Matthew Barr

Matthew Barr Email and Phone Number

VP of Machine Learning Research @ Product Genius
Matthew Barr's Location
Greater Boston, United States, United States
Matthew Barr's Contact Details

Matthew Barr personal email

n/a
About Matthew Barr

As a machine learning research scientist, I'm deeply interested in the architecture and development of machine learning platforms. How we define, compose, and extend our deployed models is critical to continued success with machine learning. At Gamalon, I am continually excited to engage with and develop the best practices and tools for this rapidly evolving field.

Matthew Barr's Current Company Details
Product Genius

Product Genius

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VP of Machine Learning Research
Matthew Barr Work Experience Details
  • Product Genius
    Vp, Machine Learning Research
    Product Genius May 2019 - Present
    I lead the machine learning team at Gamalon in developing advanced natural language understanding technology and beyond. We strive to fulfill the promise of Bayesian and probabilistic machine learning to make artificial intelligence adaptive, understandable, and actionable.
  • Product Genius
    Machine Learning Architect
    Product Genius Sep 2018 - May 2019
    Architected our machine learning approach and integration with our product for a number of challenges across NLP and Bayesian machine learning, utilizing custom tools such as probabilistic programming languages.
  • Product Genius
    Machine Learning Research Scientist
    Product Genius Feb 2014 - Sep 2018
    Principal developer on Gamalon's internal, Python-based probabilistic programming language, Particle, making fundamental contributions to the infrastructure, modeling API, and inference algorithms.Researched and prototyped machine learning solutions to natural language processing (NLP) with in-house models developed using tools from the fields of probabilistic programming and Bayesian machine learning.
  • Harvard University
    Ph.D. Candidate
    Harvard University Sep 2007 - Jan 2014
    Cambridge, Massachusetts, Us
    Researched acoustics, condensed matter physics, and scattering with advisor Eric Heller.
  • Harvard University
    Head Teaching Fellow/Teaching Fellow
    Harvard University 2007 - May 2013
    Cambridge, Massachusetts, Us
    Taught nine semesters of scientific coursework to a range of audiences, including pre-medical concentrators, science concentrators, and general education students.Worked with students in discussion section, laboratory, and one-on-one contexts.
  • Beacon Value Partners
    Academic Partner
    Beacon Value Partners 2011 - 2013
    Led and contributed to volunteer consulting projects internally and on behalf of Beacon Value Partners. Projects included investigating internal strategic goals, determining potential investment opportunities for a client venture capital firm, and incubation assistance for early-stage startups.

Matthew Barr Skills

Data Analysis Physics Machine Learning Matlab Mathematical Modeling Theoretical Physics Mathematica Latex Science Python Experimental Design Statistics Probabilistic Programming Bayesian Inference Team Leadership Probabilistic Models Bayesian Methods Market Research Team Management Consulting Business Strategy Python Experimental Physics

Matthew Barr Education Details

  • Harvard University
    Harvard University
    Theoretical And Mathematical Physics
  • University Of Maryland
    University Of Maryland
    Physics

Frequently Asked Questions about Matthew Barr

What company does Matthew Barr work for?

Matthew Barr works for Product Genius

What is Matthew Barr's role at the current company?

Matthew Barr's current role is VP of Machine Learning Research.

What is Matthew Barr's email address?

Matthew Barr's email address is ma****@****abs.com

What schools did Matthew Barr attend?

Matthew Barr attended Harvard University, University Of Maryland.

What skills is Matthew Barr known for?

Matthew Barr has skills like Data Analysis, Physics, Machine Learning, Matlab, Mathematical Modeling, Theoretical Physics, Mathematica, Latex, Science, Python, Experimental Design, Statistics.

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