The Fatigue Countermeasures Laboratory at NASA Ames aims to better understand the influence of sleep and sleep-related issues on human performance and safety and to provide countermeasures to such effects for the benefit of future NASA missions. For example, the team studies the effects of sleep loss and intervention during vital periods of the circadian rhythm on one’s alertness, cognitive function, and sleep inertia.
More details on the Fatigue Countermeasures Laboratory can be found here: Fatigue Countermeasures Laboratory
In Summer 2019, I developed a prototype iOS phone application that utilizes machine learning to recognize and classify different types of fruits from in-app or uploaded photos. I trained the model using python Turicreate and implemented the app via XCode.
App development and machine learning were both fields that I had no experience with, but the challenge pushed me to learn, analyze, and solve unique problems and provided me with a new perspective of software development. This was the project that ultimately led to me to pursue a career in software engineering and development; I was enticed by the prospect of continuous learning and discovery of different fields, as well as the problem solving techniques that came with designing algorithms.