Education:
M.S. 2023, Computer Science, University of Kentucky, Lexington, Kentucky
B.S. 2021, Computer Science, University of Kentucky, Lexington, Kentucky
As a computer scientist, I aim to enhance the effectiveness of interactions between humans and machines by leveraging different areas of AI.
In my current role, I am a software engineer/researcher in the UK Center for Applied Artificial Intelligence (CAAI) and lead a team of research developers. My research interests include LoRaWAN for medical applications, smell/VOC detection and classification, and virtual assistants. I am passionate about leveraging my technical skills to contribute to the healthcare industry and improve patient care. I work closely with clinicians and healthcare researchers to develop and implement innovative solutions that address complex healthcare challenges.
A multi-modal machine learning system uses multiple unique data sources and types to improve its performance. We propose a system that combines results from sev... Read more.
Two months ago, we purchased a robot called the temi 3 (available here). This robot features a large touch screen, LIDAR for obstacle avoidance, and text-to-spe... Read more.
Acknowledgements This project is a collaboration between the Center for Applied AI and the following researchers: Dr. Yuan Wen (Institute for Biomedical Informa... Read more.
In 2021, our team started development of a LoRaWAN network (see link) to cover the University of Kentucky campus/hospital and most, if not all, of Lexington (se... Read more.
In early April 2023, Meta AI released Segment Anything (SAM), an machine-learning based segmentation model. The repository model of SAM operates on a very gener... Read more.
We developed a program that visualizes the raw input data and ML-based smell detection analysis of the SmartNanotubes Smell Inspector. The Smell Inspector is ba... Read more.
Clinicians often produce large amounts of data, from patient metrics to drug component analysis. Classical statistical analysis can provide a peek into data int... Read more.
Abstract – Many works in biomedical computer science research use machine learning techniques to give accurate results. However, these techniques may not ... Read more.
Introduction: The Institute for Biomedical Informatics is always looking for ways to improve the efficiency of our hospital system. One way to do this is throug... Read more.
Introduction: An issue for our healthcare facilities as well as many others around the country is better understanding the needs of patients. If a patient has e... Read more.