Oncoustics AI
Rafay Khan is a Computer Engineering student at the University of Guelph, expected to graduate in June 2026. Currently serving as a Software Developer - Machine Learning Co-op at Oncoustics since May 2025, Rafay assists in developing and enhancing software for various applications, while also supporting the QA team in testing and validating machine learning models. Previously held roles at Oncoustics as a Quality Assurance/Test Co-op and at Linamar Corporation as a Process Engineer-IT Systems Co-op and Student Intern. Educational background includes the International Baccalaureate and a High School Diploma from GCVI.
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Oncoustics AI
Oncoustics is creating and deploying advanced AI solutions for low cost, non-invasive surveillance, diagnostics, and treatment monitoring of diseases with high unmet clinical need. Unlike other players in the space, Oncoustics does not do image recognition. Instead, Oncoustics applies AI to raw ultrasound signals from readily available handheldultrasound devices to rapidly differentiate healthy versus diseased tissues. There's a wealth of information in these raw signals and this approach reveals novel biomarkers that can be aligned with existing standards and categorization systems. Initially targeting liver disease, a $30B global diagnostic market, Oncoustics has filed a Breakthrough Device Designation Request with the FDA for the OnX that detects liver fibrosis and the 510K is underway. Several follow-on liver products are in development. Oncoustics also has clinical data on other organ indications including prostate, kidney, breast and thyroid diseases and cancers.