1. Leadership & Strategy:

• Lead and manage the overall direction of the Institute, establishing it as a global leader in AI and healthcare innovation.

• Develop a strategic plan for the Institute’s growth and sustainability, ensuring alignment with the broader goals of the university and healthcare partners.

• Promote the integration of AI into healthcare education, clinical practices, and research programs.

2. Research & Innovation:

• Oversee the development of cutting-edge AI research and technology in areas such as medical imaging, predictive analytics, natural language processing (NLP), personalized medicine, and healthcare robotics.

• Foster a culture of innovation by encouraging interdisciplinary collaboration between researchers in AI, computer science, medicine, and other relevant fields.

• Promote the translation of AI research into clinical applications, healthcare solutions, and products that can be implemented in real-world settings.

• Lead efforts to secure research funding from government grants, industry partnerships, and philanthropic sources.

3. Program & Faculty Development:

• Recruit, mentor, and retain top faculty, researchers, and staff with expertise in AI, data science, and healthcare.

• Support the development and delivery of educational programs, including graduate and postdoctoral training in AI and healthcare.

• Facilitate interdisciplinary collaboration and knowledge exchange among faculty, clinicians, and data scientists.

• Organize workshops, conferences, and symposiums to promote the Institute's work and engage the broader academic and healthcare community.

4. Operational Management:

• Participate in Institute’s budget, including financial planning, resource allocation, and operational sustainability.

• Ensure the institute has the infrastructure, equipment, and resources needed to support cutting-edge research and innovation.

• Manage the administrative and research staff, ensuring the smooth day-to-day operations of the Institute.

• Establish policies and procedures for the ethical development and deployment of AI technologies in healthcare, ensuring compliance with relevant legal and regulatory standards.

5. Outreach & Partnerships:

• Build strong partnerships with healthcare providers, pharmaceutical companies, technology firms, and research institutions to advance the adoption of AI in healthcare.

• Serve as a spokesperson and advocate for AI in healthcare, representing the Institute at national and international conferences, industry events.

• Foster public awareness of AI’s potential in improving healthcare delivery, patient outcomes, and operational efficiency.

6. Ethics & Responsible AI:

• Ensure that the development and use of AI technologies in healthcare adhere to ethical principles and prioritize patient safety and privacy.

• Promote research and discussions on the ethical, legal, and social implications of AI in healthcare, ensuring responsible innovation.

• Develop frameworks for the equitable deployment of AI to reduce healthcare disparities.