Administration

Daniel L. Silver, Ph.D.

Director, Acadia Institute for Data Analytics

Professor, Jodrey School of Computer Science

Email: danny.silver@acadiau.ca

Danny is a Professor in and a former Director of the Jodrey School of Computer Science at Acadia University. His areas of research and development are machine learning, data mining, user modeling, and adaptive systems. He has published over 60 scientific papers, edited special journal editions, and has been part of the organizing or program committee for several national and international conferences, seminars and workshops.  Most recently he was awarded a Harrison McCain Foundation Award for research into advance machine learning methods. Since 1993, he has worked on machine learning and data mining projects in the private and public sector providing situation analysis and problem definition, project management, and guidance, and predictive analytic services.  In 2011, he received the Science Champion Award from the Nova Scotia Discovery Center for his work on youth robotics and the advancement of STEM education.

Keilani Tupper

Administrative/Technical Assistant, Acadia Institute for Data Analytics

Email: keilani.tupper@acadiau.ca

Keilani is the Administrative/Technical Assistant at AIDA. Keilani graduated from Memorial University of Newfoundland in 2015 with a Bachelor of Commerce and a concentration in Human Resource Management and Labour Relations. After graduating, Keilani remained in Newfoundland working in the insurance/financial sector before relocating back to Nova Scotia in 2016.

Andrew McIntyre, Ph.D.

Data Scientist, Acadia Institute for Data Analytics

E-mail: andrew.mcintyre@acadiau.ca

Andy completed a Bachelor of Science degree at Mount Allison University in 2000, Andy continued his academic pursuits at Dalhousie University, enrolling in the Masters of Computer Science Program and later graduating with a Ph.D. in the field in 2007.  Andy’s focus has mainly been machine learning with specific interest in evolutionary computation, a population-based meta learning technique for model building. His work has most recently included a 10-year role as senior researcher with the Network Information Management and Security group at Dalhousie, working on computer gaming and behaviour mining applications. He was a previously a postdoc with the department of Ophthalmology and Visual Science, investigating shape-based, predictive GP / imaging models and had further postdoctoral collaborations with National Research Council Canada Institute for Biodiagnostics Atlantic at the Neuroimaging Research Laboratory, developing models of functional connectivity with clustering and classification algorithms applied to large-scale, resting-state functional MRI (brain-imaging) data.  Andy currently holds an adjunct professor designation at Dalhousie and an adjunct position with the Jodrey School of Computer Science at Acadia University with 19 publications and has been named on five US patents as of 2020. Andy has assumed the role of Data Scientist at the Acadia Institute for Data Analytics (AIDA) as of October 2018.