Research Engineering Portfolio

VR · Robotics · Real-Time Systems · Neuroimaging · Hardware Integration

Select projects from over a decade of research engineering: real-time closed-loop systems, robotic manipulandum control, VR assessments, hardware synchronization, and experimental infrastructure built across clinical neuroscience labs.

C++ MATLAB Unity3D C# Python VR Robotics EEG EMG Motion Capture Hardware Control Stateflow Linux-RT Arduino fMRI LSL

Hover to playTap to play

MINT Balance Platform

R01-Funded · 2024–2025 · Emory University

Modernized a legacy balance perturbation system for NIH-funded Parkinson's research.

MINT platform with low-level hardware controller
MATLAB integration with Vicon motion capture
Refactored >15,000 lines to <6,000
Migrated from Windows XP to Windows 11

Hover to playTap to play

VR Upper Extremity Assessment

Dissertation Research · 2018–2020 · Washington University

VR-based motor assessments for stroke rehabilitation research using Unity and motion capture.

Designed for accessibility with motor-impaired users
Integrated motion capture for kinematic analysis
Published findings on proprioceptive deficits
Tested with 50+ stroke survivors

Hover to playTap to play

KINARM Robotic Manipulandum

Research Tools · 2022–2025 · Emory University

Experimental paradigms for the KINARM robotic manipulandum using Simulink/Stateflow state machine control.

Stateflow-based trial sequencing with adaptive protocols
Real-time kinematic feedback and force perturbations
Hardware synchronization across displays, sensors, and actuators
Used across multiple patient populations (stroke, Parkinson's, TBI)

Hover to playTap to play

Real-Time Closed-Loop Classification

Research Infrastructure · 2023–2025 · Emory University

C++ / Linux-RT system for sub-millisecond brain-state classification driving neurofeedback, neurostimulation, and experimental control.

<40ms end-to-end latency from signal acquisition to hardware response
Multi-stream ingestion via Lab Streaming Layer (EEG, EMG, kinematics)
Deploys models trained in Epoche with identical feature pipelines
Drives neurostimulation triggers, robotic perturbations, and trial advancement based on decoded brain state
Analog/digital output to EEG amplifiers, stimulators, and experimental hardware

Hover to playTap to play

VR Research Systems

Multi-modal Research · 2024–2025 · Emory University

VR experimental infrastructure integrating headsets with physiological recording and stimulation hardware.

VR treadmill integration for locomotion research—optimized motion-to-visual mapping to reduce VR sickness
BioPAC integration for H-reflex stimulation/recording during VR contexts (e.g., dropping from height)
TTL pulse synchronization via PCI card and voltage conversion circuits
Synchronized VR events with EMG, ECG, GSR, and nerve stimulation
Consulting on city-scale spatial navigation maze design

Multi-Device Synchronization

Research Infrastructure · 2022–2025 · Emory University

Arduino-based synchronization system for aligning data streams across independent research instruments.

Pseudo-random square wave generation for cross-device temporal alignment
Signal propagation to Cometa wireless EMG/IMU, Vicon motion capture, and additional instruments
Sub-millisecond timing precision for multi-modal data fusion
Portable, reusable across labs and experimental setups

fMRI Experimental Software

Neuroimaging Research · 2015–2017 · Washington University

Stimulus presentation and response collection for fMRI studies of sensorimotor control.

Python and E-Prime stimulus presentation
Arduino/hardware controller for MR-compatible response devices
Precise timing synchronization with scanner triggers
Motor task paradigms for functional imaging