2 + 2 = 5 investing

A senior applied scientist and a senior software developer, we wanted to take control of our own investments. For the past 15 years, we have been making quantitative decisions on each company in depth before making a decision to invest. Once invested, we needed to keep track of whether they continue meeting our expectations. This quickly  became overwhelming. Using our technical background, we decided to spend the time to automate our every day actions instead, and try machine learning models to find one that meets our needs. 

When our simple tool exceeded our expectations, we decided to share it with you to help you make smarter investment decisions.

I have spent the last 15 years in big tech companies contributing to the design and implementation of cutting-edge products that are used by millions of users every day.

I am passionate about helping people around me by solving real problems they encounter daily. In my professional life, this translates to building products that truly matters to users. 

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A self-directed investor for the past 15 years, I obtained my PhD from McGill University in 2013 focusing on large population games in power markets. I have been conducting applied research in machine learning and AI since then, building and deploying cutting edge technologies with real life applications ranging from natural language processing to computer vision.

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