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HP Labs NASA Ames Research Center cheap access to space University of Illinois at Urbana-Champaign California Institute of Technology (Caltech).

I Won Best Table Topics at Startup Speakers Toastmasters

I won Best Table Topics at Startup Speakers Toastmasters

Best Table Topics at Startup Speakers Toastmasters May 16, 2018
Best Table Topics at Startup Speakers Toastmasters May 16, 2018

(C) 2018 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

Legal Expert for Data Analysis Tool (Contract)

Legal Expert for Data Analysis Tool (Contract)

Legal Expert
Data Analysis Tool

We are seeking a legal expert with experience in intellectual property (IP), technology licensing, and the legal issues of handling and protecting confidential and proprietary data of customers.  Specific projects may include evaluating the patentability of novel data analysis algorithms, assisting in evaluating the business case for patenting a new technology, drafting and filing patent applications, drafting technology licensing agreements, and drafting agreements to handle sensitive confidential and proprietary data from customers — data may include patient data from medical and pharmaceutical sources.

The ideal candidate will have both technical and legal experience with data analysis tools such as SAS, MATLAB, SPSS, Mathematica, etc.

Our Business

We are developing tools and algorithms to automate complex data analysis, reducing costs and increasing results.

Complex data analysis is a multi-billion dollar business. Major data analysis tool makers alone report revenues totaling over $4 billion per year: SAS Institute ($3.2 Billion), IBM SPSS ($0.3-1.0 Billion), MathWorks ($850 Million), Wolfram Research (at least $40 million), and a number of less well known smaller firms. Medical businesses, financial firms, and science and engineering organizations spend billions of dollars per year on these tools and the salaries of the analysts, scientists, and engineers performing the analyses.

Complex data analysis increasingly determines the approval of new drugs and medical treatments, medical treatment decisions for individual patients, investment decisions for banks, pensions, and individuals, important public policy decisions, and the design and development of products from airplanes and cars to smart watches and children’s toys.

State-of-the-art complex data analysis is labor intensive, time consuming, and error prone — requiring highly skilled analysts, often Ph.D.’s or other highly educated professionals, using tools with large libraries of built-in statistical and data analytical methods and tests: SAS, SPSS, MATLAB, Mathematica, Scientific Python, the R statistical programming language, Excel and similar tools.  Salaries and overhead for these analysts range from $40/hour to $200/hour (using a 25 % overhead rate), sometimes even more.

Total Cost of Analyses ($50/hour)
Analysis Duration (Hours) Total Cost

2 weeks ( 80) $4,000
2 months (320) $16,000
6 months (960) $48,000

Results often take months or even years to produce, are often difficult to reproduce, difficult to present convincingly to non-specialists, difficult to audit for regulatory compliance and investor due diligence, and sometimes simply wrong, especially where the data involves human subjects or human society. Many important problems in business and society remain unsolved despite modern computer-intensive data analysis methods.

A widely cited report from the McKinsey management consulting firm suggests that the United States may face a shortage of 140,000 to 190,000 such human analysts by 2018: http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation

Please see our web site http://www.mathematical-software.com/ for more details.

Requirements

o At least three years of recent paid professional experience as a practicing attorney specializing in intellectual property (IP) law, technology licensing, and confidential data protection for complex algorithms embodying advanced mathematical and/or statistical methods, either software or hardware, e.g. Application Specific Integrated Circuits (ASICs).

o Law Degree from Accredited Law School

o Licensed to Practice Law in California and Delaware.

Strongly Preferred

o Specific experience with intellectual property law, technology licensing, and confidential data handling and protection for data analysis tools or services.

o At least three years of hands-on experience in data analysis. Graduate research experience leading to a Ph.D. is acceptable. Need not be current experience. We are looking for a legal expert who started out doing data analysis before entering the legal field.

Preferred

o Located in San Francisco Bay Area and can visit our office in Sunnyvale, CA if needed.

This is a part-time, contract position (not W-2).

Please send resume or curriculum vitae with cover letter.

No recruiters or head-hunters.

(C) 2018 by John F. McGowan, Ph.D.

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IEEE Birthplace of Silicon Valley 1956 Placque
IEEE Birthplace of Silicon Valley 1956 Plaque

A new memorial was just completed at 391 San Antonio Road in Mountain View, California where Shockley Semiconductor had its first office/lab.  This replaces an old dinky street sign with giant mock transistors, a large memorial plaque and 391 in man-sized numbers, all facing San Antonio Road.

Today Mountain View, where I live, is best known as the home of Google.  It has however a long history in the Silicon Valley, notably as the original home of William Shockley’s Shockley Semiconductor, progenitor of the early Silicon Valley semiconductor companies.  Both Robert Noyce and Gordon Moore of Intel worked for Shockley and left to found first Fairchild Semiconductor and then Intel after disputes with the Nobel prize-winning inventor of the transistor.

Shockley Memorial 391 San Antonio Road Plaque and Giant Number
Shockley Memorial 391 San Antonio Road Plaque and Giant Number
Shockley Memorial 391 San Antonio Road Mock Diodes and PCB
Shockley Memorial 391 San Antonio Road Mock Diodes and PCB

 

Shockley Memorial 391 San Antonio Road Plaque Closeup
Shockley Memorial 391 San Antonio Road Plaque Closeup

If you are in Mountain View, California, take a few minutes to visit 391 San Antonio Road.

 

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).