I am a graduate student from the University of Massachusetts Amherst. I am fascinated by applying high-throughput imaging analysis to understand biological questions. It is a great opportunity for me to learn advanced software and machine learning methods!
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Segmentation is an integral step of any bioimage analysis workflow, which involves delineating areas or objects of interest within an image 1 . All the measurements performed on the image, e.g. size, shape, counts, or pixel intensities are then assigned to these segmented areas or objects to...
I'm a 2nd year PhD student at the Theislab in Munich, Germany. There, my primary focus is development of tools and resources for spatial multi-omics. At the Broad to learn more about xxx terabyte scale data and how we can use phenomics to better understand perturbations.
After graduating from UC Berkeley and Ecole Centrale Paris, I am currently an MLSC intern focusing on gaining biological insights from cell profiles using counterfactuals and deep learning tools. I am enthusiastic about utilizing my background in mathematics and computing to contribute to the drug...