Brief Professional Bio

I’m a retired mathematician. My area of specialty is Mathematical Statistics. I worked in industry for my entire career in the area of scientific computing, including:

• Spacecraft Navigation 1980-87
  • Space Shuttle Onboard & Ground Navigation
  • McDonnell Douglas Astronautics Co., Johnson Space Center, Houston, Texas
• Artificial Intelligence 1987-1995
  • Joint DARPA & US Army program in Artificial Intelligence
  • Automated Planning using Spatio-Temporal Reasoning
  • Lockheed Austin Division, Knowledge-Based Systems, Austin, Texas
• Semiconductor Manufacturing 1995-2007
  • Optical Proximity Correction (OPC) and Design for Manufacturing (DfM)
  • Motorola Semiconductor Products Sector and Freescale Semiconductor, Austin, Texas
• National Defense 2007-2017
  • Data Science, Data Fusion, and Cyber-Security using Machine Learning methods
  • Potomac Fusion, Inc. and Sotera Defense Solutions, Austin, Texas

Experience & Skills

Over the course of my career, my work involved many different technologies and application domains.

Here’s an abbreviated list: Anomaly Detection, Artificial Intelligence (AI), Astrodynamics, Automated Reasoning, Bayesian Data Analysis (BDA), Bayesian Networks, Classical Statistical Methods, Computational Geometry, Computer Programming, Cyber-Security, Data Fusion, Data Science, Expert Systems, Machine Learning, Mathematical Models, Network Analysis, Numerical Methods, Optical Proximity Correction (OPC), Orbit Determination, Phase Shift Masks (PSM), Physical Semiconductor Design Formats (GDSII, OASIS), Semantic Web Technologies (RDF, OWL), Software Engineering, Spacecraft Navigation, Spatio-Temporal Reasoning, Statistical Models, Technical Writing, and Uncertainty Reasoning.

More on my work and educational history can be found on my LinkedIn profile.

Publications & Patents

A list of my papers and patents can be found at Google Scholar. (Here’s a PDF version, in case the link doesn’t work.)

Mathematical & Statistical Topics

Here are a few presentations that I’ve written on various topics in mathematical and statistical computing:

• Extreme Value Analysis (EVA) – A presentation on the statistical modeling of rare events
• Covid-19 and Blood Types (using a Bayesian approach) – An alternative approach to a 2020 paper in medRxiv
• Bayesian Beta-Binomial Example – An example of Bayesian parameter estimation
• Monoids 101 for Apache Spark – Tutorial on large scale, distributed computing

Python APIs (experimental):

• Gaussian Integers & Gaussian Rational Numbers: Number theory in the complex plane. github
• Qualitative Reasoning: Spatio-Temporal Reasoning using Relation Algebras and Constraint Networks. github
• Abstract Algebra - Finite Algebras in Python (Groups, Rings, Fields, Vector Spaces, Modules, Monoids, Semigroups, and Magmas) documentation and source code

Education

• Texas Tech University, Ph.D., Mathematics (Mathematical Statistics), 1980
  • Dissertation: “Robust and adaptive estimation of location and scale”
  • Citable Link: http://hdl.handle.net/2346/16490
• University of Utah, B.A. & M.A., Mathematics, 1973 & 1975

Hobbies

I’m an avid photographer. Many of my photos can be seen at Flickr.

I also enjoy drawing and painting. Some of my recent work can be found on Instagram

I also enjoy bicycling (e-biking, primarily)