Kai Yang, Phd Email & Phone Number

Canada

Montreal, Canada Area

• Conducted advanced research merging applied mathematics and machine learning, leveraging optimization, numerical analysis, and statistical physics.• Skilled in high-dimensional data analysis, boosting prediction accuracy by over 20%.• Developed and implemented novel AI/ML algorithms for large datasets on Compute Canada’s cloud computing platform, reducing processing time by 80% through advanced numerical optimization algorithms.• Develop Python package nonconvexAG, fastHDMI, etc. • Implemented deep learning projects using Python, PyTorch, and Keras for stock price prediction, data compression, etc.• Implemented innovative methods to improve feature selection accuracy by 30%.• Validated new methods through simulations and real-world data. • Produced dozens of data analysis reports utilizing decision trees, clustering, and advanced AI/ML techniques.• Collaborated with cross-disciplinary teams to apply research to real-world challenges.• Published and presented research at leading conferences and journals.

Montreal, Quebec, Canada

• Developed and validated new architectures based on GPT, BERT, and LLAMA, using techniques including LoRA, enhancing generative AI performance by 40%.• Utilized PyTorch, Hugging Face, Transformers, among other libraries, to optimize AI/ML models.• Collaborated with cross-functional teams to tackle complex AI/ML challenges.• Running comprehensive simulations and experiments to validate and optimize models.

Montreal, Quebec, Canada

• Implemented efficient interpretable ML models to analyze datasets with over 0.5 million observations and 5 million variables.• Developed interactive web interfaces for data visualization, enhancing user engagement and insight discovery.