Skilled Scientists and Engineers at your disposal. We work on projects of all sizes. Our clients range from small start-up companies to large government organizations. Projects can last from one day to several months.

ScienceOps develops, validates, and optimizes scientific software and informatics systems. Our highly skilled team of scientists and engineers not only has exceptional expertise in high-performance scientific computing but also expertise in a broad spectrum of scientific and engineering disciplines.

This enables ScienceOps to rapidly and efficiently develop and validate scientific tools for fields ranging from proteomics to forest management to spacecraft propulsion and environment effects. To ensure that it delivers the highest quality products to its clients on time and on budget, ScienceOps adheres to its SciCode^TM Process, a synthesis of scientific computing techniques and software development processes that provides client visibility and control over the work process.

ScienceOps primary service is quickly validating and optimizing existing scientific code, including specialized techniques such as porting software to parallel cluster architectures. ScienceOps also provides Technical Due Diligence. Our net objective is to help you improve the speed and validity of your scientific tools, enabling you to bring your products to the market more quickly, and improve your return on investment.

Dr. Minor is an expert in computational physics, parallel and grid computing, nuclear physics, radiation transport, and numerical methods. In his ten years of service in the Air Force and eleven years experience in the commercial sector, he has led both large and small teams of scientists, programmers, and testers in developing a wide range of software and custom algorithm applications. Over the last decade Dr. Minor has developed and perfected the ScienceOps SciCode^TM software algorithm development process. Due to Dr. Minor's extensive experience in creating and implementing algorithms, he is able to independently validate any algorithm's implementation, numerical precision, accuracy, and optimization.

• Developed state-of-the-art DNA sequencing applications for Geospiza
• Architect of new Momentum Exchange Tether system simulation framework (MXER SIM)
• Developed optimal constrained numerical spline algorithm for Lumber industry, used in lumber mills around the world
• Performed validation of physics algorithms used in BAE Systems counter measure systems
• Developed algorithm for highly constrained optimal in-floor heating system design for arbitrary rooms
• Nominated for Technical Achievement Award at DARPA Tech 2004
• Accredited Consultant for Mathematica
• Developed original algorithms for USAF for all the following:
• Formulation of minimum flight time and maximum payload to orbit for given booster technology
• Nuclear radiation transport in 2D using Exponential Moment discrete ordinates technique
• Discovered key recursion formulas and numerical methods for formulating Exponential Moment functions
• 3D relativistic Parallel PIC plasma simulation
• War-gaming simulations

• Ph.D., Computational Physics, Air Force Institute of Technology, 1993
• M.S., Nuclear Science, Air Force Institute of Technology, 1988
• B.S., Physics, Central Washington University, 1986

Dr. Frajka is an expert in data compression, data manipulation, and communications over noisy channels. Dr. Frajka has extensive experience in digital signal processing, in transform domain analysis and compression, and in image and video processing. He has worked on research in image and video coding (e.g., JPEG, JPEG2000, MPEG, stereoscopic images, document/compound images), and on communication techniques over noisy channels (including error correction and mitigation of effects of data loss).

He also has experience in probability theory, Monte-Carlo simulations, software engineering, and Linux/Mac OS system administration.

During his tenure at ScienceOps Dr. Frajka has made significant contributions to optimizing floor tiling with heating elements in a highly constrained environment, to novel approaches to Internet advertising, and to creating a complete Mathematica cluster environment with a Web interface.

• Ph.D., Electrical and Computer Engineering, University of California, San Diego, 2003
• B.S., M.S., Computer Science, Budapest University of Technology and Economics, 1995