Thuy Nguyen

EDUCATION

College / University

Michigan State University

Highest Degree

Bachelor of Science

Major Subjects

Computational Data Science, Cognitive Science

Country

Vietnam

Lab Experience

Electroencephalogram (EEG), Functional Magnetic Resonance Imaging (fMRI), Intra-cortical Micro-stimulation (ICMS), Electromyography (EMG), Ultrasound, Psychophysics Experiment Design, Time-series Analysis, Machine Learning/Deep learning, Signal Processing, Clustering, Bayesian Statistics, Motion Tracking, MATLAB, Python, R

Projects / Research

2026: Senior Capstone Project, “Automatic Rapid Ultrasound in Shock (RUSH) Video Segmentation”
2025: Research Intern, Rehabilitation and Neural Engineering Laboratory (RNEL), University of Pittsburgh – “Decoding between Gaps: Improving Bidirectional Brain-computer Interfaces using Gaps in Stimulation feedback”
2024 – 2025: Actively participated in a research lab about longitudinal effects of Mantra Meditation and Breath-Focused Meditation using EEG
2024: Research Intern, “Remote Surveillance System for Post-DBS Parkinson’s Disease Patients”, Institute of Brain-inspired Intelligence Science and Technology, Fudan University
2022 – 2023: Actively participated in a research lab about fuzzy-set based clustering algorithm

Scholarships / Awards

2025 – 2026:	W. R. Brown Engineering Scholarship
2024:	Global Research Immersion Program for Young Scientists
2022 – 2026:	President’s Scholarship

SCIENTIFIC INTERESTS AND GOALS

My current scientific interests center on developing robust, adaptive closed-loop neurorehabilitation strategies. This sparked my interest, as current strategies have shown positive results in neurorehabilitation, but their effectiveness widely varies across patients and clinical centers, making it important to develop strategies that are both standardized across institutions and patient centered. At the same time, I am also open to exploring different aspects of neuroscience, particularly degenerative diseases and theoretical neuroscience. Building on these interests, I aim to dive deeper into neurorehabilitation, especially in accessible closed-loop rehabilitation techniques that integrate bidirectional neural interfaces and brain stimulation for mental and somatosensory rehabilitation.