Cloud Computing

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...

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...

Fengchen Liu

Fengchen just joined the group as a Science IT Consultant. Prior to joining the Lab, he worked at a Fintech company as a senior AI Engineer, at RMS (Risk Management Solutions) as a Software Engineer, and at UC San Francisco for 7 years on computational epidemiology using HPC. His research background (researchgate.net/profile/fengchen_liu) includes predictive models of infectious diseases and control of epidemic disease...

Chris Paciorek

Chris Paciorek is a statistical computing consultant and adjunct professor in the Department of Statistics. He also serves part-time as a user consultant for Berkeley Research Computing.

Areas of expertise: high-performance computing, cloud computing, and programming for data analysis/data science/statistics.

In his research, Chris works on statistical methods, often Bayesian methods, applied to environmental and public health problems, including climate science, ecology, and global health. In recent years, he has taught graduate classes on statistical computing and
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Ken Lutz

Director of Research IT

Mark Yashar

Research IT / BRC Domain Consultant and HPC User Support; Research Specialist at UCB CITRIS