Experience

Brown University School of Engineering

• United States
• Higher Education
• 1 - 100 Employee

• PhD Candidate - Biomedical Engineering

  • Jul 2017 - Present

  Studied the causal relationship between sensory and motor cortices in modulating the complex movement using multivariate modeling and Granger causality.Decode the stiffness of grasping surfaces using machine learning techniques. Reconstructed pressure signals from sensory and motor neurons activities using LSTM.Investigated the contribution of Dopamine in motor decoding.

• Research Assistant

  • Aug 2017 - Present



International University - VNU HCMC

• Vietnam
• Higher Education
• 200 - 300 Employee

• Teaching Assistant

  • May 2015 - Jun 2017

  Independently instructed weekly classes and labs for Principle of Electrical Engineering I and BME Capstone Design students and held office hours, TA classes to assist students with discussing lectures, interpreting data, preparing experiments, and writing reports. Co-instructed and held office hours and graded for Physics I, II, and III. Independently instructed weekly classes and labs for Principle of Electrical Engineering I and BME Capstone Design students and held office hours, TA classes to assist students with discussing lectures, interpreting data, preparing experiments, and writing reports. Co-instructed and held office hours and graded for Physics I, II, and III.



University of Victoria

• Canada
• Higher Education
• 700 & Above Employee

• Research Internship

  • Jun 2014 - Sep 2014

  Developed new signal processing methods to remove motion artifacts on electrocardiogram (ECG) signals in real-time in MATLAB and Python; compared the robustness of different methods in noise removal in real-time applications. Examined the effectiveness of principal component analysis (PCA) to reduce dimensionality and for feature extraction of the real-time ECG data. Applied Independent component analysis (ICA) to separate independence components from ECG data. Improved the accuracy of noise removal by 35% and reduced computation work by 25% compared to published works. Presented results in a conference held by the Department of Electrical and Computer Engineering.