Philips Research North America | Cambridge, MA 11/2020 – Present
SENIOR RESEARCH SCIENTIST, AI & Radiology Informatics (1/2022 – 4/2023)
Supported two of Philips’s largest businesses in shaping new propositions in the integrated diagnostics value stream and making an AI manager reporting integration prototype.
- Transferred technology to collect AI feedback to the $1.3M+ Enterprise Informatics business (Radiology and AI Manager products), helping close the loop of AI feedback from customers with business impact of $33M over 5 years.
- Led a prototype implementation to map AI results from DICOM-SR to FHIR resources ensuring AI adoption in practice.
- Spearheaded project of code development by a global, cross-functional team with 20+ contributors.
- Contributed code to the Medical Open-source Network for AI SDK for deploying AI into clinical practice.
- Implemented real-life AI integration scenarios among 13+ top vendors as part of the RSNA Imaging AI in Practice Demo.
- Codeveloped DICOM SR to FHIR Resource Mapping Implementation Guide that had been requested since 2006.
- Established thought leadership in the medical imaging AI community by co-authoring the 153-page IHE AI Interoperability in Imaging White Paper, which provided a comprehensive map of the needs and challenges of interoperable products.
- Influenced the standards on multimedia and Integrated reporting applications using FHIRcast and worklist prioritization profiles, which are integral to interoperable AI Results integration in radiology.
INNOVATION STRATEGY & INTELLECTUAL PROPERTY PROJECT LEADER (12/2020 – 12/2021)
Authored the Innovation Brief, led the IP Generation project, and cultivated a deep understanding of technological trends through presentations at conferences with a team of 26 and a budget of $900k.
- Initiated and guided the first-of-its-kind IP generation project using AI Manager/Marketplace and Ultrasound, resulting in 16 Invention Disclosures and 5 patent applications, which led to winning the IP Award for 2022.
- Identified areas for further research, leading the Enterprise Clinical Informatics Innovation Brief providing an overview of findings and implications with recommendations for strategy and practice to Philips CTO.
- Authored 11+ international conference publications and spoke in 6+ presentations demonstrating thought leadership and collecting important feedback from industry leaders.
- Initiated and led an onboarding team of 40+ that expanded to cover the entire hub (180+ employees) implementing root cause analysis, following best practices to improve effectiveness, resulting in a satisfaction rate of 100% for new hires.
- Secured speakers and moderated discussions for part of 24 seminars in PD&IGT.
- Led an AI technical interview committee to assess candidate’s skillset and their experience, which yielded better-aligned candidates and more productive employees with 0% turnover.
GE Healthcare | Waukesha, WI
10/2018 – 10/2020
STAFF DATA SCIENTIST - X-ray Business, Imaging
Led data science initiatives within the X-ray business. Supported the first-ever regulatory approval of an on-device AI model, managing multispecialty team globally. Built and deployed top of the line AI models with feedback from out of distribution install-base worldwide.
- Collaborated to develop novel deep learning algorithms including the world's first x-ray device with four embedded AI algorithms generating $1.3M+ annually.
- Created an automated image annotation system completing tasks in one month instead of the projected 31 months.
- Spearheaded team collaboration with European data scientists, producing leaderboard accuracy on CheXpert dataset with 70x less memory, 300x fewer operations, and 5x smaller dataset.
- Executed AI strategy implementation and orchestration, increasing accuracy from 94.7% to 99.5% and speed by 4x to achieve real-time inferencing.
University of Jordan | Amman, Jordan
1/2015 – 9/2018
ASSISTANT PROFESSOR, DIRECTOR OF MACHINE LEARNING RESEARCH LAB
Top university in Jordan with 50k+ students. Collaborated with European partners to win grants for AI research.
- Led a team of 20+ diverse researchers at the Machine Learning Lab and won the Research Excellence Badge.
- Developed deep learning approaches to different recognition solutions earning $10K Microsoft award.
- Prepared research proposals securing $2.3M+ in international and national grants.
- Awarded grants from the European Union to establish new programs in AI with 500+ students per year.
- Led AI-based Drug Design research, co-authoring four related high-quality journal publications with overall 400+ citations.
TeraRecon | Foster City, CA 5/2008 – 9/2014
REGIONAL SALES & MARKETING MANAGER, Middle East and North Africa (MENA)
Established presence and operations in MENA region ground-up. Forged alliances with modality and PACS vendors.
- Developed and implemented creative selling approaches and consultative sales strategies to grow business from one to 30 accounts worth $1.3M in annual revenue.
- Recruited and supervised 6 globally distributed team members of engineering, sales/marketing, and clinical applications.
- Researched User needs and innovated solutions, maintaining a 48-hour average resolution time.
- Cultivated relationships with partners to produce innovative marketing initiatives, saving $550K+ over 5 years.
- Formulated and implemented a solution to the local presence and regulatory issues that saved the company $500K+.
