I am currently a Ph.D. student at the University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering. I am driven by my fascination in coding and problem solving and want to develop the tools to unravel the intricacies in the brain. My work with Dr. Ruogu Fang’s SMILE Lab involves machine learning and neuroscience focusing on understanding and predicting neural connections. My recent studies include classifying movement with functional magnetic resonance imaging and understanding spinal cord stimulation through electroencephalography.
University of Florida, Gainesville, FL, Ph.D. student in Biomedical Engineering
Smart Medical Information Learning and Evaluation Lab, Aug 2019 - Present.
University of Florida, Gainesville, FL, B.S. in Biomedical Engineering
Imaging & Medical Physics Specialization, Jan 2017 - May 2019.
Conference & Workshop Publications
Conference Poster Presentations
- [CMU Forum’20] Kyle See, Rachel Judy, Stephen Coombes PhD, Ruogu Fang PhD, “Predicting Short-term and Long-term Effects of Spinal Cord Stimulation”, Carnegie Mellon Forum on Biomedical Engineering, Pittsburgh, PA, 18-19 Sep 2020.
- [BMES’19] Kyle S., Coombes, S., and Ruogu F. “Classification of Neural Stimulations in the Brain with Super Voxels” BMES Annual Conference, Philadelphia, PA, 16-19 October 2019. (UF BME Student Travel Award)
- [BMES’18] Kyle S., Simeng Z., and Ruogu F. “Decision Tree-based Classification for Differentiating System Lupus Erythematosus and Mixed Connective Tissue Disease” BMES Annual Conference, Atlanta, GA, 17-20 October 2018. (UF BME Student Travel Award)
Other Poster Presentations
- Kyle See, Rachel Ho, Stephen Coombes PhD, Ruogu Fang PhD, “Predicting Short-term and Long-term Effects of Spinal Cord Stimulation”, Pruitt Research Day, Gainesville, FL, 20 Nov 2020.
- Kyle S., Rachel J., Stephen C., Ruogu F. “TL1 Team Approach to Predicting Pain from EEG: Understanding Chronic Low Back Pain Status from Resting Electroencephalography using Artificial Intelligence” MD-PhD & CTSI Research Day, University of Florida, Gainesville, FL, 15 May 2020.
- Graduate Research Assistant, Smart Medical Informatics Learning and Evaluation (SMILE) Lab, Aug 2019 - Present
- Developing machine learning models in brain mapping to predict limb movement with non-invasive medical imaging.
- Predicting responders of spinal cord stimulation therapy to reduce amount of unnecessary surgeries and streamline the trial period.
- Undergraduate Researcher, Smart Medical Informatics Learning and Evaluation (SMILE) Lab, May 2018 - Apr 2019
- Honors thesis focused on developing classification models to understand neural activation pathways within the brain in collaboration with UF rehabilitation neuroscience lab.
- Implemented machine learning to understand differences between similar autoimmune diseases.
- Research Experiences for Undergraduates (NSF REU #1564892), Smart Medical Informatics Learning and Evaluation (SMILE) Lab, Nov 2017 - May 2018
- Developed classification models in autoimmune disease analytics to differentiate diseases with overlapping symptoms and characteristics.
- Collaborated with medical professionals to address current autoimmune disease diagnosis.
- Supervised Teaching Student, Computer Applications for Biomedical Engineering, Jan 2021 - Present.
- Teaching Assistant, Computer Applications for Biomedical Engineering, Aug 2018 - May 2019.
- Teaching Assistant, Computer Programming for Engineers, Aug 2017 - May 2018.
Honors & Awards
- NIH CTSI TL1 Predoctoral Fellowship, Spring 2020
- UF BME Department-funded Individual Travel Award, Fall 2019
- Graduate Student Preeminence Award, Fall 2019
- UF BME Department-funded Individual Travel Award, Fall 2018
- UF Dean’s List, Fall 2018
- Haskell’s Scholarship Award Recipient, Jacksonville, FL, 2016
- UNF Dean’s List, 2015