Jonathan Mugan

Jonathan Mugan Email and Phone Number

Computer scientist: AI and machine learning @ DeUmbra
Jonathan Mugan's Location
Austin, Texas Metropolitan Area, United States, United States
Jonathan Mugan's Contact Details

Jonathan Mugan personal email

About Jonathan Mugan

Computer scientist: AI and machine learning. Author of The Curiosity Cycle: Preparing Your Child for the Ongoing Technological Explosion

Jonathan Mugan's Current Company Details
DeUmbra

Deumbra

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Computer scientist: AI and machine learning
Jonathan Mugan Work Experience Details
  • Deumbra
    Principal Scientist
    Deumbra 2011 - Present
    Austin, Tx, Us
    I specialize in machine learning and artificial intelligence. I am currently focused on applying deep learning (artificial neural networks) to problems in spatial and relational reasoning.
  • Kungfu.Ai
    Advisor
    Kungfu.Ai Jan 2019 - Present
    Austin, Tx, Us
  • The University Of Texas At Austin
    Adjunct Professor
    The University Of Texas At Austin Jan 2013 - May 2013
    Austin, Tx, Us
    Taught the undergraduate honors artificial intelligence class. We covered search, game trees, Bayesian inference, reinforcement learning, neural networks, particle filters, hidden Markov models, Bayesian networks, and planning.
  • Carnegie Mellon University
    Post-Doctoral Fellow
    Carnegie Mellon University 2010 - 2011
    Pittsburgh, Pa, Us
    My research focused on using machine learning to help users specify privacy and other policies. Led a team in the maintenance and development of Locaccino, a social network for location tracking. Locaccino runs on a user's smartphone and allows a user to broadcast his or her location subject to privacy constraints. I mentored students and performed research on using machine learning to help user's specify privacy policies for Locaccino. Was also a member of the Cylab Usable Privacy and Security Laboratory (CUPS).
  • Independent
    Independent Consultant
    Independent Aug 1998 - Dec 2001
    Worked on multiple large projects at multinational corporations to convert legacy data processing systems to SAP (an enterprise resource planning program). Acted as team lead to configure SAP in accordance with local business processes. Designed and coded programs to facilitate new processes.
  • Pwc
    Consultant
    Pwc Jan 1997 - Aug 1998
    Gb
    Maintained a code base for a large banking system. Worked as a developer on a team that converted a legacy data processing system to the enterprise resource planning system SAP for a global telecommunications company.

Jonathan Mugan Skills

Machine Learning Artificial Intelligence Data Mining Big Data Computer Science Python Algorithms Pattern Recognition Software Engineering Data Analysis Java Hadoop Natural Language Processing C++ Matlab Statistics Data Science R Latex Cyber Mobile Applications Ontologies Deep Learning Cyber Defense Social Media Recommender Systems Api Sap

Jonathan Mugan Education Details

  • The University Of Texas At Austin
    The University Of Texas At Austin
    Computer Science
  • The University Of Texas At Dallas
    The University Of Texas At Dallas
    Computer Science
  • Mays Business School - Texas A&M University
    Mays Business School - Texas A&M University
    Finance
  • Texas A&M University
    Texas A&M University
    Psychology

Frequently Asked Questions about Jonathan Mugan

What company does Jonathan Mugan work for?

Jonathan Mugan works for Deumbra

What is Jonathan Mugan's role at the current company?

Jonathan Mugan's current role is Computer scientist: AI and machine learning.

What is Jonathan Mugan's email address?

Jonathan Mugan's email address is jm****@****bra.com

What schools did Jonathan Mugan attend?

Jonathan Mugan attended The University Of Texas At Austin, The University Of Texas At Dallas, Mays Business School - Texas A&m University, Texas A&m University.

What skills is Jonathan Mugan known for?

Jonathan Mugan has skills like Machine Learning, Artificial Intelligence, Data Mining, Big Data, Computer Science, Python, Algorithms, Pattern Recognition, Software Engineering, Data Analysis, Java, Hadoop.

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