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.  

Experis | Onsite with Meta
Cognitive Scientist

January 2020 - Present

Vendor switch from Lodestone to Experis October 2021, title remained unchanged 
● 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

A/B testing
Competitive testing
Research through design 
User studies

Microsoft Office 

Google Suite 





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