Donna Vakalis

Building a Sustainable Future

Machine Learning Researcher • Former Olympic Athlete • Background in Design

About Me

As a postdoctoral researcher at Mila specializing in machine learning for sustainable buildings, I bridge the gap between cutting-edge AI technology and practical building operations. My background in construction & design brings a unique perspective to my machine learning work.

Before my academic career, I competed in two Olympic Games, an experience that taught me about dedication and performance under pressure.

Research Focus

ML for HVAC Optimization

Developing machine learning models to optimize HVAC control systems, reducing energy consumption while maintaining occupant comfort.

Methods

  • Spatiotemporal graphs, for forecasting and control
  • Model-based reinforcement learning for HVAC systems
  • Differentiable control

Building Emissions Reduction

Thinking critically about when and which technology, including passive and active approaches, bring the best results.

Methods

  • Life cycle assessment of costs, emissions, and occupant impacts
  • Causal inference with sensor and survey data
  • Surrogate modelling for optimizing over design choices

Experience

Building Science and AI Research

Under supervision of Dr. Yoshua Bengio and Dr. David Rolnick at Mila, leading research in sustainable building operations through machine learning applications and cross-disciplinary initiatives.

Academic Teaching & Mentorship

University-level instruction and mentorship in engineering and sustainability, with focus on graduate education.

Elite Athletics & Leadership

Two-time Olympian in the sport of modern pentathlon, continuing to work in a volunteer role for Racing To Zero helping green grassroots and elite sport.

Community Impact & Governance

Board governance and non-profit leadership in sustainability and policy initiatives.