
As a Biomedical Engineering student, I possess excellent critical thinking and biomedical knowledge. Offering 3 year background study for medicine and biology-related knowledge, such as biomaterial, tissue engineering, human quantitative physiology, and medical biotechnology. Besides, I am familiar with the operating principles of Magnetic Resonance Imaging and CT scanners.
Programming & Analysis
Python (NumPy, Pandas)
MATLAB
Deep Learning & AI
Convolutional Neural Networks (CNNs) – Transfer learning with VGG16, image classification (medical MRI)
Recurrent Neural Networks (RNNs/LSTMs) – Time-series modeling (eg, ECG/EEG signals) – In progress
Deep Learning Frameworks: PyTorch (preferred), Keras/TensorFlow – Intermediate (building & training models)
Biomedical & Engineering Tools
Medical Image Processing (MRI classification, preprocessing)
Data Visualization & Analysis
Risk Assessment & Management
Biosafety Cabinet (BSC) Operation & Certification
Medical Device Regulation (FDA 510(k), PMA, EU MDR/IVDR, CE Marking)
Good Laboratory Practice
Biological Hazard Identification & Containment
Additional
Google Colab (GPU training), Kaggle notebooks
Canva Expert — Professional graphic design, social media visuals, presentations, infographics, branding kits, templates, animations
Microsoft Excel
The Hong Kong Award for Young People (AYP) – Bronze Level
The Hong Kong Award for Young People (AYP) – Bronze Level