I am a postdoctoral scholar at Stanford University in the School of Medicine working on stress and wellbeing interventions in the Pervasive Wellbeing Technology Lab with Dr. Pablo Paredes and collaborating with Stanford HCI. I received my Ph.D from the Department of Computer Science at the University of Maryland in August of 2018. My research was advised by Dr. Jon E. Froehlich and I was an early student member of the Makeability Lab—a lablet of the Human-Computer Interaction Lab that focused on "Making with a Social Purpose". Here I contributed to a number of projects including the design of wearbles devices, early education technologies, and tools for DIY thermographic energy auditing which was the focus of my dissertation (see "Pervasive Thermography"). My undergraduate and prior graduate work was completed at the University at Albany in upstate New York. When not doing research, I am trying to: travel, hike around the west coast, and contribute to indie video game projects via The Dirigiballers, LLC.
We are looking for full-time research associates to help with designing, developing, and evaluating stress and wellbeing intervention technologies. Students available for part-time engagements are also encouraged to apply. Please visit our recruitment ad for more information.
Previously I contributed to the NSF funded "Smart & Connected Kids for Sustainable Energy Communities" project (Award #1737565), where I collected data about family energy habits using an ESM/EMA protocol and briefly collaborated with the University of Oxford's METER team to help design a next-generation mobile application to support energy education and behavioral intervention programs with smart meters in Northern California.
My dissertation focused on developing new methods and tools for thermographic energy auditing of the built environment. By leveraging advances in machine learning, image processing, and information visualization techniques, I developed an easy-to-deploy, temporal thermographic system that supports human-oriented data collection and analysis. I evaluated this system lab studies and field deployments. My goal with this research was to (i) understand and learn from current thermographic energy auditing practices, (ii) advance the state-of-the-art in terms of interactive building thermography systems, and (iii) enable future, scalable, public auditing of the built environment. The most up-to-date information about the project can be found on the lab's project page for "Pervasive Thermography".
I briefly joined the EventFlow team to look at incorporating a mixed-initative interface in to the temporal event sequence analytic software. The results of our early usability studies were published as a Late Breaking Work at CHI2016 and received a Best Paper Honorable Mention.
I regularly volunteered on the University of Maryland's Kidsteam as a adult design partner and occasional subject matter expert during design sessions. I co-authored several papers reviewing the ethical implications of codesign with children while I was a graduate student in the Human-Computer Interaction Lab.
I briefly contributed to BodyVis to help with the engineering and deployment of the early wearable prototypes, the analysis of the collected data, and the writing of the paper. The submission went on to receive an Best Paper Honorable Mention at CHI2015 and the project went on to receive funding from NSF launching two or three PhD dissertations before I graduated from UMD.
This wearable project entitled Social Fabric Fitness was my first in the Makeability Lab; it focused on the design and testing of wearable displays to support group running activities, but also served as a provocation of personal informatics by making running data publicly viewable. This project was presented at CHI2014 and also helped launch the ILikeThisShirt project.
My first project in the Human-Computer Interaction Lab looked at teaching children computational thinking through games. With the lead graduate student, I assited with the engineering of a platform for creating educational games entitled CTArcade. I also conducted the user studies and helped with both analysis of the collected data and writing of the extended abstract and folloup journal publication.
Before starting my Computer Science PhD, I briefly took courses in UMD's Department of Aerospace Engineering and I worked on The Cooperative Reconnaissance & Extraterrestrial Science Team—a concept for a Martian rover that was submitted to the Revolutionary Aerospace System Concepts Academic Linkage (RASCAL) competition. I helped develop the concept for the rover, designed the software systems and sensors, and presented the work during the competition. Additionally, I built a small simulation of the rover in the Unreal Engine to support our outreach activities. My team and I tied with MIT for first place in the graduate student division.