Biomedical Engineering Student at University of Waterloo

Hi I'm David Wu

Passionate about bridging healthcare innovation and artificial intelligence through cutting-edge machine learning solutions

About Me

Hi! I'm David Wu, a biomedical engineering student with a strong interest in Medical ML research. I'm passionate about developing scalable and creative solutions to medical challenges and support patient experiences.

Originally from Vancouver, BC, I'm now based in Waterloo, ON, striving to contribute to the next generation of intelligent healthcare systems that make personalized, accessible care a reality for everyone.

Education

BASc, Biomedical Engineering
University of Waterloo
Specialization: Medical ML Research

Vision

Creating AI solutions that seamlessly integrate with medical practice for personalized, accessible healthcare.

Skills & Expertise

A comprehensive skill set spanning biomedical engineering and machine learning

Biomedical Engineering

Medical Device DesignBiosignal ProcessingBiomaterialsRegulatory AffairsClinical ResearchFDA Compliance

Machine Learning

Deep LearningComputer VisionNatural Language ProcessingMLOpsNeural NetworksData Science

Programming & Tools

PythonMATLABRTensorFlowPyTorchScikit-learnGitDocker

Experience

Building expertise through hands-on research and industry experience

Research Assistant

Biomedical Engineering Lab

2023 - Present

Developing machine learning models for medical image analysis and biosignal processing

PythonTensorFlowOpenCVMATLAB

ML Engineering Intern

Healthcare Tech Startup

Summer 2023

Built predictive models for patient outcome analysis using electronic health records

PythonScikit-learnPandasAWS

Biomedical Device Intern

Medical Device Company

Summer 2022

Assisted in the design and testing of wearable health monitoring devices

CADArduinoSignal ProcessingFDA Regulations

Featured Projects

Explore my work at the intersection of biomedical engineering and machine learning

Protein-Ligand Binding Affinity

Machine learning model to predict drug-protein binding affinities using Graph Neural Networks and sequence modeling for pharmaceutical research.

PythonPyTorchGraph Neural NetworksSequence ModellingPy3dmol

Cardiovascular Disease Prediction

Machine learning model for cardiovascular disease prediction, analyzing patient records using logistic regression with 85% accuracy.

PythonScikit-learnPandasNumPySeaborn

Drug Discovery ML Model

Machine learning approach to predict molecular properties and drug-target interactions for pharmaceutical research.

PythonScikit-learnRDKitPandas

Contact

Let's connect and explore opportunities in biomedical engineering and machine learning.

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