Coding System (FACS) and use this as an everyday guide for my work. Similarly, I apply my knowledge in cognitive science to research and data collection design. I thrive in scientifically-driven environments focused on the human experience, and am well trained in both psych and UXR research methods.
January 2020 - Present
● Point-of-contact for expertise in human facial expressivity and non-verbal behavior
● Design research and data collection protocols that inform design decisions and sustain model progress
● Evaluate and monitor quality of incoming data, providing actionable direction and course-correcting where needed
● Define data collection and QA standards, auditing data and QA work to ensure high data quality
● Improve avatar appearances and UX through guiding artists and engineers in shaping avatar facial expressivity
● Foster consistent high-quality work through aligning multiple workflows to a standardized framework
● Conduct user studies assessing behaviors and perceptions of participants testing face tracking models
Facial Action Coding System (FACS)
Certification available upon request
Augmented Reality / Virtual Reality
UXR Methods
Microsoft Office
Google Suite
iWork
Scrum
Agile
SellHound
Usability Analyst
May 2018
● Conducted usability testing on newly launched website with new users
● Cognitive walkthroughs
● Final written report with design recommendations given to CEO
Data analysis
Data visualization
VertiSystem | Onsite with Meta
Senior Research Assistant
June 2018 - January 2020
● Recruited participants for data collection, corresponding with up to 30 participants per day
● Uploaded data to provide to appropriate cross-functional parties
● Collected data and performed data QA to support algorithm progress
● Assisted in overseeing project scoping and defining data and QA standards
● Trained new RAs, increasing workflow productivity