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Machine Learning

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Predictive modelling applied to imaging and patient data to help anticipate disease progression and grade severity.

Jessica's machine learning is applied rather than academic. Her listed proficiency describes it as applied through AI data annotation and model-training contract work. She holds an active contract with Mercor AI and certification from Micro1, and has also worked through Alignerr and OpenTrain, which are the platforms that broker this kind of work. The tooling is CVAT, Labelbox and Roboflow. This work sits deliberately apart from her research profile, and she keeps it that way on LinkedIn and Xing. It is also why machine learning appears among her personal interests and not only among her qualifications. Someone who has labelled training data at volume understands what a model is actually learning from, which is a different kind of knowledge from having trained one. In a field moving toward image-based single-cell classification, that is a useful thing to have done.

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