Mei Chen is a principal research manager at Microsoft. She was an associate professor in the Electrical and Computer Engineering Department and director for the Information Science PhD Program at the State University of New York, Albany. She was the founding chair for the Workshop on Computer Vision for Microscopy Image Analysis that has been held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition since 2016. Mei has published extensively in computer vision and biomedical image analysis. Her work was nominated as a finalist for six Best Paper Awards, for which she won three. She earned a PhD in robotics from the School of Computer Science, Carnegie Mellon University, and an MS and BS from Tsinghua University, Beijing, China.

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• 1. A biologist’s perspective on computer vision2. Microscopy image formation, restoration and segmentation3. Detection and segmentation in microscopy images4. Visual feature representation in microscopy image classification5. Cell tracking in time-lapse microscopy image sequences6. Mitosis detection in biomedical images7. Object measurements from 2D microscopy images8. Deep learning-based nuclei segmentation and classification in histopathology images with application to imaging genomics9. Open data and software for microscopy image analysis

Mei Chen is a principal research manager at Microsoft. She was an associate professor in the Electrical and Computer Engineering Department and director for the Information Science PhD Program at the State University of New York, Albany. She was the founding chair for the Workshop on Computer Vision for Microscopy Image Analysis that has been held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition since 2016. Mei has published extensively in computer vision and biomedical image analysis. Her work was nominated as a finalist for six Best Paper Awards, for which she won three. She earned a PhD in robotics from the School of Computer Science, Carnegie Mellon University, and an MS and BS from Tsinghua University, Beijing, China.

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• 1. A biologist’s perspective on computer vision2. Microscopy image formation, restoration and segmentation3. Detection and segmentation in microscopy images4. Visual feature representation in microscopy image classification5. Cell tracking in time-lapse microscopy image sequences6. Mitosis detection in biomedical images7. Object measurements from 2D microscopy images8. Deep learning-based nuclei segmentation and classification in histopathology images with application to imaging genomics9. Open data and software for microscopy image analysis

Mei Chen is a principal research manager at Microsoft. She was an associate professor in the Electrical and Computer Engineering Department and director for the Information Science PhD Program at the State University of New York, Albany. She was the founding chair for the Workshop on Computer Vision for Microscopy Image Analysis that has been held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition since 2016. Mei has published extensively in computer vision and biomedical image analysis. Her work was nominated as a finalist for six Best Paper Awards, for which she won three. She earned a PhD in robotics from the School of Computer Science, Carnegie Mellon University, and an MS and BS from Tsinghua University, Beijing, China.

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• 1. A biologist’s perspective on computer vision2. Microscopy image formation, restoration and segmentation3. Detection and segmentation in microscopy images4. Visual feature representation in microscopy image classification5. Cell tracking in time-lapse microscopy image sequences6. Mitosis detection in biomedical images7. Object measurements from 2D microscopy images8. Deep learning-based nuclei segmentation and classification in histopathology images with application to imaging genomics9. Open data and software for microscopy image analysis