Why Africa needs well–articulated biological data – Jaiyesimi

For the first time, I could understand biology at the small-molecule level. Metabolomics allows you to see, in real time, how an organism responds to food, stress, disease, or its environment. It felt like switching from a blurry black-and-white image to high-definition colour – like the saying, “before, you were blind; now, you can see”.

That moment clarified something for me: Africa doesn't lack intelligence or curiosity — we lack infrastructure. Once the tools are available, African scientists don't just catch up; they innovate. During that phase, and while navigating the Portuguese landscape, I busied myself with learning metabolomics and using it to unravel the bioactive compounds from Brazilian and Nigerian medicinal plants.

But you didn't stop at molecules. You later moved to Georgia Tech, where your work expanded into host–microbe interactions. Why was that important?

Because molecules don't act alone — and neither do organisms. Food, plants, medications, and even humans exist within systems.

At Georgia Tech, working in the Garg Lab, I studied how hosts and their microbes communicate through metabolites. Whether it was in medical contexts or environmental systems, the lesson was the same: nothing works in isolation.

This is where my thinking evolved from components to systems. A drug may fail not because it is ineffective, but because the system it enters is misunderstood. That realisation has profound implications for African and global health, agriculture, and environmental policy.

That systems view connects directly to your current work at Harvard and your interest in the Hologenome Theory. Can you explain how this shapes your broader mission?

The Hologenome Theory suggests that an organism is not just an individual — it constitutes the holobiont, that is the host plus all its associated microbes, functioning as one unit. In other words, we are ecosystems.

At Harvard, in the Extavour Lab, I used metabolomics to study these systems in vivo — how entire biological networks respond to environmental pressures. This work feels like a continuation of a lifelong pursuit: understanding the world more clearly at every level.

And that clarity leads me back home. Africa's challenges — from chronic disease to food insecurity to environmental degradation — cannot be solved in fragments. We need system-level understanding rooted in African biology and African environments. And whatever information we derive from that has practical implications for the world in entirety.

You've spoken publicly about the need for an African Metabolome Database and national leadership in biological data. Why?

Because data is the foundation of modern power. Today, much of Africa's biological data is to say the least, fragmented. That means we do not have a holistic view of what is happening, where we are and how this may be helpful. As a matter of fact, we may end up buying back solutions derived from our own biology.

This is not about exclusion or control. It is about custodianship and leadership. Just as we see roads, power, and telecommunications as national infrastructure, scientific data infrastructure must be treated the same way.

If Nigeria leads in curating African metabolic data — human, plant, and environmental — we position ourselves as contributors to global science, not just consumers. That shift changes everything: healthcare outcomes, agricultural productivity, and economic opportunity.

There's growing interest in what you call “Actionable Intelligence,” and in a platform you've hinted at — an AI-enabled platform for metabolomics. Even before launch, you speak about it with conviction. Why?

Because data without action is just storage. My obsession has always been translation — turning complexity into tools that improve lives.

I envision a future where a Nigerian farmer or doctor doesn't need a PhD to access advanced insights. And that is where the world is headed. There, they have an AI assistant in their pocket, powered by robust metabolic data, offering context-specific guidance. That is Actionable Intelligence.

This AI-enabled platform is not an abstract idea; it is the logical next step once you commit to owning your data and understanding your systems. The future will feel familiar when it arrives — because we prepared for it. It will be like a fortune-teller, which can pry into the future and tell you of things to come.

Alongside this high-level work, you've invested heavily in STEMxAfrica and STEMxClubs, focusing on secondary-school students. Why start so early?

Because systems are sustained by people. Governments are engines, but young people are the fuel.

STEMxAfrica is our human pipeline. We are training students to think critically, use AI responsibly, and solve real problems rooted in their communities. These students are not memorising theory; they are analysing food, water, soil, and health.

This is not just capacity building — it is a humanitarian commitment. When you invest in children, especially at scale, you build something that cannot be easily dismantled. That is why I say my work is driven by love. Science without love becomes extractive. Science with love becomes transformative.

Looking back — from drying samples by the window in Ife to studying living systems at Harvard — how do you interpret your journey now?

I see continuity. Each stage allowed me to see the world more clearly. The constraints at OAU trained my discipline. Brazil gave me molecular vision. Georgia Tech revealed systems. Harvard sharpened integration.

This is not about personal success. It is about responsibility. The fate of entire futures resides in the current second. These current seconds, fleeting as they are, are all we have to shape the future. And it is a choice! If you are privileged with clarity, you must use it to build pathways for others.

My journey is simply a sort of blueprint, written by Olodumare. What matters now is what we build with it — together.