01
Machine Learning for RNA Structure Design
- Python
- PyTorch
- Reinforcement Learning
- Diffusion Models
- Slurm
- Linux
- W&B
Vancouver, BC
Hello! I'm Amanda.
Where I study:
University of British Columbia
My focus:
Electrical Engineering + Machine Learning
About Me
I'm an engineering student interested in electrical systems, machine learning, and computational research.
I study Applied Science at the University of British Columbia, where I intend to pursue Electrical Engineering. With a background in computer science and a newer interest in hardware, I’ve really enjoyed finding projects that let me bring the two together and learn by building.
My work spans deep learning and reinforcement learning research, high-performance computing, programming instruction, and engineering leadership. Outside of work I enjoy hiking, drawing, and playing the violin.
Experience with
- Deep learning
- Reinforcement learning
- High-performance computing
- Programming instruction
- Engineering leadership
Experience
Where I've worked
- 2026
NSERC USRA Research Assistant
Trinity Western University
Investigated reinforcement-learning methods and structure-prediction oracles for RNA inverse folding. Worked with Python, PyTorch, Linux, Slurm, W&B, and high-performance computing systems.
- 2021–2025
Programming Instructor
Code Ninjas
Taught programming concepts and supported students building games, applications, and technical projects.
- 2025–2026
Secretary
TWU Math, Engineering & Technology Club
Supported club operations, technical events, student collaborations, and hackathon organization. As the the only engineering representative on the executive team, and I helped bridge the gap between engineering and other STEM disciplines.
Projects
Selected work
02
Automotive CAN Telemetry System
ESP32-based automotive telemetry platform developed from a two-node CAN bench network into a custom CAN interface PCB. Bench-tested CAN transmission and reception with live TFT telemetry, then designed a 2-layer SN65HVD230 transceiver board with switchable termination, ground-plane routing, antenna keepout, and electrical DRC validation for future Porsche Taycan integration.
- Embedded C++
- ESP32
- CAN Bus
- Altium Designer
- PCB Design
- Automotive Electronics
03
Smart Study Monitor
Embedded productivity system combining environmental sensing, motion and eye monitoring, and a desktop dashboard for real-time study feedback. Integrates light, sound, temperature, humidity, webcam input, Pomodoro timing, productivity scoring, and CSV data export.
- Embedded Systems
- Arduino
- Sensors
- Computer Vision
- GUI Development
- Data Logging
Skills
Tools & expertise
Programming
- Python
- Java
- JavaScript
- C++
- Bash
Machine Learning
- PyTorch
- NumPy
- pandas
- Reinforcement learning
- Data analysis
Engineering
- Technical computing
- Microcontrollers
- Circuit analysis
- Embedded systems
Tools
- Git
- Linux
- Slurm
- W&B
- Apptainer
Resume
Take a closer look at my background.
A concise overview of my research, engineering experience, and technical skills ready to view or download.
Let's build something!
Whether it's research, an engineering project, or just anything cool: I'd love to hear from you. Feel free to reach out!