Houfu Chen

ML Engineer | Digital Twin Researcher | Systems Architect

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Who I Am

I'm a programming and machine learning enthusiast with a passion for solving complex problems through technology. My background spans education, industry experience, and innovative projects, all driven by a curiosity to explore new technologies.

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Education

MEng in Electrical and Computer Engineering University of Toronto (Graduated March 2025)
BASc in Nanotechnology Engineering University of Waterloo (Graduated June 2023, With Distinction)
Featured alumni in the Data Analytics and Machine Learning Emphasis at UofT. Read more here.

Industry Experience

Ford Motor - CarPlay Network Performance
Manulife - Online Banking Development
Teranet - QA Automation
Imagine Communications - Quality Assurance

Teaching & Research

Teaching Assistant Machine Learning & Python at University of Toronto
Research Assistant Organic Solar Cell Technologies at University of Waterloo

Project Highlights

Greenhouse-Level Digital Twin Framework

> Status: Active PhD Research (Publication Pending)

Designing a probabilistic state-estimation framework to create a living digital twin of a heterogeneous greenhouse environment.
The Core Architecture: Bridging the gap between mechanistic biological predictions and noisy real-world sensor data.
Mathematical Frameworks: Implementing dynamic Flux Balance Analysis (dFBA) and Kalman Filtering to continuously track and correct hidden biomass states across multiple spatial zones.
Tech Stack: Python, COBRApy, State-Space Models, NumPy, SciPy