Redefining Return on Investment in Innovation

A highlight from Ep 039 with Dr. Nassir Mokarram

I view ROI a little differently when it comes to early-stage innovation.

At Biolocity, our goal isn’t just about funding,it’s about education. 

If our teams learn how to embrace pivots, design killer experiments, and build the mindset for long-term success, then we’ve already made a powerful investment in their future.

Full Episode: https://youtu.be/ex1hDKRPrxg?si=E-ncg6qGAAWM194x

Key Topics:

• Brain Cancer Breakthroughs: How a revolutionary device guides tumors out of the brain to enable continuous treatment and monitoring.
• Translational Science: What it really takes to move medical research from Nature publications to human clinical trials.
• University Innovation Models: How academia can evolve to reward scientists for commercialization, not just publication.
• Entrepreneurship in Academia: Why not every scientist should be a CEO—and how to build the right team for success.
• Intellectual Property & Funding: Why IP protection is critical for attracting investors and translating discoveries to market.
• AI in Healthcare: How artificial intelligence could cut costs, accelerate trials, and reshape the biotech landscape.
• The Future of Higher Education: Will universities survive the rise of ChatGPT, TikTok learning, and problem-based education?
• Leadership vs. Management: The key traits that separate visionary leaders from effective managers.
• Diversity, Inclusion & Innovation: Why different worldviews and experiences make for stronger, more creative teams.
• Building Atlanta’s Innovation Ecosystem: Why Georgia Tech, Emory, and the South are the next frontier for biotech and venture growth.

Questions Answered:

How can universities reward innovation and entrepreneurship? How can AI lower the cost of drug and device development? Why is IP protection essential for healthcare startups? How can academia and industry work together more effectively? What can Atlanta learn from Silicon Valley’s startup evolution? How do we train the next generation of entrepreneurial scientists? What does the future of higher education look like in the AI era?