
About Us
Moshman Research was founded in 2020 to meet the demand in the research and development (R&D) industry for affordable high-fidelity modeling and design optimization. Moshman Research began with a mission to discover and develop technical solutions where they are needed most. It has grown to support both government and private industry clients successfully.
We specialize in
Modeling and Simulation Design Optimization Control System Design Machine Learning
Meet The Team
The dynamic team at Moshman Research encompasses over 50 years of technical experience. Moshman Research effectively and efficiently utilizes subject matter expertise to solve problems that are both challenging and impactful.

Nathan Moshman, PhD
Founder and Principal Scientist
Dr. Moshman, founder of Moshman Research, was an Applied Mathematician at Applied Research Associates where he developed a code for high-altitude trapped artificial radiation belt modeling, now the government standard used by the Defense Threat Reduction Agency.
He was also a research fellow at the Air Force Institute of Technology, focusing on multi-physics modeling of hypersonic flow and flow control techniques.
He earned his PhD in Astronautical Engineering from the Naval Postgraduate School, where his dissertation work generated a methodology for mitigating supersonic blast waves using water injection, resulting in peer-reviewed publications.
He was also a Research Assistant Professor at NPS, working on hypersonic re-entry trajectory optimization and teaching courses in Space System Dynamics and Satellite Attitude Control.
Outside of work, he enjoys exploring the Pacific Northwest with his family.

Brian Sobulefsky, PE
Computational Scientist
Dr. Moshman, founder of Moshman Research, was an Applied Mathematician at Applied Research Associates where he developed a code for high-altitude trapped artificial radiation belt modeling, now the government standard used by the Defense Threat Reduction Agency.
He was also a research fellow at the Air Force Institute of Technology, focusing on multi-physics modeling of hypersonic flow and flow control techniques.
He earned his PhD in Astronautical Engineering from the Naval Postgraduate School, where his dissertation work generated a methodology for mitigating supersonic blast waves using water injection, resulting in peer-reviewed publications.
He was also a Research Assistant Professor at NPS, working on hypersonic re-entry trajectory optimization and teaching courses in Space System Dynamics and Satellite Attitude Control.
Outside of work, he enjoys exploring the Pacific Northwest with his family.

Jody Woods
Director of Engineering
Mr. Woods has expertise in rocket engine propulsion testing and received his B.S. and M.S. in mechanical engineering from Mississippi State University. He worked on DOD and DOE projects at Pacific Northwest National Laboratory and at Lockheed Martin Space Operations at NASA Stennis Space Center. After the loss of Space Shuttle Columbia, he led fracture mechanics analysis efforts involving spray-on-foam insulation at Michoud Assembly Facility and was nominated for the Rotary Stellar Award in 2008. He later became a technical leader at NASA Stennis and was awarded the NASA Exceptional Achievement Medal in 2011 for his leadership in the A3 Altitude Test Stand construction project. He also worked on the Nuclear Thermal Propulsion Total Containment Ground Test Facility sub-scale technology demonstration project and was the Agency Propulsion Test Lead on the Artemis Human Lunar Lander Program before leaving NASA.

Hemanth Vikash Kannan Rajan
Machine Learning Engineer
Mr. Kannan Rajan is a Lead Data Scientist who joined Moshman Research in 2021. In his previous role at Klara, he developed a machine learning algorithm to cluster clients based on their skin and hair types. Kannan also created a neural net to detect the credibility of news articles and trained an object detection algorithm to identify threats in real-time. He has experience as a test engineer for web applications and creates iOS applications for the App Store. At Moshman Research, his responsibilities include building machine learning models, analyzing large datasets, and feature engineering.
- Phone:+1 (540) 449-8971
- Email:redacted

Vaibhav Kukreja, PhD
Chief Computational Scientist
Dr. Vaibhav Kukreja has 15+ years of experience working with research and business problems across various fields, including math, computer science, physics, and engineering. He has over 10+ years of experience in using statistics, predictive modeling, and machine learning techniques to solve defense problems. He currently serves as Senior Principal AI Systems Engineer at Northrop Grumman Corporation, where he is a technical leader, developer, and SME in AI/ML solutions for Air Force airborne platforms. Dr. Kukreja has excellent communication and organizational skills and has experience interfacing with executive leadership, customers, and external agencies. He is deeply driven to take on challenging DoD problem spaces and believes Moshman Research is in a unique position to develop robust AI technologies to counter adversaries. As Chief Data Scientist/Machine Learning Engineer at Moshman Research, he is ready to lead innovation in AI/ML for a wide range of DoD opportunities.
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