How computers see is the through-line running from Lazar Supic’s Bachelor’s degree in Electrical Engineering at the University of Belgrade, to his UC Berkeley PhD in Nuclear Engineering, to his current work as a Postdoc in UC Berkeley’s DeepDrive Industry Consortium (BDD). His work has taken a path that began with computer vision in robots, moved to gamma-ray tracking in atomic reactions, and now focuses on machine learning for automotive perception.
Research IT staff members Amy Neeser, Rick Jaffe, and Patrick Schmitz participated in the second annual gathering of UC Research Engagement Facilitators, held at UC San Diego from April 18-20, 2018. A full agenda ranged from a strong endorsement from UC system CIO (and meeting sponsor) Tom Andriola, to sessions on working with campus researchers, grant-writing, and related national activities.
What’s cloud computing, and how might you use it in your research? This workshop will cover the basics of what services are available to researchers, how to get access to them, and a set of specific research use cases where cloud computing can help.
Large corporate bankruptcy cases don’t easily lend themselves to empirical research, according to UC Berkeley Law Professor Ken Ayotte, because “sample sizes are small, and the financial data that’s available on the company leading up to bankruptcy is usually sparse and unreliable. We know when the company files, we have some basic background information about it, and we see whether the company reorganizes or liquidates at the end of the case, but we know very little about what happens during the case to drive those outcomes.”
Before her research led to an appointment as a Research Botanist at The University and Jepson Herbaria at UC Berkeley, Ingrid Jordon-Thaden graduated from the University of Nebraska-Lincoln and the University of Heidelberg, Germany. When she left Heidelberg, she took with her not only a PhD, but also the beginnings of her research on the genetic history of the genus Draba, in the mustard family.
Growing up in Anyang, in a central region of China greatly impacted by earthquakes, Qingkai Kong was inspired to do research in seismology precisely because earthquakes are serious natural hazards that affect communities worldwide. Berkeley’s proximity to the Hayward Fault influenced his decision to complete his graduate studies under Richard Allen at the UC Berkeley Seismology Lab.
Data scientists at the Berkeley Institute for Data Science (BIDS) and the University of Washington’s eScience Institute teamed up with UCSF researchers to deliver a workshop on data-driven analysis and machine learning for neuroscience imaging data. The workshop was held in January 2017, and had 30-40 participants comprised of faculty, postdocs, graduate students, and data science fellows from UCSF, UC Berkeley, Lawrence Berkeley Lab, and the University of Washington.
If you’re a Berkeley researcher in need of significant computing power, the HPC@UC program can provide rapid access to high performance computing (HPC) resources at the San Diego Supercomputing Center (SDSC).