Lab Partnering Service Discovery
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Alexander Romanenko leads Fermilab's program in superconducting quantum systems and oversees the lab’s quantum technology portfolio, including the fundamental physics experiments based on the emerging quantum technology platforms. Romanenko is a senior scientist at the lab and the Associate Head for Superconducting Radio Frequency (SRF) technology in the Applied Physics and Technology Division, overseeing SRF R&D and project work of the division. Romanenko has a Ph.D. in physics from Cornell University and joined Fermilab in 2009 as a Peoples Fellow. He is a Fellow of the American Physical Society and his scientific work has been recognized by several national and international awards, including the 2017 USPAS prize for achievement in accelerator physics and technology, 2011 DOE Early Career Award and 2011 IEEE PAST Doctoral dissertation award.
Fermilab is America's premier laboratory for particle physics and accelerator research. Since 1967, Fermilab has worked to expand humanity's understanding of matter, energy, space and time, studying the smallest building blocks of matter using some of the largest and most complex machines in the world.
The laboratory's 6,800-acre site is located in Batavia, Illinois, and its 1,700-plus employees include scientists and engineers from around the world. More than 4,000 scientists from over 50 countries also collaborate with Fermilab to build and operate world-leading accelerator, detector and computing facilities to investigate the physics of fundamental particles.
One of the world's pioneering laboratories for accelerator science and technology, Fermilab is home to the 83,000-square-foot Illinois Accelerator Research Center (IARC), where lab scientists and engineers partner with industry to translate technology developed in the pursuit of science into the next generation of industrial accelerators, products and applications. The center features an experimental area and provides state-of-the-art facilities for visiting scientists and entrepreneurs, including the Accelerator Applications Development and Demonstration (A2D2) machine, a test platform for electron-beam- and X-ray-based inspection and testing.
Fermilab's Office of Partnerships and Technology Transfer is a vital part of the laboratory, transitioning technologies to private-sector partners to enhance the nation's economic competitiveness. The office enables the formation of high-impact partnerships with industry, academia and other institutions that support the global and scientific missions of the lab.
Gabriel Perdue is a Scientist in Fermilab’s Quantum Institute, where he works on quantum computing for simulation and machine learning, and more generally on machine learning in physics. He also has a long history at Fermilab in neutrino physics and spent the last decade working on the MINERvA experiment and on the GENIE MC event generator.
Areas of expertise: AI Algorithms for Data Analysis and Systems Control
Farah Fahim is the Deputy Head of the Quantum Science Program at Fermilab. She is a Senior Engineer specializing in Mixed Signal ASIC design. She develops low-noise, high-speed, reconfigurable pixel detectors which operate in harsh environments for a variety of applications including High Energy Physics and Photon Science. Fahim has a PhD in Electrical and Computer Engineering from Northwestern University. She joined Fermilab in 2009 prior to which she was an Engineer at Rutherford Appleton Laboratory, UK. She holds four patents and several record of inventions. She received the best presentation award at IEEE NSS in 2016.
Brian Nord works at the intersection of artificial intelligence (AI), quantum computing, and astrophysics. Primarily, he uses big data sets from astronomy and AI techniques to learn about dark energy, dark matter and the very early universe. In particular, Brian uses deep neural networks to classify and measure large numbers of astronomical objects and remove noise from cosmic images. He applies generative modeling, like GANs, to produce fast simulations of the cosmos. He is also using deep reinforcement learning for the development of a self-driving telescope for automated astronomical observation and discovery.
On the other hand, Brian also uses big astronomical data sets to address key challenges with deep learning --- such as the interpretability of neural networks, integration of neural networks with statistics and integration of AI algorithms with physical models. In particular, he is developing techniques in Bayesian statistics to improve uncertainty quantification in deep learning models.
Brian is an Associate Scientist at Fermilab in Batavia, Illinois, and Senior Member of the Kavli Institute for Cosmological Physics. He is also the founder and Principal Investigator for the Deep Skies Lab (deepskieslab.ai), an international community of researchers who work in the space of artificial intelligence and astrophysics.
Areas of expertise: Artificial Intelligence; Cosmology; Astrophysics; Simulations; Deep Learning; Statistical Modeling