Prof Dinesh Visva Gunasekeran
Clinician Scientist & Health Technology Leader
Position: Data Science and Technology, MOH Office for Healthcare Transformation
Specialization: Digital Health, Clinical AI Implementation, Health Technology Innovation
Affiliation: Ministry of Health Office for Healthcare Transformation
Biography
Prof Dinesh Visva Gunasekeran is a Clinician Scientist and Health Technology leader with over 10 years' experience leading digital transformation in healthcare across government/public sector, private healthcare, private equity, and venture-backed environments.
He completed a PhD in clinical AI implementation with over 70 peer-reviewed publications, and built 2 digital health start-ups both successfully exited by acquisition (Doctorbell and AskDr).
Key Research Areas
- Clinical AI implementation
- Digital health transformation
- Health technology innovation
- Software engineering for digital health
- Clinical evaluation methodologies
- Digital healthcare services scaling
Leadership Experience
Prof Gunasekeran is an experienced matrix leader of software engineering (SWE) teams for digital health and clinical AI solutions, leading product road mapping, clinical evaluation, and growth strategy for digitally enabled healthcare services.
His proven track record includes raising >USD$10M in funding from research grants and private investments for digital health programs, navigating Software-as-a-Medical Device (SaMD) regulatory requirements, and scaling up national health technology programs.
Entrepreneurial Achievements
- Founded and built 2 digital health start-ups
- Both start-ups successfully exited by acquisition
- Doctorbell - Digital health innovation platform
- AskDr - AI-powered healthcare consultation service
Funding & Investment
- Raised over USD$10M in funding
- Secured research grants for digital health programs
- Attracted private investment for health technology ventures
- Successfully managed venture capital relationships
Regulatory & Compliance Expertise
Prof Gunasekeran has extensive experience navigating Software-as-a-Medical Device (SaMD) regulatory requirements, ensuring compliance with healthcare technology standards while maintaining innovation and rapid development cycles.
Academic Contributions
- Over 70 peer-reviewed publications
- PhD in clinical AI implementation
- Research focus on practical AI applications in healthcare
- Contributions to digital health evaluation methodologies