There’s a paradox in healthcare. The people closest to the science move at breathtaking speed. But outcomes still feel decades behind.

Breakthroughs are happening faster than ever. But the path from discovery to delivery is still governed by systems designed for a different era, misaligned incentives, and outdated infrastructure. Progress in the lab doesn’t yet translate into progress in life.

I come at this from the outside in. I’ve sat in many corners of the system, seeing that translation problem: helping launch rare- and common-disease therapies, redefining commercial strategy, and accelerating R&D for top global pharmas at McKinsey; scouting early-stage biotech and healthtech innovation; and supporting founders building local healthcare solutions in places like Bangladesh. I’ve written on how infrastructure like decentralized identity could reduce waste and speed access to care across the U.S., always with one test in mind: does this make a difference for patients soon enough to matter?

Seeing healthcare from these angles, i.e., not inside the lab, but where breakthroughs must fight to become real, made it impossible to ignore how much innovation gets stranded before it ever reaches a patient; how much speed is lost after discovery.

Now I’m pursuing my MPH in Health Management at Harvard, focusing on how strategy, policy, and capital can compress the path from idea to impact. I co-founded the Harvard AI x Blockchain Club not to worship the next buzzword, but to ask why — if these technologies are so revolutionary — patients still feel none of the revolution.

‍Healthcare doesn’t just need innovation. It needs acceleration.

‍I call it healthcare at the speed of software; not because healthcare should behave like an app, but because the distance between discovery and real-world impact has to shrink. I bridge scientists, operators, and investors so that when the next breakthrough arrives, the system is ready to move with it.

Because somewhere, a patient is waiting.

And the system shouldn’t make them wait longer than the science demands.