Dr. Chris Valadez brings 25 years of leadership experience in educational technology and eLearning. She serves as the Senior Vice President of Instructional Services at Keypath Education, where she collaborates with university faculty to design and develop online courses. In addition to her role at Keypath, Dr. Valadez is a Lead Doctoral Faculty Mentor and adjunct professor in Marymount University's EdD program, teaching courses on technology and innovation as well as research methodology. She earned her Doctor of Education from Marymount University, an MEd in Educational Technology from Northern Illinois University, and a BA from Northwestern University. Dr. Valadez’s research focuses on educational technology, online learning, and generative AI, and she is an active member of the Carnegie Project on the Education Doctorate’s AI CIG.

Dr. Dunnigan is currently on the faculty at Arizona State University where he teaches EdD research courses in the Mary Lou Fulton School of Education.  He has over 25 years of experience as a K-12 teacher, administrator, and college instructor in both public and private institutions.  He is a member of the Artificial Intelligence Learning Futures Collaborative at ASU.  He has extensive knowledge of AI and how generative AI is impacting teaching and learning.  He holds a Doctorate in Education as well as a Master in Teaching degree.  He is the founding chair of the CPED AI CIG.

Dr. Paula Cristina Azevedo is an assistant professor in the School of Education at Marymount University. She started her career as a high school social studies teacher in San José, California, and has nearly 20 years of experience in education. She teaches research courses in the Educational Leadership and Organizational Innovation EdD program and is a Lead Doctoral Faculty Mentor. She founded the EdD program’s Write Up! Institute, which provides online workshops on scholarly writing, research, writing sessions, and an annual writing retreat. In the age of GenAI, she is conducting research and supporting efforts to reenvision teacher education and doctoral coursework to meet the opportunities and challenges of evolving technology. She is also an active member of the Carnegie Project for the Education Doctorate’s Artificial Intelligence CIG.