AI FedLab

Edmon Begoli, is a founding director of ORNL’s Center for AI Security Research (CAISER), and is a distinguished member of the ORNL research staff.

He specializes in the research, design, and development of resilient, secure, and scalable machine learning and analytic architectures. Additionally, Edmon has been leading national programs focused on AI security, fraud prevention, veteran suicide prevention (collaboration with PERC/REACH VET), precision, and personalized medicine (MVP CHAMPION). During his tenure at ORNL, Edmon led the design of original Knowledge Discovery Infrastructure (KDI) and the Citadel efforts, the first DOE platforms for computing on protected data, including leadership-class systems.

Edmon currently co-leads ORNL’s internal AI research initiative with focus on AI safety and security applications.

Edmon is a IEEE Computer Society distinguished contributor, ACM senior member of ACM and the Apache Software Foundation (ASF) committer. In 2022, Edmon was selected as a Google Research Innovator for his academic research in robust streaming and language processing architectures.

Edmon holds undergraduate, graduate (University of Colorado-Boulder), and doctoral degrees (University of Tennessee) in Computer Science. After his PhD, Edmon was a visiting scholar with the UC Berkeley EECS department, where he is currently an associated researcher with the Berkeley’s SKY Computing lab. In addition, Edmon regularly teaches graduate-level classes at the University of Tennessee-Knoxville, EECS department.

Dr. Amanda Bullock is an accomplished Artificial Intelligence (AI) Lead at the Air Force Research Laboratory (AFRL), where she is driving digital transformation and modernization initiatives in AI, machine learning, and advanced analytics. With a Bachelor of Science in Statistics from Eastern Kentucky University and a Master of Science in Applied Statistics from Wright State University, Amanda brings a strong foundation in statistical analysis to her work.

She earned her PhD in Electrical Engineering from the Air Force Institute of Technology (AFIT) in 2013, specializing in Statistical Signal Processing. Following her postdoc work in Non-Destructive Evaluation and Non-GPS navigation, Amanda taught mathematics, biostatistics, statistics, signal processing, and data science at Wright State University, Central State University, and AFIT.

During her tenure at Central State University, Amanda was selected for a prestigious Fellowship at the Army Research Laboratory, Aberdeen Proving Ground, where she worked in the Survivability and Lethality Analysis Division. This experience further solidified her expertise in advanced analytics and AI.

In 2017, Amanda entered civil service and served as the Project Engineer for the LEGACY program, an Air Force STEM internship program. She then went on to lead the Enterprise Architecture Modeling team in 2019 before becoming the AFRL Deputy Chief Data Officer in the Digital Capabilities Directorate in 2022.

Currently, Amanda serves as the AI Lead for the Digital Capabilities Directorate, where she aims to reduce business toil through AI, connect AFRL, DoD, and industry AI efforts, and upskill the workforce in AI/ML/Advanced Analytics. Amanda’s research interests include Enterprise Architecture, STEM education for underrepresented populations, Advanced Analytics, Artificial Intelligence, Machine Learning, and Signal Processing. She is passionate about leveraging her expertise in AI and analytics to drive innovation and modernization in the Air Force and beyond.

Ms. Carper joins the Department of Energy from the Department of Housing and Urban Development (HUD) where she most recently served as the Deputy CIO for Customer Relationship & Performance Management. 

Ms. Carper is an established strategic technology and financial change agent with the continuous success of exceeding organizational operational goals. She has extensive experience in managing teams of supervisors and staff in state-of-the-art technology solutions, performing tests of internal controls effectiveness, and implementing process improvements. 

Susan K. Gregurick, Ph.D., was appointed Associate Director for Data Science and Director of the Office of Data Science Strategy (ODSS) at the National Institutes of Health on Sept. 16, 2019. Under Dr. Gregurick’s leadership, the ODSS leads the implementation of the NIH Strategic Plan for Data Science through scientific, technical, and operational collaboration with the institutes, centers, and offices that comprise NIH. Dr. Gregurick was instrumental in the creation of the ODSS in 2018 and served as a senior advisor to the office until being named to her current position.

Dr. Gregurick was previously the Division Director for Biophysics, Biomedical Technology, and Computational Biosciences at the National Institute of General Medical Sciences. Prior to joining the NIH in 2013, Dr. Gregurick was a program director in the Office of Biological and Environmental Research at the Department of Energy.

Before beginning a career of government service, Dr. Gregurick was a professor of computational chemistry at the University of Maryland, Baltimore County. Her research interests included dynamics of large biological macromolecules, and her areas of expertise are computational biology, high performance computing, neutron scattering and bioinformatics.

Dr. Gregurick received her undergraduate degree in chemistry and mathematics from the University of Michigan and her Ph.D. in physical chemistry from the University of Maryland.

Frank Indiviglio serves as NOAA’s Chief Technology Officer, leading the development and implementation of technology initiatives across NOAA. He served as NOAA’s Deputy Director, High Performance Computing and Communications. Before that, he was the Technical Lead for NOAA’s R&D HPC infrastructure at the National Environmental Security Center in Fairmont, West Virginia, and the National Climate Research Center at Oak Ridge National Laboratory. He was also a Senior Data Engineer at NOAA’s Geophysical Fluid Dynamics Laboratory in Princeton, NJ.

Before joining NOAA, Mr. Indiviglio was a Senior Research Associate at Cornell University’s Weill Medical College and Director of IT services in Columbia University’s Department of Pharmacology. He was also a systems engineer at Silicon Graphics in the Federal civilian and media markets. Mr. Indiviglio received a BS in Information Systems from Drexel University in Philadelphia, PA.

Dr. Sadovnik is the Research Lead for the newly established Center for AI Security Research (CAISER) at Oak Ridge National Lab. As part of this role, Dr. Sadovnik leads multiple research projects related to AI risk, adversarial AI, and large language model vulnerabilities. As one of the founders of CAISER, he’s helping to shape its strategy and operations through partnership development, workshop organization, teaching, and outreach.

In addition to his work and publications in AI and AI security, Dr. Sadovnik has a deep interest in workforce development and computer science education. Prior to joining the lab, he served as an assistant professor in the department of electrical engineering and computer science at the University of Tennessee, Knoxville and as an assistant professor in the department of computer science at Lafayette College. He received his PhD from the School of Electrical and Computer Engineering at Cornell University, advised by Prof. Tsuhan Chen as member of the Advanced Multimedia Processing Lab. Prior to arriving at Cornell he received his bachelor’s in electrical and computer engineering from The Cooper Union.

He continues to teach graduate courses related to machine leaning and artificial intelligence at the University of Tennessee, Knoxville.