Alexis Perrier

Alexis Perrier is a data scientist consultant in Washington DC and Paris France working with Machine Learning, Natural Language Processing and Signal Processing. Alexis has always been fascinated by stochasticity and the power of algorithms, spending hours in his childhood trying to find martingales for roulette and lottery. Alexis' Ph.D. thesis at Telecom ParisTech, resolved around variations and optimizations of the Stochastic Gradient Descent algorithm for applications in Signal processing.

A former Parisian, Alexis is now actively involved in the Washington D.C. data science community as an instructor, blogger, and presenter. Alexis is also an avid jazz and classical music fan, a book lover and proud owner of a real chalk blackboard on which he regularly tries to share his love of mathematical equations with his 3 children.

He holds a Master in Mathematics from Université Pierre et Marie Curie, a Ph.D. in Signal Processing from Telecom ParisTech and currently resides in Boston, MA.

You can get in touch with him on twitter @alexip and visit his blog http://alexisperrier.com