:probabl.
David Arturo Amor Quiroz is a Machine Learning Engineer with extensive experience in the field. Currently employed at :probabl. since February 2024, David previously worked at Inria from July 2021 to January 2024, where responsibilities included maintaining the scikit-learn documentation and managing an online course on machine learning with scikit-learn. Prior to this, David served as a Postdoctoral Scientist at École Polytechnique from October 2018 to October 2020, focusing on fundamental research in theoretical physics, specifically the structure of the proton. David's academic background includes a PhD in Physical Sciences, a Master's degree in Theoretical and Mathematical Physics, and a Bachelor's degree in Theoretical and Mathematical Physics, all obtained from Universidad Nacional Autónoma de México between 2007 and 2018.
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:probabl.
Probabilities are at the core of every decision we make, never quite perfect, often incomplete. In fact, our view of the world’s digital twin is made of many digits with floating points, neither black and white nor binary, mostly filled with deep gradients. Knowledge is at your fingertips, yet trapped inside. Once the data model fits, because we can explain, you can therefore infer and act. Our brand, our logo, the three dots… it’s all in there. Welcome to :probabl.