Sandhya Prabhakaran is a research scientist specializing in statistical modeling and machine learning with nine years of experience bridging computational biology, machine vision, robotics and text processing. She holds a PhD in Applied Statistics (Machine Learning) from Universität Basel and an MSc in AI (Robotics) from the University of Edinburgh, and has held postdoctoral roles at Columbia and Memorial Sloan Kettering before joining Integrated Mathematical Oncology at Moffitt Cancer Center. Her research focuses on clustering, network inference and sparsity selection models applied to biological systems, and she has been recognized with multiple best-paper awards and an American Express ML challenge runner-up finish. Prior to academia she developed low-level mainframe networking and applications at IBM and UST Global, giving her a rare combination of systems programming and advanced statistical research expertise.
9 years of coding experience
7 years of employment as a software developer
PhD, Applied Statistics - Machine Learning, PhD, Applied Statistics - Machine Learning at Universität Basel, Switzerland
Postdoctoral Research Scientist, Machine Learning, Postdoctoral Research Scientist, Machine Learning at Columbia University in the City of New York
Masters, Artificial Intelligence - Intelligent Robotics, Masters, Artificial Intelligence - Intelligent Robotics at University of Edinburgh, Scotland
Bachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at Cochin University of Science and Technology
Challenge 5: Detect and correct spatial cross-talk
Contributions:1 PR, 10 pushes in 2 years 7 months
spatialdetectcorrect
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Sandhya Prabhakaran - Research Scientist at Moffitt Cancer Center