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Peter is a Co-Founder and Chief Financial Officer of TREX-Ai. Peter leads the accounting, business support, financial planning and analysis, treasury, real estate, investor relations, internal audit, and tax functions at TREX-Ai. In addition to his responsibilities as CFO, Peter works on advancing the MultiAgent AI capabilities of TREX Core.
Before co-founding TREX-Ai, Peter joined the Energy Digitization Lab at the University of Alberta to study MultiAgent Reinforcement Learning as part of his MSc in Software Engineering and Intelligent Systems. Peter holds a BSc degree in Electrical Engineering with a biomedical option from the University of Alberta.
Daniel is a Co-Founder and Chief Operating Officer of TREX-Ai. Daniel leads TREX-Ai’s entire worldwide operations, customer service, and support. He coordinates the development of TREX core and ALEX, driving the company’s initiatives and strategies for product development, artificial intelligence, and machine learning.
Before co-founding TREX-Ai, Daniel completed his MSc in Electrical and Computer Engineering at the Technical University of Munich, developing Artificial Intelligence for battery management. He has previously worked at BMW contributing to the advance development of vehicle power systems. Daniel is currently a Ph.D. candidate in Intelligent Systems and Software Engineering at the University of Alberta with the Energy Digitization Lab.
Steven is a Co-Founder and Chief Technology Officer of TREX-Ai. He leads TREX-Ai’s design, software & hardware engineering teams, carrying responsibility for delivering the software at the heart of TREX-Ai’s innovative products. Steven continuously pushes for improvements in TREX-Ai’s products and user experience.
Steven previously worked for ATCO Electric as a Lead Designer in Distribution and Transmission departments, improving project efficiency by automating design tasks. Steven holds a BSc in Electrical Engineering from the University of Alberta and is currently a Ph.D. candidate in Intelligent Systems and Software Engineering at the University of Alberta with the Energy Digitization Lab.
Prof. Musilek is the academic supervisor of TREX-Ai’s founding team. He endorses and upholds TREX-Ai’s vision and supports the company through his in-depth topical expertise and strong ties with the industry.
Prof. Musilek’s energy-related research focuses on the grid integration and management of renewables and distributed energy resources (photovoltaics, battery energy storage systems, electric vehicles, etc..). To deal with the complexity and uncertainty of modern distributed energy systems, he focuses on methods of computational intelligence.
Prof. Musilek received Ing. degree in Electrical Engineering (1991) and Ph.D. degree in Technical Cybernetics (1995) from the Military Technical Academy in Brno, Czech Republic. In 1997, he was awarded a NATO Science Fellowship, tenured at the Intelligent Systems Research Laboratory, University of Saskatchewan, Canada. Since 1999, he has been with the University of Alberta, where he is presently a Professor and an Associate Chair (Research and Planning). He is a registered Professional Engineer in Alberta (APEGA), and a Senior Member of IEEE.
Prof. Dr. Taylor is Daniel’s co-supervisor and brings high-profile AI-related industry and research experience and insights to TREX-Ai.
Prof. Taylor’s fundamental research interests focus on reinforcement learning combined with human-in-the-loop AI, multi-agent systems, and robotics. His applied research interests revolve around solving the challenges of moving cutting-edge ML and AI out of academia into companies.
Prof. Taylor received his Ph.D. from the University of Texas in 2008. He worked as a professor at Lafayette College and at Washington State University where he held the Allred Distinguished Professorship in Artificial Intelligence. In 2017, he left academia to help start a Borealis AI research lab for the Royal Bank of Canada in Edmonton, Alberta. He now holds a tenured associate professorship in Computer Science at the University of Alberta, is a Fellow-in-Residence at the Alberta Machine Intelligence Institute, and remains an adjunct professor at Washington State University.