Yan Luo serves as a Data Scientist and Developer at IBM Canada, where he applies his expertise in machine learning and artificial intelligence to develop innovative cognitive applications across diverse domains including software repository mining, personalized health management, wireless networks, and digital banking. After earning his Ph.D. in Machine Learning from the University of Western Ontario, he has contributed significantly to technical education through developing and teaching multiple data science courses, including Applied Data Science Capstone, Machine Learning Capstone, and Introduction to R Programming for Data Science. His work focuses on practical applications of AI and cognitive computing, bridging the gap between theoretical machine learning concepts and real-world business solutions.

Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers

Jeff Grossman serves as a Data Science and Engineering Subject Matter Expert at Skill-Up Technologies while leading 617 Data Solutions Inc., a company he founded to guide organizations in their data science journey. With a diverse background spanning Pure Mathematics, Geophysical Signal & Image Processing, Medical Imaging, and Data Science & Engineering, he has established himself as an expert in algorithm development and data-driven decision-making. Through his company's strategic partnership with MLT's Data and Analytics Team, he focuses on building comprehensive data foundations that enable actionable intelligence through customized data extraction, integration, visualization, automation, and artificial intelligence solutions. His commitment to education and community service is demonstrated through his role developing data-related educational content for IBM/Coursera courses and his volunteer work with CAMDEA Digital Forum as an Associate Member in Alberta, Canada. His course portfolio includes "Data Science with R - Capstone Project" and "ETL and Data Pipelines with Shell, Airflow and Kafka," reaching thousands of learners worldwide through the IBM Skills Network platform.