Dr. Bethany Goldblum is a staff scientist in the Nuclear Science Division at Lawrence Berkeley National Laboratory, a research engineer in the Department of Nuclear Engineering at UC Berkeley, and Executive Director of the Nuclear Science and Security Consortium. She founded BANG (the Bay Area Neutron Group) and is active in both the science and policy of nuclear security.


Jon Whetzel is research engineer at Sandia National Laboratories and adjunct professor for gaming & animation at the University of New Mexico. His research in machine learning and artificial intelligence has been applied to several applications including commercial & educational video games, nuclear site security, and immersive training simulators for DoD & DOE. He’s co-founder of Quantum Kingdom, an AI/ML startup company formed out of the UC Berkeley Skydeck accelerator.


Dr. Robert G. Abbott holds a PhD in computer science from the University of New Mexico. As a staff member at Sandia National Laboratories for over 20 years, his work has focused on artificial intelligence and machine learning, with an emphasis on human performance, including cognitive and physiological modeling in domains such as fighter pilot training, airborne surveillance and reconnaissance, cybersecurity, and system reconstitution after electronic attack.


Abigail Bickley (aka Abby) is an Assistant Professor of Nuclear Engineering in the Engineering Physics Department of the Air Force Institute of Technology (AFIT).  She serves as the Air Force Technical Applications Center (AFTAC) Endowed Term Chair for Nuclear Treaty Monitoring and is interested in anything related to nuclear proliferation detection.



Darren Holland is a Research Assistant Professor of Engineering Physics at the Air Force Institute of Technology.  He received his B.S. from Cedarville University (CU) and M.S. and Ph.D. in Mechanical Engineering from the University of Michigan.  Darren taught various mechanical engineering courses to undergraduate students at CU.  During this time, his senior design students designed, analyzed, and improved appropriate technology applications, personal defense weapon designs, and aerodynamic car designs.  His research focuses on optimization, radiation transport in complex geometries, and developing models and simulations to analyze radiative and thermal effects in space and ground.


Chris Stewart is a postdoctoral scholar in the Department of Nuclear Engineering at UC Berkeley. He received his Ph.D. in Nuclear Engineering from the Georgia Institute of Technology in 2016. His dissertation research concerned the viability of near-field antineutrino detector arrays to continuously ensure the integrity of the declared fuel inventory in long-cycle nuclear reactors. In addition to nonproliferation and nuclear security, his interests include building strategies for mitigating the challenges of the back end of the nuclear fuel cycle.


Anirudh Nair is a research specialist in the Department of Nuclear Engineering at the University of California, Berkeley. He received his B.S. in mathematics from the University of Texas at Austin. At UT Austin, he researched under Dr. Peter Stone in the fields of AI and robotics. His interests include various machine learning topics such as reinforcement and transfer learning as well as data analysis.


Zachary McGuire is a PhD student in the UC Berkeley Department of Nuclear Engineering. His academic interests consist of, but are not limited to, non-proliferation and nuclear security, magnetohydrodynamics, and software development. Outside of the Complexity group, Zack plays tenor drums for the Cal Marching Band. After working for the government, he would like to become a university professor teaching introductory physics.


Karishma Shah is a graduate student nuclear engineering at the University of California, Berkeley. She completed a Masters in Physics from the University of Warwick, United Kingdom. She also completed the Israel Tech Challenge in Data Science and Machine Learning in Tel-Aviv, Israel. Her interests lie in the application of data science, artificial intelligence and machine learning techniques to problems in the nuclear Security and nonproliferation arena, as well as in the nuclear engineering field more broadly.


Nicholas Nolte is an undergraduate researcher at UC Berkeley studying computer science and physics. He is interested in machine learning, simulations, and software development. His work with the complexity team has included adding and improving preprocessing functions, as well as carrying out data analysis using PCA based methods.


Anurag Rao is an undergraduate student at UC Berkeley studying applied mathematics. He is interested in studying the applications of data science, artificial intelligence, and machine learning. In his free time, he enjoys watching tv shows/sports and trying new food.


Preston Dicks is a Nuclear Engineering graduate student in the Engineering Physics Department of the Air Force Institute of Technology (AFIT) and a recent graduate of the University of California, Berkeley where he majored in physics. His interests include technical counterproliferation methods and all things physics-related.