James Ecker

James Ecker

Hampton, VA
NASA
jecke004@odu.edu

About

I came to Old Dominion to join the CS department as a PhD student in the Web Science and Digital Libraries lab in the Fall of 2019.

I live in Hampton, VA with my wife and daughter, and work as an AI and Machine Learning researcher for NASA at Langley Research Center.

My primary research interests are in Deep Reinforcement Learning, Deep Unsupervised Learning and Generative Models with application in synthetic cognition in autonomous systems.

I like music. Here is my current Spotify On Repeat playlist

and here is my latest Spotify Wrapped

Education

Old Dominion University
PhD
Computer Science
Sept 2019 - Current

Web Science and Digital Libraries


Georgia Institute of Technology
Master of Science
Computer Science
2015 - 2017

Master Degree specializing in Machine Learning and Artificial Intelligence


Florida Southern College
Bachelor of Science
Computer Science
2010 - 2013

Bachelor Degree

Work Experience

Research Computer Scientist
NASA Langley Research Center
Jan 2019 - Current

I work in the Autonomous Integrated Systems Research Branch (D-332) as a researcher pursuing studies in trust and explainability in artificial intelligence agents and in methods to achieve autonomy in In-Space Assembly operations.

In particular, I currently serve as a principal investigator on a system that generates internal visual representations of targets derived from human provided natural language descriptions for Autonomous Flight Systems.

I also serve as a technical lead for machine learning methods. I am currently focused on using Deep Reinforcement Learning Policy Optimization methods for Autonomous Systems Controls and Reasoning.


Data Scientist
NASA Langley Research Center
Oct 2016 - Jan 2019

In this role, I served as a data scientist on the Office of Chief Information Officer's Data Science team.

My duties included acting as an analyst evaluating automation studies involving AI and Machine Learning, consulting on the design and use of deep learning architectures to meet the needs of stakeholders, evaluating data analysis tools, and developing new data science research.


Graduate Research Assistant
Intelligence and Space Research
Los Alamos National Laboratory
Jan 2015 - Oct 2016

My time in the ISR division was spent doing software development for a joint DOE/USAF satellite package for Nuclear Non-proliferation Act Treaty verification.


Graduate Research Assistant
High Performance Computing
Los Alamos National Laboratory
May 2014 - Jan 2015

At HPC division I performed Hadoop administration, application development, systems integration, and performance evaluation of Amazon Web Services and Hadoop File System within petascale supercomputing environment.

This involved parallel storage systems engineering and administration of Lustre and Scality file systems. I also did experimental software engineering, including research and development of a Parallel Data Movement as a Service system and designed and implementated an Inventory Database Application for the High Performance Computing division.