Jeffrey Scott
AI R&D Leader | Expert in Media Technology, Computer Vision, and Machine Learning | MedTech Innovation
- Role
- Manager, Ai Research at Stryker
- Location
- Oakland, CA, US
- LinkedIn followers
- 500 followers
About Jeffrey Scott
AI and machine learning specialist with expertise in computer vision, machine listening, and media technology. Skilled in developing advanced algorithms for audio, image and video processing, deploying models on the edge and in the cloud. I focus on translating state-of-the-art research into impactful AI-driven solutions.I currently leverage AI to enhance medical imaging applications for pre- intra- and post-operative surgical procedures and optimize data driven clinical decision making. I thrive at the intersection of research and real-world implementation, delivering solutions that drive measurable impact across healthcare and media applications.
Experience
Manager, Ai Research
Dec 2022 — Present
Designed and executed a comprehensive hiring program, providing technical leadership and mentorship to develop a high-performing AI and R&D team- Led a diverse team across all phases of R&D, from proof of concept and feasibility analysis to product development, release, and post-market support- Championed technical excellence, focusing on model evaluation and performance metrics to ensure alignment with product requirements and business objectives- Effectively communicated complex technical concepts to key stakeholders and senior leadership, translating technical insights into strategic decisions- Spearheaded feasibility evaluations for a clinical decision support product suite, contributing to a product line with over $300M in annual revenue- Directed the software development lifecycle, including version control, code reviews, containerization, and deployment of ML models across iOS, Linux, Windows, and macOS platforms using Git, Python, C++, Swift, and C#- Led teams tackling computer vision challenges, including 2D and 3D segmentation, 2D-3D registration, multi-modal foundation models, image classification, regression, and image enhancement for medical imaging modalities like X-ray, CT, MRI, angiograms, fluoroscopy, and endoscopy- Implemented robust experiment designs using statistical methods and Monte Carlo techniques to drive reliable and reproducible outcomes- Guided budgeting and resource allocation efforts, skillfully navigating a complex matrix organization to align resources with strategic goals
Education
Drexel University
PhD, Electrical Engineering
2008 — 2014
Ramapo College of New Jersey
B.S., Physics, Music
2001 — 2006
Drexel University
MS, Electrical Engineering
2008 — 2010
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