Etienne Bernard

Etienne Bernard Email and Phone Number

Founder & CEO at NuMind | YC S22 @ NuMind
Etienne Bernard's Location
Cambridge, Massachusetts, United States, United States
Etienne Bernard's Contact Details

Etienne Bernard work email

Etienne Bernard personal email

n/a

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About Etienne Bernard

I am a machine learning expert & entrepreneur seeking to spread the use of machine learning by simplifying its usage.After a Ph.D. & postdoc in statistical physics, I joined Wolfram Research where I became the head of the machine learning group for 7 years. There, I led the development of automatic learning tools for the Wolfram Language, a user-friendly deep learning framework, and various machine learning applications. After this experience I decided to write a book to share my understanding of machine learning (https://www.wolfram-media.com/products/introduction-to-machine-learning.html).I recently disengaged from Wolfram to start a company called NuMind (https://www.numind.ai) which is a software company developing high-level machine learning tools and applications. With this company, my goal is to make machine learning tools that are even more accessible than the ones we developed at Wolfram Research, yet without compromise on how well they perform.Let me know if you are interested in using NuMind technology or would like to be involved in some way.

Etienne Bernard's Current Company Details
NuMind

Numind

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Founder & CEO at NuMind | YC S22
Etienne Bernard Work Experience Details
  • Numind
    Founder & Ceo
    Numind Jun 2022 - Present
    Cambridge, Massachusetts, Us
    NuMind (https://www.numind.ai) is a software company developing machine learning tools and applications. Our goal is to spread the use of machine learning - and artificial intelligence in general - by creating simple yet powerful tools. We believe that such tools are the future of how machine learning is practiced and a key to developing artificial intelligence systems.
  • Wolfram
    Lead Architect - Head Of Machine Learning
    Wolfram Nov 2014 - May 2022
    Champaign, Il, Us
    I was leading the Machine Learning group. We developed machine learning functions and models for the Wolfram Language and Wolfram Alpha.
  • Wolfram
    Research Associate
    Wolfram Oct 2012 - Nov 2014
    Champaign, Il, Us
    I have been developing machine learning functions for the Wolfram Language (e.g. Classify and Predict).
  • Mit
    Postdoctoral Research In Statistical Physics
    Mit Oct 2011 - Sep 2012
    Cambridge, Ma, Us
    This post-doc position allowed me to freely explore my research interests in an outstanding group. I worked on non-equilibrium statistical physics, perfect-sampling algorithms, and two-dimensional phase transitions.
  • École Normale Supérieure - Lps
    Ph.D. Student
    École Normale Supérieure - Lps Sep 2008 - Aug 2011
    Paris, Fr
    Ph.D. student working on "Algorithms and applications of the Monte Carlo method: Two-dimensional melting and perfect sampling".My research dealt with the Monte Carlo method and some of its applications to statistical physics. In the first part, I designed a new Markov-chain Monte Carlo algorithm for hard-core systems, and I used it to solve a long-standing problem about the nature of melting transitions in two-dimensional systems. In the second part, I showed that the transitions toward chaos of Markov chains were the principal obstacle to the design of perfect-sampling Monte Carlo algorithms.
  • Universty P.Curie Upmc-Paris6
    Teaching Assistant
    Universty P.Curie Upmc-Paris6 Sep 2008 - Aug 2011
    Paris, Fr
    I taught Mechanics and Mathematics at the undergraduate level.
  • École Normale Supérieure - Lps
    Research Internship
    École Normale Supérieure - Lps Feb 2008 - Apr 2008
    Paris, Fr
    I researched and designed new Markov-chain Monte Carlo algorithms to simulate hard-sphere systems.
  • École Normale Supérieure De Cachan - Cmla
    Research Internship
    École Normale Supérieure De Cachan - Cmla Jan 2007 - Jun 2007
    Gif-Sur-Yvette, Île-De-France, Fr
    Diffusion in porous media. I performed partial-differential-equation simulations to study the diffusion of particles through fractal interfaces.
  • Uppsala University
    Research Internship
    Uppsala University Apr 2006 - Aug 2006
    Uppsala, Uppsala Län, Se
    Computing low energy electron-lithium scattering cross sections. Theoretical and numerical work.

Etienne Bernard Skills

Machine Learning Algorithms Mathematica Physics Numerical Analysis Data Analysis Computer Science Programming Simulations Monte Carlo Simulation Optimization Scientific Computing Wolfram Language Latex Markov Chain Monte Carlo Statistical Physics Research Applied Mathematics Mathematical Modeling Statistics Theoretical Physics Fortran Matlab Computational Physics Model Making Probability Unix Statistical Modeling Statistical Inference Data Modeling

Etienne Bernard Education Details

  • Ecole Normale Supérieure
    Ecole Normale Supérieure
    Statistical And Computational Physics
  • Pierre And Marie Curie University
    Pierre And Marie Curie University
    Theoretical Physics Of Complex Systems
  • Ecole Normale Supérieure De Cachan
    Ecole Normale Supérieure De Cachan
    Fundamental Physics
  • Ecole Normale Supérieure De Cachan
    Ecole Normale Supérieure De Cachan
    Fundamental Physics

Frequently Asked Questions about Etienne Bernard

What company does Etienne Bernard work for?

Etienne Bernard works for Numind

What is Etienne Bernard's role at the current company?

Etienne Bernard's current role is Founder & CEO at NuMind | YC S22.

What is Etienne Bernard's email address?

Etienne Bernard's email address is et****@****ram.com

What is Etienne Bernard's direct phone number?

Etienne Bernard's direct phone number is +121739*****

What schools did Etienne Bernard attend?

Etienne Bernard attended Ecole Normale Supérieure, Pierre And Marie Curie University, Ecole Normale Supérieure De Cachan, Ecole Normale Supérieure De Cachan.

What skills is Etienne Bernard known for?

Etienne Bernard has skills like Machine Learning, Algorithms, Mathematica, Physics, Numerical Analysis, Data Analysis, Computer Science, Programming, Simulations, Monte Carlo Simulation, Optimization, Scientific Computing.

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