# Mindy Chang > Researcher | Artist | PhD Location: San Francisco Bay Area, United States Profile: https://flows.cv/mindychang Researcher, artist, and creative technologist with a passion for exploring the intersection of health & wellbeing, technology, and the arts. I’m interested in finding ways to help people thrive by creating experiences that inspire awe, creative flow, and meaningful social connections. My background includes a PhD in bioengineering/neuroscience from Stanford, engineering degree from MIT, and experience in wellbeing research, data analytics, and immersive technologies. ## Work Experience ### Curriculum Developer @ Cisco Networking Academy Jan 2025 – Present - Developed courses for the “Apply AI” series - Contracted via Relanto ### Researcher - XR health & wellbeing @ Meta Jan 2022 – Jan 2023 - Led and developed mixed methods research studies for pilot programs that explored the use of XR technology to improve employee health and wellbeing - Contracted via Elevate Staffing ### Research / Data Analytics Consultant @ Hopelab Jan 2020 – Jan 2021 - Developed engagement analytics for 3 digital behavioral health interventions for teens/young adults - Presented workshops on social media text analysis and data ethics ### VR Designer / Developer @ ScienceVR Jan 2018 – Jan 2019 Designed and developed interactive VR experiences for STEM education where players step into the labs of historical scientists/thinkers and learn through hands-on experiments - Created an Ada Lovelace experience to teach coding principles through music-making, installed at the National Taiwan Science Education Center - Designed and prototyped interactions for Charles Babbage’s first computer, Luigi Galvani’s animal electricity, Alessandro Volta’s first battery, and Lewis Carroll’s Game of Logic ### Data Scientist - Analytics @ Airbnb Jan 2017 – Jan 2018 | San Francisco Bay Area - Designed and implemented dashboards and data pipelines for bad guest experience metrics, host suspensions, host/listing churn, and Airbnb Plus homes onboarding for product launch - Proposed and created an internal cross-functional team website as a centralized onboarding resource ### Data Analytics Consultant @ Keewi Inc Jan 2016 – Jan 2016 Developed data analytics for IoT data on energy consumption from individual electrical outlets ### Data Analyst / Product Development Engineer @ Intel Corporation Jan 2014 – Jan 2016 | Perceptual Computing Managed entire pipeline of manufacturing data for RealSense 3D cameras from early development to high volume production - Proposed and developed a real-time dashboard to visualize product health and production status - Led the standardization of all factory test logs and streamlined data process flow - Co-created an automated system for firmware validation and developed a website with real-time results to eliminate labor-intensive manual tests and significantly shorten development cycles ### Research Engineer @ Intel Corporation Jan 2012 – Jan 2014 | Perceptual Computing Researched and developed biosensing technologies for Intel’s Perceptual Computing initiative on adding human-like senses to devices - Prototyped usages, developed algorithms, and conducted user research experiments to evaluate electrocardiogram (ECG) and biosensor technologies for new business opportunities - Evaluated Emotient emotion detection based on facial expressions for inclusion in RealSense SDK and validated RealSense camera-based pulse estimation using medical-grade ECG ### Post-Stroke Vision Rehabilitation research and design @ Self directed Jan 2014 – Jan 2016 Developed individualized visual training and assessment software and exercises for stroke rehabilitation; tracked the daily progress of a stroke patient and iteratively modified the exercises ### Graduate Research Fellow @ Stanford University - Department of Neurobiology Jan 2006 – Jan 2012 - Investigated the roles of variability and synchrony of neural activity in the context of visual attention and working memory, using signal processing techniques - Quantified neural coding of sensory information within populations of neurons in the visual cortex, using techniques from signal detection theory, machine learning, and information theory - Designed and developed a system for sonification and visualization of neural data to make neuroscience discoveries accessible and engaging for a general audience ### Research Assistant @ Stanford University - Movement Disorders Lab Jan 2006 – Jan 2006 Analyzed neural activity during Deep Brain Stimulation in Parkinson’s Disease patients ### Intern - Neuroengineering Lab @ NASA Ames Research Center Jan 2004 – Jan 2004 Developed and implemented a Bayesian algorithm to decompose electromyogram (EMG) signals to demonstrate the potential for using muscle activity in human computer interaction ### Undergraduate Research Assistant @ MIT Research Lab of Electronics Jan 2003 – Jan 2004 Modeled auditory perception of music ## Education ### PhD in Bioengineering / Neuroscience Stanford University ### MS in Bioengineering Stanford University ### BS in Electrical Engineering and Computer Science, minor: Bioengineering Massachusetts Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/mindyhchang - Website: http://www.mindychang.com --- Source: https://flows.cv/mindychang JSON Resume: https://flows.cv/mindychang/resume.json Last updated: 2026-04-08