Kyle See

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PhD Student at University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering

View the Project on GitHub Kyuros/kylesee

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.

Education

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

  1. [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.
  2. [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)
  3. [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

  1. 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.
  2. 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.

Research Experiences

Teaching Experiences

Honors & Awards