Anitha Krishnan is a Senior Principal Data Scientist based in California with a decade of industry experience and over 15 years of academic and research depth in biomedical engineering, medical imaging, and AI/ML. She has led production ML efforts at Genentech after building imaging-focused deep learning toolkits and models at Chan Zuckerberg Biohub and Arterys, including an internally adopted microscopy DL package (microDL). Her background spans translational research—from MRI-based survival modeling of gliomas and tumor-growth simulations to practical segmentation models for clinical imaging—bridging rigorous statistical methods with scalable engineering. Anitha combines hands-on model compression and deployment experience with a PhD-era track record in imaging algorithms, making her adept at turning complex biophysical signals into actionable clinical insights.
9 years of coding experience
17 years of employment as a software developer
B.E, Electronics and Instrumentation, B.E, Electronics and Instrumentation at University of Madras
Self Driving Car NanoDegree, Self Driving Car NanoDegree at Udacity
MS, Biomedical Engineering, MS, Biomedical Engineering at University of Rochester
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