Bios:
Pete Tunkis is Lead Data Scientist with Arcurve’s Advanced Analytics team. He has over a decade of experience in data-driven research, analytics, and project management. His strengths lie in combining deep knowledge of research best practices with industry application, adapting to changing scenarios and quickly learning and understanding new skills and complex systems. Pete earned a Ph.D. in Political Science from The Ohio State University with a focus on behavioural analytics, and he brings with him a strong understanding in both statistical/machine learning approaches and qualitative research methodology. Before joining the Arcurve family, Pete worked in government, academia, banking, and insurance in Europe and the United States. Otherwise, he enjoys yelling at the TV when the Calgary Flames are losing and is always up for a game of darts.

Mike Morley is Director of AI/ML Strategy with Arcurve’s Advanced Analytics team. He developed his first knowledge system in 1986 and has been developing software designed to augment the abilities of people, organizations and industries ever since. Leveraging a degree in Geological Engineering, Mike has spent the past 25 focusing on addressing the needs of engineers, data scientists, and analysts across the Environmental, Mining, Oil and Gas industries with innovative software solutions and technology inventions. He is a sought-after speaker on the subject of innovation, data and machine learning as applied to environmental and engineering industries. He speaks at a range of forums and events including technical forums such as Data for Good, R Users Group, Women in Big Data and at executive events to provide strategic insight to executive teams on innovation and digital transformation strategies.