As a Machine Learning Engineer at UbiLab - University of Waterloo, I apply my expertise in health informatics to design and deploy data-driven solutions for human activity recognition and health indicator prediction. I leverage Python, PyCaret, Azure Databricks, and Apache Spark MLlib to automate data pre-processing, model training, comparison, analysis, and visualization, improving work efficiency and processing speed.I am also a PhD Candidate in the School of Public Health Sciences, where I conduct research on data mining and visualization techniques for wearable and smart home sensors. I have published multiple papers in prestigious journals and conferences, and received a Mitacs Research Internship at the University of Strathclyde. My goal is to advance the field of health informatics and contribute to the improvement of health outcomes and quality of life.
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Adjunct ProfessorUniversity Of WaterlooToronto, On, Ca -
Research ScientistThomson Reuters Sep 2024 - Dec 2024Toronto, Ontario, CanadaLLM training, fine-tuning, and automatic evaluation -
Data ScientistIbm Jan 2024 - Aug 2024Markham, Ontario, Canadahttps://author.skills.network/instructors/kang_wang -
Machine Learning EngineerUbilab - University Of Waterloo Sep 2022 - Aug 2024Waterloo, Ontario, Canada- ETL pipeline- MLops pipeline using Azure- Azure databricks for big data -
Research ScientistEth Zürich Dec 2023 - Jul 2024 -
Mitacs Research InternUniversity Of Strathclyde Sep 2022 - Jan 2023Glasgow, Scotland, United Kingdom- Created centralized cloud data warehouse- Sedentary behaviour estimation -
Data ScientistSwidget Sep 2021 - Sep 2022Toronto, Ontario, Canada- Deployed an automated data ecosystem for IoT sensors.- Implemented Docker containerization. -
Machine Learning EngineerUbilab - University Of Waterloo Sep 2020 - Sep 2021Waterloo, Ontario, Canada- Developed a web–based API integrated platform for automating healthcare data collection.- Constructed a NIST compliant data management platform based on Azure cloud using Bicep scripts.
Kang Wang Education Details
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Anomaly Detection, Pattern Recognition, Machine Learning, Iot, Mhealth. -
Control Engineering; Machine Learning -
Electrical And Electronics Engineering
Frequently Asked Questions about Kang Wang
What company does Kang Wang work for?
Kang Wang works for University Of Waterloo
What is Kang Wang's role at the current company?
Kang Wang's current role is Adjunct Professor.
What schools did Kang Wang attend?
Kang Wang attended University Of Waterloo, Jiangnan University, Nanjing Forestry University.
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2gmail.com, hakai.org
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