ImageXD 2019

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.

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.

Computer Scientist Maryana Alegro is a former BIDS-BCHIS Data Science Fellow, now an Associate Professional Researcher at UCSF.  At UC Berkeley, she was a post-doc at the UCSF Grinberg Lab, where she investigated and created computational tools to assist researchers in studying human brain and dementia, especially Alzheimer’s disease (AD). Such tools incorporate a combination of machine learning techniques with visualization and computer vision. She was also responsible for the design/construction of prototype imaging equipment at the lab.  She received her MS and PhD in electrical engineering from the University of São Paulo Polytechnic School. Her major experience is in medical imaging, especially in MRI and histological image analysis.

Henry Pinkard was a BIDS Data Science Fellow and a PhD student in Computational Biology, and a member of the Computational Imaging Lab advised by Laura Waller. His work focused on combining machine learning and optical microscopy to create computational imaging systems that can diagnose disease and understand biology in new ways. Before coming to Berkeley, he worked in the Vale Lab and the Biological Imaging Development Center at UCSF, where he created open-source tools for controlling microscopes, performing new types of 3D imaging experiments, and handling the large data streams these experiments produce.

Kevin L. Keys was a BIDS-UCSF Data Science Fellow and postdoctoral scholar in the Burchard Lab at the UCSF School of Medicine. His biological research interests spanned computational genomics, bioinformatics, and statistical genetics, and his mathematical interests spanned scientific computing, high-dimensional statistical inference, and mathematical optimization. At UCSF Kevin studied the genetic basis of pediatric asthma in admixed populations using multilayered data, including genomic, transcriptomic, methylomic, sociodemographic, environmental, and clinical measures. Kevin completed his M.S and Ph.D in Biomathematics from the UCLA School of Medicine, where he developed open-source penalized regression methods for genetic association studies. He holds a B.S in Mathematics and a B.A. in Linguistics from The University of Arizona, where he did human evolution research with Michael F. Hammer and Joseph Watkins. He was a Fulbright visiting scholar in Jaume Bertranpetit’s lab at the Universitat Pompeu Fabra in Barcelona, Spain, where he studied the molecular evolution of metabolic networks in primates.