Steven C. Howell
Dr Steven C. Howell is an Assistant Research Engineer at ARLIS supporting the Artificial Intelligence, Autonomy, and Augmentation (AAA) mission area. He is passionate about fostering broader confidence in artificial intelligence and autonomous systems through developing and applying novel test and evaluation solutions. Prior to joining ARLIS, Dr. Howell was a senior data scientist at CalypsoAI, working closely with government organizations to identify testing needs for machine learning systems and developing novel solutions to meet those needs. He was the technical lead on five DoD SBIR contracts, collectively valued at $2.4 million, with one contract transitioning to a DHS program of record focused on integrating the machine learning test methodology he developed.
Dr. Howell also served as part of the US Navy’s Next Generation Jammer (NGJ) Integrated Test Team (ITT), where he designed and built a data fusion and analysis pipeline to automate the data processing for the NGJ developmental test program. Additionally, he was a National Research Council Postdoctoral Fellow at the National Institute of Standards and Technology (NIST), applying computational methods to research the structure of biomolecules.
● Modernized and automated the data fusion and analysis process for the developmental test program of the Next Generation Jammer (NGJ), the mid-band electronic warfare system for the Naval Air System Command (NAVAIR) electronic attack platform.
● Designed, developed, and open-sourced a Markov chain Monte Carlo algorithm for sampling atomic models of B-DNA (https://onlinelibrary.wiley.com/doi/abs/10.1002/jcc.24474).
Material Using Small-Angle Scattering and Molecular Simulation: Part I: Dilute Protein Solutions”. Analytical and
Bioanalytical Chemistry 410.8 (Mar. 2018), pp. 2141–2159. https://pubmed.ncbi.nlm.nih.gov/29423600/
S. C. Howell, X. Qiu, and J. E. Curtis. “Monte Carlo Simulation Algorithm for B-DNA”. Journal of Computational
Chemistry 37.29 (Nov. 2016), pp. 2553–2563