Experience

Researcher

• Working on Sensitivity of High-Fidelity Neural Interfaces to Perturbations
• Developing algorithms for robust motor unit decomposition
• Investigating effects of signal quality on neural interface performance

MSc Students Advisor:

• Daniel Fasel, Aalto University (2024)
  Thesis: Performance Boost in HD-EMG Motor Unit Detection via BSS. View Thesis
• Pham Manh Tuan, Aalto University (2024)
  Thesis: High-density neural sensing and embedded control of a soft prosthetic hand. View Thesis
• Marcus Talke, Aalto University (2022)
  Thesis: Using Supervised Deep Learning for Real-Time Motor Unit Decomposition of High-Density Surface Electromyography Signals. View Thesis

Teaching Assistantships:

• Translational Engineering Forum | Aalto University | Fall 2021 – 24
• Neurorobotics (TOP10 MSc Course at EEA) | Aalto University | Spring 2022 – 24
• Embedded Real-Time Systems | Aalto University | Fall 2022 – 24

Full-time Laboratory Teacher

• Linear Control Systems Lab: Guided ~200 students/year in designing and implementing controllers on real-time systems (e.g., inverted pendulum, ball and beam, DC motor).
• Biological Signal Lab: Assisted ~30 students/year in collecting and processing biological signals (ECG, EEG, EMG, EOG) using MATLAB.

Research Assistant & Teaching Assistant

• TA for Principles of Rehabilitation & Equipment
• Developed a computational model of human motor control for arm reaching movements based on muscle synergies
• Implemented algorithms for analyzing EMG signals and extracting muscle synergies during complex movements
• Conducted experiments to validate computational models against human performance data