YC

Yap Chung

Yap Chung


AI Research Scientist
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Professional Overview


Yap Chung is an experienced AI Research Scientist with a strong background in developing innovative healthcare solutions through the application of advanced machine learning and deep learning techniques. With a keen focus on improving patient outcomes and operational efficiencies, Yap leverages his expertise in data science and artificial intelligence to drive impactful research and deliver cutting-edge AI-powered technologies.

Experience Summary



Current Role


AI Research Scientist, Qmed Asia (2024-02-01 to Present)
  • Spearheading the development of next-generation AI-powered diagnostic and treatment recommendation systems for Qmed Asia's healthcare solutions

  • Designing and implementing robust deep learning models for medical image analysis, disease prediction, and personalized treatment planning

  • Collaborating cross-functionally with product, engineering, and clinical teams to ensure the seamless integration of AI capabilities into Qmed Asia's suite of healthcare products

  • Driving continuous improvement and innovation in Qmed Asia's AI research and development initiatives


Career Progression


Data Scientist and AI Research Specialist, QueueMed Asia HealthTech Sdn Bhd (2023-01-01 to 2024-01-01)
  • Developed and deployed AI-powered patient flow management and resource optimization systems, resulting in a 25% reduction in patient wait times and a 20% increase in clinic throughput

  • Implemented machine learning models for predictive disease modeling, enabling early intervention and improved patient outcomes

  • Collaborated with medical experts to incorporate clinical guidelines and best practices into AI-driven decision support systems


Academic Background


Yap Chung holds a Master of Science in Computer Science with a specialization in Artificial Intelligence from the University of Malaya. He graduated with Distinction and was recognized for his outstanding research contributions in the field of medical AI.

Areas of Expertise


  • Advanced machine learning and deep learning techniques

  • Medical image analysis and computer-aided diagnosis

  • Predictive modeling and decision support systems for healthcare

  • AI-powered patient flow management and resource optimization

  • Cross-functional collaboration with multidisciplinary teams


Professional Impact


  • Spearheaded the development of an AI-powered diagnostic system that achieved a 95% accuracy rate in the early detection of diabetic retinopathy, leading to improved patient outcomes and reduced disease progression

  • Designed and implemented a deep learning-based treatment recommendation algorithm that enabled personalized care plans, resulting in a 30% increase in treatment adherence and a 15% reduction in hospital readmissions

  • Led the implementation of an AI-driven patient flow management system, which resulted in a 25% reduction in patient wait times and a 20% increase in clinic throughput


Conclusion


Yap Chung is a versatile and innovative AI Research Scientist with a proven track record of delivering impactful solutions in the healthcare industry. His expertise in leveraging advanced AI techniques, combined with his strong understanding of clinical workflows and patient needs, positions him as a valuable asset in driving the continued advancement of AI-powered healthcare technologies.