BIDS' inaugural ImageXD event was held on June 7-9, 2016, in Berkeley, CA. Participants included over 50 researchers from 14 institutions representing expertise in computer vision, microscopy, materials imaging, photography, earth science, neuroscience, astronomy, software development, and more.
For a complete summary of the workshop, including links to tutorials and talks, read this article:
ImageXD: Image Processing across Domains
June 22, 2016 | Kevin Koy and Ariel Rokem | BIDS News
- Ariel Rokem (eScience)
- Dani Ushizima (BIDS and LBNL)
- Stefan van der Walt (BIDS)
- Kevin Koy (BIDS)
BIDS Faculty Affiliate Dani Ushizima is a Staff Scientist in the Machine Learning and Analytics Group in the Computational Research Division at Berkeley Lab, where she leads the Image Processing/Machine Vision team at CAMERA, and an Affiliate Faculty of the Bakar Computational Health Sciences Institute (BCHSI) at the University of California, San Francisco. She also leads the Center for Recognition and Inspection of Cells (CRIC), where her research focuses on imaging cancer cells for early-stage disease diagnosis. With 20 years of research and development experience in Computer Vision, Dani has focused primarily on quantitative microscopy and microstructure classification, from materials science to biomedical imaging.
Stéfan van der Walt is a researcher at BIDS. He is the founder of scikit-image and co-author of Elegant SciPy. Stéfan has been developing scientific open source software for more than a decade, focusing mainly on Python packages such as NumPy & SciPy. Outside work, he enjoys traveling, running, and the great outdoors.
Kevin Koy served as BIDS Executive Director from 2014-2017. He was responsible for the administration and operations of BIDS and worked to connect people with the data, methods, and tools to accelerate their research.
Before joining BIDS, Kevin directed the Geospatial Innovation Facility in the College of Natural Resources, where he successfully built a thriving community focused on sharing scientific expertise and helping people understand the changing world through the analysis and visualization of spatial data.
Before arriving at Berkeley, Kevin worked with the American Museum of Natural History's Center for Biodiversity & Conservation and the Smithsonian's Conservation Biology Institute. He conducted research throughout Southeast Asia using data from radio-collared animals, sensors, and satellites to better understand the history and needs of unique and endangered ecosystems.
Kevin received a BA in environmental studies and anthropology from the University of Pennsylvania in 1998 and an MS in biology from George Mason University in 2003. He has also completed advanced graduate work in geography at the City University of New York with a focus on earth and environmental science.