Academic Research
Ray Tracing GPU Architecture [
2021]
When I began my PhD at the University of Utah, I worked in the Utah Graphics Lab’s Hardware Raytracing Group. Over the years, they have developed numerous GPU architectures to facilitate ray tracing, even influencing NVIDIA’s RTX architecture.
My role involved developing a cycle-accurate hardware simulator for testing and designing many-thread architectures.
More information can be found here.
Electrochemiluminescence (ECL) Biosensor [
2017-2020]
While at Andrews University, I assisted in the development of a mobile ECL biosensor platform.
My role involved the development of machine learning models for detecting ECL reactant concentrations (dopamine & ruthenium) using reaction image sequences. This included the development of a desktop application for automated model testing and data/image analysis.
I was also responsible for developing mobile and Raspberry Pi applications for controlling and capturing ECL reactions.
This projects was funded by the NSF (CBET 1706597).
Publications
Development of a smartphone-based electrochemiluminescence biosensor for dopamine detection in advanced breast cancer [Cancer Research, 2020]
Development of smartphone-based ECL sensor for dopamine detection: Practical approaches [Results in Chemistry, 2020]
Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence [Sensors, 2020]