Please see my website at www.mbhauser.com for more complete and up-to-date information.I am interested in both applied and theoretical machine learning. I defended my PhD in March, 2018, titled "Principles of Riemannian Geometry in Neural Networks", and the primary subjects of the dissertation are in machine learning and algebraic/Riemannian geometry. Broad topics in mathematics that I use and that interest me are neural networks, Riemannian geometry, statistics/probability theory, dynamical systems theory, digital signal processing and information theory. I have degrees in math (BSc honours), physics (BSc honours), mechanical (2 MSc) and electrical engineering (MSc) and my PhD is in mechanical engineering.
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Postdoctoral Research FellowChildren'S Hospital Of Philadelphia Dec 2018 - Dec 2019Philadelphia -
Research AssistantPenn State University Apr 2013 - Mar 2018 -
Phd StudentPenn State University Sep 2012 - Mar 2018State College, PennsylvaniaMy thesis is in 1. geometric formulations of neural networks and 2. applications of machine learning to mechanical systems.
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Teaching AssistantPenn State University 2012 - Mar 2018State College, Pennsylvania AreaME 370 - VibrationsME 450 - Modeling of Dynamic Systems
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Graduate Research AssistantPennsylvania State University Applied Research Laboratory Sep 2014 - 2018Work in machine learning/signal processing under a Walker fellowship, with a focus more on application than theory. -
Teaching AssistantUniversity Of California, Riverside 2011 - 2012Riverside, CaliforniaME010 - StaticsME004 - Energy and the EnvironmentME200 - Methods of Engineering AnalysisME153 - Finite Element Methods -
Research AssistantUniversity Of California, Riverside 2010 - 2012Heat and Mass Transfer Laboratory
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Research AssistantUniversity Of Toronto 2009 - 2010Department Of PhysicsQuantum Optics Laboratory
Michael Hauser Skills
Michael Hauser Education Details
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Mechanical Engineering (Phd), Electrical Engineering (Msc), Mechanical Engineering (Msc)
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Mechanical Engineering
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Mathematics, Physics
Frequently Asked Questions about Michael Hauser
What is Michael Hauser's role at the current company?
Michael Hauser's current role is Neural networks, machine learning.
What schools did Michael Hauser attend?
Michael Hauser attended Penn State University, University Of California, Riverside, University Of Toronto.
What are some of Michael Hauser's interests?
Michael Hauser has interest in Financial Modeling, Quantum Mechanics, Computational Physics, Financial Mathematics, General Relativity, Control Engineering, Applied Mathematics, High Frequency Trading, Differential Equations, Signal Processing.
What skills is Michael Hauser known for?
Michael Hauser has skills like Python, Machine Learning, Neural Networks, Matlab, Applied Mathematics, Signal Processing, Latex, Computational Physics, Quantum Mechanics, General Relativity, Control Engineering, Computational Fluid Dynamics.
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Michael Kriegshauser
Multidisciplinary Design Leader | Taking On Challenges As They Come Through Innovative Human-Centered, Results-Oriented Design. | Quantum Design Practice Lead @ IbmAustin, Tx -
Michael Hauser
San Francisco, Ca2gmail.com, pinterest.com -
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Michael Hauser
Atlanta, Ga -
Michael Hauser
Washington Dc-Baltimore Area
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