Maggie Liuzzi

Machine Learning Engineer, Q-CTRL

Singapore

Maggie has always been passionate about trying new things and constantly challenging herself. She has a growth mindset and is an optimiser by nature. As a flexible and highly resourceful individual, she loves turning ideas into successful projects.

She has dipped her toes in various industries, from business development and digital marketing at Google to not-for-profit, banking, LiDAR, autonomous vehicles, and more recently quantum technology.

During her Bachelors in Economics in Argentina, Maggie learned to see the world from the lens of mathematics, statistics and business. She then started teaching herself how to code out of curiosity and went on to do a Masters in Software Development in Australia to further develop her skills. She completed her Masters degree with a research project involving some cute Pepper robots at UTS’ Social Robotics Lab - which won RoboCup’s Home category in 2019. Last year she published a paper using Deep Reinforcement Learning to optimize quantum gates, and is now delving into the world of Product Management as a way of leveraging her diverse and unique skill set.

As a product-focused Machine Learning Engineer, she uses novel algorithms to solve interesting R&D problems and then leads efforts to turn her findings into engaging products for users to enjoy at scale.

Maggie is involved with various nonprofits that teach coding to kids and teenagers, with a focus on women. She suspects that if she had had that level of exposure to computer science during high school, it would have captivated her right away. That’s her wish for future generations.