News

Hack weeks as a model for data science education and collaboration

In a new article in PNAS, BIDS Research Scientist Karthik Ram and his co-authors explore the new concept of Hack weeks as a model for data science education and collaboration, and examine its implementation as a platform for improving participant engagement in interdisciplinary research.

Berkeley Distinguished Lectures in Data Science - Fall 2018 Series

Data Science Discovery Program: Spring 2018 highlights report, and call for new projects

Mapping the human brain to combat Alzheimer's

BIDS/ICHS Data Science Fellow and Computer Scientist Maryana Alegro uses computer vision, machine learning and medical imaging to generate and analyze large-scale protein maps of the human brain.  Her maps are used to develop and validate imaging biomakers for the early diagnosis and treatment of brain disease.

Harnessing genomics and machine learning to understand evolution

BIDS Data Science Fellow and Molecular Biologist Ciera Martinez studies the molecular mechanisms that guide plant and animal development. Her work furthers our understanding of genome evolution and the genetic basis of human disease. How do organisms get their shape?

Restoring voter confidence with data science

BIDS Data Science Fellow Kellie Ottoboni develops efficient statistical methods that help reveal errors or fraud through post-election audits, providing voters with confidence that their vote was counted correctly.

Driving the imaging revolution in biology

BIDS Data Science Fellow Joh Schöneberg uses advanced lattice light-sheet microscopy (LLSM) to image cells and tissues in 4D, and develops novel image analytics tools - such as the pyLattice library - to make new biological discoveries possible. 

Addressing California’s water challenges and energy issues

Building bridges between astrophysics and nuclear medicine

BIDS-LLNL Data Science Fellow and Astrophysicist Andreas Zoglauer launches telescopes into the upper stratosphere to observe supernovae, pulsars and black holes. His MEGAlib software toolkit is used to design gamma-ray detectors for astrophysics, environmental monitoring, and cancer treatment.

Bin Yu Receives Prestigious Elizabeth L. Scott Award

BIDS Senior Fellow and Statistics Professor Bin Yu has been chosen by the Committee of Presidents of Statistical Societies (COPSS)  as the recipient of this year's prestigious Elizabeth L. Scott Award for her scientific contributions to statistical and machine learning methodology; her dedication and commitment to diversity, equity, and inclusion in the statistics field; and for her mentorship of women students.