What are the properties underlying intelligence? How do these manifest in neural computation? And how can we build software based on these principles? At the intersection of artificial intelligence (AI) and neuroscience, I build probabilistic machine learning systems with neural-inspiration, in pursuit of general AI.

I’m a Senior Research Engineer with Vicarious, where we’re building human-level AI for robotics applications. I’m passionate about the emerging paradigm of probabilistic programming – projects and papers coming soon!

What else am I up to? I’m a runner, a yogi, a traveler, a concertgoer. My bookshelf spreads the gamut from DF Wallace and Heinlein, to Brian Greene and Tim Maudlin.

I’ll occasionally blog (below), but check me out on Twitter @theAlexLavin for more recent ramblings.

I was selected to the Forbes 30 Under 30 list for Science!

You can check out some papers on my Google Scholar and arXiv profiles.

Latest Blog Post

26 Oct 2017 . AGI . Vicarious's Generative Model of Vision Comments

A lot of hard work and time went into our Science paper released today: “A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs”. I…

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  • 2014+

    AI ninja in training, currently with Vicarious, previously with Numenta

  • 2013-2014

    Carnegie Mellon, studied computational mechanics and worked on a lunar rover

  • 2008-2012

    Cornell University, studied mechanical & aero engineering, with cubesat research