Former BIDS Research Fellow Nick Adams, PhD, is now Founder & Chief Scientist of Goodly Labs, an organization that provides collaborative online resources and opportunities that enable citizen scientists to engage with publicly available data. He is a sociologist, data scientist, and creator building tools and experiences that help people find common ground and build a better society. In a career motivated by his aspiration to improve the world, Adams has led electoral campaigns, directed the national security division of a...
Andreas Zoglauer works at UC Berkeley's Space Sciences Laboratory on COSI, the Compton Spectrometer and Imager, a NASA satellite to be launched in 2027. He is COSI's project scientist and leads the development of its science data operations center.
Giles Hooker’s research interests focus on the interface of statistics with both machine learning and applied mathematics, as well as functional data analysis and robust statistics. Much of his research has been inspired by applications in ecology and healthcare.
Senior Scientist and Scientific Data (SciData) Division Director, LBNL
Dr. Agarwal's research focuses on scientific tools which enable sharing of scientific experiments, advanced networking infrastructure to support sharing of scientific data, data analysis support infrastructure for eco-science, and cybersecurity infrastructure to secure collaborative environments.
Jasmine Norida's lab studies the physics of how organisms interact with (heterogeneous, dynamic) natural environments, and how these interactions shape organismal form and behavior. The lab asks questions that sit at the intersection of behavior, biophysics, and evolution, and uses both theoretical and experimental tools to work with a wide range of organismal systems.
Dmitriy’s work is concerned with geometric and topological data analysis, especially with the development of efficient algorithms and software in this field.
Fatma Deniz is interested in how sensory information is encoded in the brain and uses machine learning approaches to fit computational models to large-scale brain data acquired using functional magnetic resonance imaging (fMRI). Fatma works at the intersection between computer science, linguistics, music, and neuroscience. Her current focus is on the cross-modal representation of language in the human brain.
Ivana Malenica is a Ph.D. student in the Biostatistics Division working with Mark van der Laan. She earned her Master’s in Biostatistics and Bachelor’s in Mathematics, and spent a year working as a Freeport-McMoRan research fellow in Data Science and Bioinformatics at the Translational Genomics Research Institute (TGen). Some of her prior work centers around mathematical modeling and Bayesian models for allele specific expression. Very broadly, her research interests span non/...