Dr. Sterling Thomas is GAO’s Chief Scientist in Science, Technology Assessment, and Analytics.

Prior to joining GAO, he was the Chief Scientist at Noblis, a Reston, VA based research institute overseeing their applied research programs for the past 13 years. Sterling has also served as a principal investigator for research programs funded by the National Institutes of Health, Department of Defense, and Intelligence Advanced Research Projects Activity. His work has included creating new methods regarding synthetic biology, strategies for decoupling qubits for improving error correction in quantum computing, methods for using artificial intelligence to detect decentralized coordinated cyber-attacks, and network-based optimization algorithms to detect abnormalities in public equities markets.

Sterling’s contributions have been recognized across industry including by Institute of Electrical and Electronics Engineers for best paper utilizing machine learning methods in detecting breast cancer, and at his former institute where he received the Science and Technology Achievement award. He has also been awarded four patents and has multiple pending patent applications. Sterling earned a Doctor of Philosophy in Integrated Life Sciences from VCU, a Master of Business Administration from Columbia University, and Bachelor of Science from Old Dominion University.