Team

Our Mission

Due to a fundamental value misalignment, installing private energy resources in hopes of contributing to energy sustainability and reducing bills increases overall energy prices.

TREX fixes this by combining AI technology and peer-to-peer energy markets.

The Vision

A financially and ecologically sustainable energy future, that fairly distributes value and gives everyone an opportunity to pitch in.

Peter Atrazhev

CFO, Founder

MSc. in Software Engineering and Intelligent Systems at the University of Alberta

BSc. in Electrical Engineering at the University of Alberta 

Expertise: multi agent reinforcement learning 

7 years of machine learning experience 

11 of leadership experience

Daniel May

COO, Founder

PhD. Candidate in Software Engineering and Intelligent Systems at the University of Alberta

M.Sc. in Electrical & Computer Engineering from Technical University of Munich

B.Sc. in Electrical & Computer Engineering from Technical University of Munich

Expertise: deep learning, time series forecasting, multi agent deep reinforcement learning 

12 years of machine learning experience

3 years of project management

Steven Zhang

CTO, Founder

PhD. Candidate in Software Engineering and Intelligent Systems at the University of Alberta

B.Sc. Electrical Engineering Co-op Program at the University of Alberta

Expertise: Python and embedded systems

6 years software engineering 

9 years of embedded systems experience

Formerly design lead at ATCO Electric

T-Rex

CEO, Mascot

Dreams of a financially and ecologically sustainable energy future. 

Spends a lot of time thinking about bringing communities together around sustainability, fair value distribution, AI driven control and energy democratization.

Our Mentors

Petr Musilek

Professor

Associate Chair Research & Planning
Faculty of Engineering – Electrical & Computer Engineering Dept.
ENTAIL

Established expert at the intersection of AI and energy systems

Matt Taylor

Associate Professor

Faculty of Computing Science
Director of the Intelligent Robot Learning Lab
Fellow-in-Residence at Amii

Established expert in applying machine learning and reinforcement learning to real-world problems