Kevin Knuth
I have 20 years experience designing and implementing machine learning algorithms for data analysis applied to physical systems. I would characterize myself as a Computational Physicist, although I have done a great deal of both experimental and theoretical work.
My areas of expertise include: Astrophysics, Bayesian Probability Theory, Information Theory, Robotics, Signal Processing, Neuroscience, Nonlinear Dynamics, Quantum Mechanics, Foundations of Physics and Earth Science.
My overarching goal is to
Develop the field of Information Physics
- Understand how the Laws of Physics arise from Information
- Understand biological information processing
- Understand how Life arose to take advantage of information
- Construction of truly intelligent machines
Currently, I am working on three main projects:
- Foundations of Physics
It appears that some laws of physics can be derived from symmetries and order that
constrain apt quantification by an observer-participant.
Successes to date:
-- derivation of quantum mechanics
-- emergent space-time physics from quantification of causal sets
-- derivation of properties of Fermions
- Exoplanet Detection from Kepler data by reflected light
- Intelligent Instruments that perform autonomous experimental design
Past Projects Include:
- Characterizing Organic Molecules in Space (funded by NASA AISRP)
- Theory of Questions (working out the algebra and calculus of questions)
- Estimate Entropy and Mutual Information from Earth science data (funded by NASA AIST)
My areas of expertise include: Astrophysics, Bayesian Probability Theory, Information Theory, Robotics, Signal Processing, Neuroscience, Nonlinear Dynamics, Quantum Mechanics, Foundations of Physics and Earth Science.
My overarching goal is to
Develop the field of Information Physics
- Understand how the Laws of Physics arise from Information
- Understand biological information processing
- Understand how Life arose to take advantage of information
- Construction of truly intelligent machines
Currently, I am working on three main projects:
- Foundations of Physics
It appears that some laws of physics can be derived from symmetries and order that
constrain apt quantification by an observer-participant.
Successes to date:
-- derivation of quantum mechanics
-- emergent space-time physics from quantification of causal sets
-- derivation of properties of Fermions
- Exoplanet Detection from Kepler data by reflected light
- Intelligent Instruments that perform autonomous experimental design
Past Projects Include:
- Characterizing Organic Molecules in Space (funded by NASA AISRP)
- Theory of Questions (working out the algebra and calculus of questions)
- Estimate Entropy and Mutual Information from Earth science data (funded by NASA AIST)
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