Blog: Data Science Insights

2018 TechWomen researchers visit LBNL and BIDS

Challenges of Doing Data-Intensive Research in Teams and Groups

Report from the BIDS Best Practices in Data Science Series by Stuart Geiger and Dan Sholler, based on a conversation with Aaron Culich, Ciera Martinez, Fernando Hoces, Francois Lanusse, Kellie Ottoboni, Marla Stuart, Maryam Vareth, Sara Stoudt, and Stéfan van der Walt.

NumPy presentations at EuroScipy 2018

I recently attended EuroScipy 2018, which was held in the beautiful city of Trento, Italy. The conference, attended by about 200 people from all over Europe, began with two days of tutorials, then two days of talks, and ended with a sprint day.

Cervical cancer, taboos and cure: why do we need to streamline cancer detection?

From Ada Lovelace, the British mathematician who wrote the first computer program, to Henrietta Lacks, the African American woman who revolutionized medical research with her tumoral cells, dying from cervical cancer has been the price to pay for being a woman.

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 biomarkers 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. ___________________________

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.