Kang Wang

Kang Wang is a dedicated Data Scientist Intern at IBM and a PhD candidate at the University of Waterloo, where he focuses on the intersection of theoretical research and practical applications in data science. His work involves extensive data analysis and model development in machine learning and artificial intelligence, aiming to enhance understanding and implementation of these technologies in real-world scenarios. Kang has also contributed to the academic community by teaching courses such as Generative AI Language Modeling with Transformers and Fundamentals of AI Agents Using RAG and LangChain, helping students grasp complex concepts in AI. His commitment to advancing the field is evident through his innovative projects and collaborative efforts, making him a valuable asset in the realm of data science and machine learning.