Preetish Rath is a Senior AI Consultant and PhD in Computer Science specializing in signal processing and machine learning for healthcare, with a decade of experience spanning academia and industry including IBM, Philips, Massachusetts General Hospital, and Tufts University. He develops pragmatic, probabilistic time-series models that match deep-learning performance while handling missing data and reducing false alarms in clinical early-warning systems—work that has been published and is being trialed in a major hospital. Fluent in MATLAB and Python, his background covers speech, audio, image and biosignal processing, data visualization, and end-to-end ML deployment for healthcare clients. At Aberdeen Advisors he translates research-grade models into business impact, enabling hospitals to adopt AI safely and effectively. Notably, his Tufts research integrated a silent-tested deterioration-risk predictor in a Madrid hospital, highlighting both technical rigor and real-world deployment experience.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at Manipal Institute of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Tufts University
Master of Science (M.S.) Electrical and Computer Science, Master of Science (M.S.) Electrical and Computer Science at Boston University
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Preetish Rath - Senior AI Consultant at Aberdeen Advisors