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Patrick C Mock, 65619 Rancho Santa Fe Rd, Encinitas, CA 92024

Patrick Mock Phones & Addresses

619 Rancho Santa Fe Rd, Encinitas, CA 92024    760-4738232   

2741 Galicia Way, Carlsbad, CA 92009   

133 Grant Ave, Cherry Hill, NJ 08002   

525 Brian Dr, Cherry Hill, NJ 08003   

Warner Springs, CA   

Irvine, CA   

Cambridge, MA   

Morristown, NJ   

San Diego, CA   

Work

Position: Transportation and Material Moving Occupations

Education

Degree: High school graduate or higher

Mentions for Patrick C Mock

Patrick Mock resumes & CV records

Resumes

Patrick Mock Photo 27

Principal Scientist

Location:
San Diego, CA
Industry:
Research
Work:
Ram Photonics
Principal Scientist
Tetravue, Inc. Jul 2017 - Apr 2018
Senior Scientist
Pcm Photonics Feb 2017 - Jul 2017
Electro-Optics R and D Project Manager
Quantitative Biosciences, Inc. Oct 1, 2015 - Jan 2017
Vice President Engineering at Quantitative Biosciences, Inc
Ziva Corporation Jul 2012 - Oct 2015
Director of Signal and Imaging Processing
Daylight Solutions Oct 2010 - Jul 2012
Senior Scientist Laser Systems
Ziva Corporation Aug 2007 - Sep 2010
Senior Principal Scientist
Qinetiq North America Oct 2002 - Aug 2007
Principal Electro-Optical Physicist
Jdsu Jul 2000 - Oct 2002
Staff Scientist
Cytometrics 1998 - 2000
Senior Scientist
Uc Irvine Jun 1993 - Sep 1998
Assistant Research Scientist
Texas Instruments 1983 - 1986
Field Applications Engineer
Massachusetts General Hospital 1981 - 1983
Biomedical Engineer
Education:
Massachusetts Institute of Technology 1986 - 1993
Doctorates, Doctor of Philosophy
Massachusetts Institute of Technology 1977 - 1981
Bachelors
Skills:
Sensors, Simulations, Optics, Fiber Optics, Systems Engineering, Laser, Physics, Electrical Engineering, Photonics, R&D, Signal Processing, Algorithms, Optical Engineering, Laser Physics, Spectroscopy, Image Processing, Electronics, Engineering Management, Matlab, Optical Communications, Zemax, Optoelectronics, Digital Imaging, Embedded Systems, Testing, Design of Experiments, Nanotechnology, Electro Optics, Mathematical Modeling, Biomedical Engineering, Characterization, System Design, Fpga, Optical Fiber, Digital Signal Processors, Hardware Architecture, Nonlinear Optics, Circuit Design, Thin Films, Interferometry, Numerical Analysis, Research, Engineering, C, Maple, Python, Data Analysis, Latex, Experimentation, Research and Development
Interests:
Education
Languages:
English
Patrick Mock Photo 28

Software Engineer

Location:
Chaska, MN
Industry:
Computer Software
Work:
Code42
Software Engineer
Education:
Brigham Young University 2011 - 2018
Bachelors, Bachelor of Science, Computer Science
Skills:
Object Oriented Programming, Machine Learning, Statistical Data Analysis, C++, Python, Sql, C#, Android, C, Git, Javascript, Json, Data Science, Java, User Experience
Patrick Mock Photo 29

Service Technician

Location:
Encinitas, CA
Industry:
Industrial Automation
Work:
Shaw Development, Llc Nov 2012 - Apr 2016
Manufacturing Machine Technician
Future Controls Inc. Nov 2012 - Apr 2016
Service Technician
Education:
Itt Technical Institute - Harrisburg 2014 - 2015
Skills:
Manufacturing
Certifications:
Daikin Commercial Scroll Chiller Service, Repair Training
Manitowoc Ice, Factory Service Training
Injection Molding Process, Control and Setup
Patrick Mock Photo 30

Patrick Mock

Patrick Mock Photo 31

Principal Scientist At Urs Corporation

Location:
Greater San Diego Area
Industry:
Environmental Services
Patrick Mock Photo 32

Aviation Management Consultant, Booz Allen Hamilton

Location:
Greater San Diego Area
Industry:
Defense & Space
Patrick Mock Photo 33

Patrick Mock

Location:
United States
Patrick Mock Photo 34

Patrick Mock

Publications & IP owners

Us Patents

System And Method Incorporating Ultraviolet Spectral Fluorescence Technology In Sensor Applications

US Patent:
2005007, Mar 31, 2005
Filed:
Aug 5, 2004
Appl. No.:
10/913126
Inventors:
Greg Mooradian - San Diego CA, US
David Kendrick - Rio Rancho NM, US
Darren McKnight - Centreville VA, US
Patrick Mock - Carlsbad CA, US
Steven Saggese - San Diego CA, US
International Classification:
G01N033/00
US Classification:
436178000, 422073000
Abstract:
Exemplary embodiments of a sensor arrangement may combine various technologies into an integrated sensor system operative to detect and to identify hazardous biological aerosols. An aerosol sampler may collect and concentrate particles acquired from the ambient environment, eliminating or minimizing particles that are potentially not relevant to the ensuing analysis. An integrated electro-optical subsystem or other detection technology may enable fast, accurate measurements of fluorescence characteristics associated with the acquired sample material, and may additionally identify biological agents present in the sample.

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