Fateme is a fourth-year Ph.D. candidate in Health Informatics at McMaster University, where she specializes in applying machine learning to detect behavior abnormalities in sensor data streams. In addition to her academic work, she is a data scientist at IBM. Fateme has published research in esteemed journals like ACM Transactions of Computing for Healthcare and has presented her work at leading institutions, including Mayo Clinic and the Duke Center for Health Informatics. Her contributions are advancing the field of data-driven healthcare solutions.

Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.

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.