Adjuncts & Associates

Brandon Corbett is an Industry Professor in the W. Booth School of Engineering Practice and Technology. Brandon completed his bachelor of engineering in chemical engineering in 2011 and his PhD, focusing advanced process control and statistical modeling, from McMaster University in 2016. In 2017, Dr. Corbett completed a postdoctoral fellowship with John F. MacGregor studying applications of latent variable modeling to rapid product development. Dr. Corbett has taught graduate level multivariate statistics at McMaster since 2017. His research interests focus on applications of multivariate statistics and machine learning to industrial applications.

Dr. Hanna earned his Ph.D. in Project Management from the Schulich School of Engineering at the University of Calgary (UofC), by developing an innovative cost-schedule framework and software for the planning and implementation of work packages in the EPC industry. Dr. Hanna also has a bachelor of Computer Science with a Specialization in Software Engineering from the University of Calgary as well as numerous industry certifications in management and IT. He is actively sharing his knowledge and experience to both academic and industry professionals through various endeavours including teaching, facilitation, training and consulting. Specialties: Project Management, Project Controls, Planning, Scheduling, Cost Control, Change Management, Earned Value Management, Simulation, Process Optimization, Estimating, Process Modeling EVM, Primavera, MS Project, PertMaster

Harry Mahler is a Professor with the Faculty of Art and Design at the Ontario College of Art and Design, and Adjunct Industry Professor of Design at McMaster University's W Booth School of Engineering Practice and Technology.

Yanina is a senior data scientist currently working at TD Canada Trust. Yanina specializes in the implementation and deployment of machine learning and AI models leveraging big data environment and parallel computing solutions. She is part of the Personal Banking Analytics team working on ML projects furthering Personal Banking business strategy, design and creation of new customer-centric products and services.  Her technical skills are centered around big data  - parallel computing, Spark, Hive/Impala, graphs, parallelized ML pipelines -  as well as cloud ML solutions. She is also teaching big data at University of Toronto and Rotman School of Business. Her research interests include graph computations and cybersecurity.  Prior to this, Yanina completed her Masters and PhD in Electrical Engineering at Carleton University and pursued Postdoctoral research in Robotics at Harvard University and MIT. Her work in academia resulted in a number of peer-reviewed papers that generated over 1000 citations, 3 patents, all in the fields of photonics, EE, robotics and mathematically & animal-inspired design.

Dr. Teimoori is an Industry Professor with the W Booth School of Engineering Practice and Technology, and Lead, Omnia AI, at Deloitte Canada. His expertise and interests include:  Data Mining and Machine Learning System architecture Product development Web applications Project Management Cloud based Services (AWS, Google, Azure) Entrepreneurship Artificial intelligence Programming (Python, Matlab, Javascript, AngularJS, C++, C#) SQL/NoSQL Big data ecosystem Statistics and predictive modeling