Summary
Kathan Vyas is a PhD candidate and graduate research assistant at Texas A&M with eight years of experience building clinically deployable AI and computer vision systems for healthcare. His work spans academic research and industry collaborations—ranging from heart murmur classification and pacemaker risk models at Edwards Lifesciences to AI research roles at Philips and motion-capture analytics for Biogen—demonstrating a consistent focus on multimodal, clinically relevant ML. He combines deep learning, signal and pose analysis, and automation pipelines to turn noisy clinical data into actionable models clinicians can trust. Comfortable bridging research and product, he has founded and led a startup and continues to accept collaborations to implement AI in real-world settings. An often-overlooked strength is his breadth across academia, medical device industry, and startup product engineering, enabling practical solutions that scale from prototypes to clinical workflows.
8 years of coding experience
6 years of employment as a software developer
HSC Primary and Secondary education, HSC Primary and Secondary education at Bright School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Texas A&M University
Masters Electrical and Computer Engineering (Machine Leanring and Computer Vision) (MIT - PHILIPS Pathway), Masters Electrical and Computer Engineering (Machine Leanring and Computer Vision) (MIT - PHILIPS Pathway) at Northeastern University
Bachelor of Engineering (BE) Information Technology, Bachelor of Engineering (BE) Information Technology at Parul University
English, Hindi, Gujarati, Spanish, French