As a graduate research assistant in the Neuromechanics Laboratory at CU-Boulder, my thesis work focused on neuroeconomics and the role of risk-sensitivity in motor control.
As a research scientist at the Shirley Ryan AbilityLab, I use wearable technology and machine learning techniques to evaluate clinical and real-world outcomes of patient populations.
After a stroke, it can be difficult to move around the community due to various motor and cognitive impairments.
We evaluate mobility after stroke from smartphone-based data, using activity recognition and GPS-tracking from the phone sensors.
Risk arises naturally in sensorimotor control. Our movements are inherently variable, meaning we cannot make exactly the same movement twice. When choosing a movement strategy, one must consider variability as well as the rewards and penalties that accompany a movement.
Using principles of statistical decision theory, we investigated whether people appropriately account for their own movement variability and the explicit reward/penalty structure of different motor tasks.
Emotions can play an important role in decision making. We examined how threatening environments can alter our perceptions of risk during movement.
In the news: http://www.wired.com/dangerroom/2012/08/movement-control/
Effort is a predominant cost of movement. How do people internalize this cost in different movement scenarios, and how does a subjective interpretation of effort affect motor planning and execution?
We used lottery paradigms and forced-choice decisions to quantify the subjective value of movement effort. We compared these subjective values to objective measures of effort as well as subjective values of other commodities, such as money.