Khaled Younis

• Well-rounded and versatile machine learning and AI leader with deep expertise leading growth initiatives across multinational corporations in healthcare. Known for Pioneering AI introduction into clinical practice and launching a startup that produced an AI system that detects breast cancer installed in 4K+ sites, collaborating to develop the world's first x-ray device with AI generating $1.3M+ yearly, and integrating different AI models in clinical practice via interoperability standards. 
• Passionate about enabling the organization to achieve success by exploiting the power of responsible AI through innovation. 
• Reputation for productive collaboration with global teams and building consensus amongst stakeholders with diverse interests. 
• Capable of bridging the DICOM and HL7/FHIR standards to integrate AI in radiology and hospital systems. 
• Skilled in writing production code and research proposals resulting in 60+ granted patents/applications and publications.
• Engineer of innovative and cost-saving solutions that drive business growth in a fast-paced, complex environment. 
• Hands-on entrepreneur with strong leadership experience that builds diverse and high performing teams. 
• Skill set that combines software development research, product development, and leadership in healthcare. 

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+.

Doctor of Philosophy (Ph.D.), Computer Engineering, Machine Learning, University of Dayton, OH, Object Recognition in Images.

Master of Science (MS), Electrical Engineering, Air Force Institute of Technology, OH, Distinguished Graduate.

Bachelor of Science (BS), Electrical Engineering, Mu'tah University, Amman, Jordan, Top Graduate.