
I am a PhD student in Electrical Engineering at the University of New Brunswick, where my research applies machine learning to advance human-computer interaction — with a focus on muscle-computer interfaces and upper limb prosthesis control. I am currently completing an internship at Meta in New York City, and upon returning will be seeking full-time opportunities in ML/AI.
EMG-based control for ubiquitous hands-free input.








$7,000
$6,000
$120,000
Publication: “Percussion Hero: A Chest Physical Therapy Game for People with Cystic Fibrosis and their Caregivers
$17,500
Awarded to the top Software Engineering capstone design project for the engineering department at UNB.
Presented by Dr. Erik Scheme

Transformer-Based Context Informed Incremental Learning with sDTW Alignment Unlocks Fast and Precise Regression-Based Myoelectric Control

TFTune: Creation and Personalization of Pointing Transfer Functions Using Reinforcement Learning

Open, Accurate, and Calibration-Free Muscle-Computer Interfaces

How Low Can Your Thumb Go? Investigating the Precision of Unidirectional Thumb Movements

Raising the standard: an open source benchmarking platform and data repository to accelerate myoelectric control research

Screen Guided Training Does Not Capture Goal-Oriented Behaviours: Learning Myoelectric Control Mappings From Scratch Using CIIL

Human-Machine Interaction Using Discrete Myoelectric Control: Contrastive Learning Reduces False Activations During Activities of Daily Living

Discrete Gesture Recognition Using Multi-Modal PPG, IMU, and Single-Channel EMG Recorded at the Wrist

Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environment

Big Data in Myoelectric Control: Large Multi-User Models Enable Robust Zero-Shot EMG-based Discrete Gesture Recognition

Understanding the influence of confounding factors in myoelectric control for discrete gesture recognition

Context-informed incremental learning improves both the performance and resilience of myoelectric control

Leveraging Task-Specific Context to Improve Unsupervised Adaptation for Myoelectric Control

LibEMG: An Open Source Library to Facilitate the Exploration of Myoelectric Control

A Framework and Call to Action for the Future Development of EMG-Based Input in HCI

Percussion Hero: A Chest Physical Therapy Game for People with Cystic Fibrosis and their Caregivers