Neuroscience Research
Video-Based Nystagmus Measurement
Developed computer vision and signal-processing pipelines to track involuntary horizontal eye movements from ordinary video. This research quantifies nystagmus waveforms across time, frequency, gaze, fatigue, reading, and visual-stimulation conditions, then uses computational modeling to explore how neural population activity may generate oscillatory eye motion.
Plain English Summary
“Using ordinary video, I built tools to measure how nystagmus changes across different conditions. The project combines computer vision, signal analysis, and neural modeling to better understand the patterns behind involuntary eye movement.”
Nystagmus Diagnostics
Developing advanced computer vision pipelines to track subtle, involuntary eye movements. This research focuses on quantifying nystagmus waveforms to improve the accuracy and speed of neurological assessments in clinical settings.
Plain English Summary
"We are building software that acts like a highly trained doctor's eye, watching how a patient's eyes twitch or move involuntarily to quickly spot signs of brain or nerve issues that might otherwise be missed."
EEG Biomarkers for Dementia
Analyzing electroencephalogram (EEG) data to identify early signatures of Alzheimer’s Disease and Frontotemporal Dementia (FTD). Utilizing signal processing to isolate distinct frequency anomalies that precede cognitive decline.
Plain English Summary
"By listening to the electrical 'static' of the brain, we search for specific patterns that whisper the early signs of dementia long before memory loss becomes obvious to the patient or their family."
Posters & Abstracts
A selection of presented research highlighting findings in neuro-diagnostics and computational analysis across major scientific conferences.
Plain English Summary
"Presenting and sharing key research discoveries through scientific posters and abstracts at national conferences to help advance clinical knowledge and collaborative diagnostics."
