Prof. Downing has 40 years of industry research experience from 3COM and IBM and as a former adjunct professor. The Downing research group applies the tools of data mining and data science to astronomy and cryptography. Through applied computer science and data science, the group hopes to move towards deciphering the Voynich manuscript and also detecting near-earth objects using signal-to-noise detection mining of NASA datasets. He is also the director for the Astrophysics Research Institute at ASDRP.
Dr. Mui received his B.Sc., M. Eng, and PhD from the Massachusetts Institue of Technology (MIT) and an M.Phil from Oxford as a Rhodes scholar, and is currently the senior vice president of technology at SalesForce. The Mui group uses applied computer science to study social interactions among human beings. Dr. Mui is interested in the evolution of cooperation and in gendered biases that developers have in artificial intelligence and machine learning.
Software Engineering, Machine Learning
Sam is a UC Berkeley graduate with several years experience as a software engineer at Google and Amazon. His group is interested in using machine learning to classify and analyze real-world problems - specifically, the utilization of machine learning to perform sentiment analysis on large datasets from social media platforms towards understanding how society responds to global events such as climate change and, more recently, COVID-19.
Electrical Engineering, Computer Science
Dr. McMahan received his M.S. and Ph.D. from Rice University. His research group utilizes computer science modeling to understand phenomena at the quantum level and is interested in quantum computing applied to small molecule and single-atom perturbations, materials science and engineering, and chaos theory as it relates to chromodynamics and photophysical phenomena. Dr. McMahan oversees our quantum computing emulator.
Quantum Mechanics, Applied Physics
Calvin is pursuing a PhD in physics at MIT studying the phenomena of fast radio bursts: brief, intense flashes of radio-frequency light originating from outside the Milky Way. His past research interests have included quantum communication and searching for dark matter using atomic clocks. In addition, he was a vibration engineer working on the Falcon 9 at SpaceX. Students interested in joining his group should reach out to him.
Mechanical Engineering, Physics, Computer Science
The Papano research group at ASDRP is interested in applying the tools of 3D printing and computer science towards applications in physics, engineering, and mechanical design. The group has been previously involved in aerodynamics research, using 3D printing to optimize turbine design - this summer he will be involved in capturing gigajansky radiobursts using a trans-national Raspberry Pi cluster.
Physical Chemistry, Materials Science
Nilai Patel is an experienced materials engineer with a background in electrochemistry and physical chemistry. Nilai Patel's research group is interested in the development of modern materials with unique physical and electrochemical properties for applications in nanotechnology and engineering. The Patel group is also involved with the Astrophysics research institute at ASDRP, where they work on photovoltaic materials for space craft energy sequestering.
Dr. Dani received her MS and PhD in electrical engineering from the University of Colorado. Her research interests involve using radiorequency (RF) physics to understand the world around us, and her research group at ASDRP applies a combination of hardware, software, and mechanical-electrical engineering to solve such problems.
Suresh is a seasoned executive and data scientist with experience in managing large operations and applying data science to solve business problems. His group works on data science and its various applications to society, policy, and organizations.
Computer Science & Software Engineering
Keshav Rao is a graduate of UC Berkeley in Computer Science and co-founder of several startups in the Bay Area including Goodpoint, Inc. where he is focusing on applying computer science and software engineering to a variety of real-world applications, including modern healthcare systems.
Princeton Applied Research Scanning Potentiostat
Our Princeton Applied Research scanning potentiostat is utilized for electrochemical measurements and for monitoring of redox-active materials.
ASDRP operates four 3D printers for model production and for engineering and fabrication of turbines, components for hardware, and much more. Students learn how to operate the 3D printers and use cad software in the 3D printing course.
Quantum Computing Simulator Environment
Our server cluster operates a quantum computing emulator which allows research students and research groups to launch jobs that require QC applications.
Raspberry Pi systems
ASDRP has several raspberry pi miniature computers used in research students' projects.
High-Throughput Computing Server & Cluster
ASDRP operates four industry-grade Dell PowerEdge serves equipped with Xeon 48-core processors, over 64 GB RAM, and remote access to meet the needs of our computational students.
Our industrial-grade laser cutter is used for research students who construct and engineer components or models. It uses a high-power laser to cut wood, plastic, and other materials.