Virtual Machines

AEoD Virtual Machines

Analytics Environments on Demand (AEoD) is a virtual machine service for researchers who need to run analytic software packages (ArcGIS, Python, R Studio, Stata, SPSS, etc.) on a platform that is scaled up from a standard laptop or workstation. AEoD virtual machines are available running Windows or Linux OS, and may be used with moderately sensitive (P3) data. The AEoD Service is offered as a partnership between Research IT and campus departments, organizations and schools.

Joleen Locanas

Joleen helps on the Secure Research Data and Compute platform and brings deep expertise in service management and service design from her work in bIT.

Hamza Kundi

Hamza is a Research Computing Intern and an undergraduate majoring in Computer Science and Statistics. His professional interests include Data Science and System Administration/DevOps. His other interests include exploring random tunnels and hiking with friends at 4 AM.

Jason C. Christopher

I am a Research Computing Architect, Service Lead and Information Security Officer in Research IT at UC Berkeley. I currently manage the:

Secure Research Data and Computation (SRDC) Platform, providing secure, scalable, customized virtual machines, and high performance computing (HPC) for research with sensitive and protected data. The Platform serves schools and departments across campus, ranging in study from...

Eric Wilbanks

Eric Wilbanks is a PhD candidate in Linguistics and a Domain Consultant in Research IT. His research focuses on human speech perception, acoustic phonetics, and automatic speech recognition. He is especially interested in secure data, virtual machines, and high-performance computing.

Shaw Dong

Shaw comes to us from SLAC where he was the HPC architect charged with overhauling their HPC infrastructure and services to meet the rapidly changing needs of researchers. Prior to that, Shaw worked for 15 years at UC Santa Cruz where he was the de facto founder of Research Computing and was responsible for a succession of HPC clusters that made the Top500 list of the fastest supercomputers in the world. Shaw was also an...

Jeff D'Ambrogia

Jeff is a Science IT consulting engineer who provides consulting support and services to science and technical programs at the Lab. Prior to joining the Lab, Jeff spent 5 years as the CTO for a national specialty pharmacy company, building the business from the initial founding to the sale of the company. Prior to that Jeff spent over 20 years as an IT consultant working for various startups and established companies in a...

Ronald Sprouse

Ronald Sprouse holds a part-time appointment with Research IT as a member of the Secure Research Data and Compute (SRDC) service team. He is also an Information Systems Analyst in the Linguistics Department.

Within SRDC he supports the provisioning and setup of virtual machine research environments for the analysis of sensitive data.

His areas of expertise include data management and analysis of language documentation and research, including signal and image processing for phonetics and the long-term preservation of and access to field...

James Duncan

James is a PhD student in Biostatistics advised by Bin Yu and a domain consultant with Berkeley Research Computing. He is driven by a passion for helping domain experts extract more insight from their data.

Domain, Discipline, Field of Study, or Areas of Interest: Statistics / Machine learning

Home Department: Biostatistics

Computer Languages...

Clint Hamilton

Clint Hamilton is a Domain Consultant with Berkeley Research Computing and a PhD student in Finance at the Haas School of Business. His research focuses on behavioral finance. Additionally, he is interested in big data and high performance computing.