Growing up in Lagos, Victor Agboli wondered why, during rainy seasons, malaria cases surged across his community, and while some families fell sick repeatedly, others seemed largely unaffected.
‘I noticed things like whether households used mosquito nets, had stagnant water nearby, or disinfected their rooms,’ he recalls. ‘Looking back, those were my first attempts at causal inference. I was connecting patterns in lifestyle to health outcomes without knowing what statistics was.’
That early curiosity set the foundation for a career now rooted in advanced biostatistics, where Agboli, a second-year Ph.D. student at the University of Florida, applies mathematical rigor to solve pressing health problems.
Building foundations across continents
Agboli’s academic path reflects both resilience and ambition. He earned his bachelor’s degree in mathematics and statistics from the University of Lagos, where a strong theoretical training came with the reality of limited data infrastructure.
‘We could prove theorems and derive equations, but often we didn’t have the real-world data to test them,’ he said.
A move to Atlanta for his master’s in mathematics at Georgia State University changed that. There, he gained exposure to large-scale U.S. health databases for the first time, finally seeing how statistical theory could inform public health practice.
‘It was the first time I could directly connect what I had learned in classrooms in Nigeria to real data, cancer registries, vaccination rates, and health surveys. It showed me the power of statistics in shaping decisions,’ he explains.
Working with companies like GSK and Bamboo, a Nigerian fintech startup, gave him firsthand exposure to how data can be harnessed to solve practical problems, from assessing risk in financial portfolios to improving customer experiences.
He also began to see gaps: areas where poor data practices or weak statistical foundations led to inefficiencies, missed opportunities, or even systemic vulnerabilities. Those realisation strengthened his commitment to becoming a practitioner, someone who could advance statistical knowledge while also ensuring its responsible application in industry.
‘I’ve always seen statistics as more than numbers,’ he says. ‘It’s about making sense of complexity, telling stories from data, and ultimately guiding decisions that affect people’s lives.’
Today at the University of Florida, Agboli is pursuing his PhD with a focus on methodological research in biostatistics.
His research explores advanced statistical methods for high-dimensional data, tackling challenges that arise in today’s era of big data and machine learning.
Working at the Malcolm Randall VA Medical Center in Gainesville. His role includes analysing clinical trial data, developing statistical models for studies on post-traumatic stress disorder (PTSD) and sleep disorders, and drafting analysis plans for multimillion-dollar grant proposals.
‘Each stage of my journey shaped me differently, from theory in Lagos to applied data in Atlanta to developing new methods in Florida,’ he reflects. ‘Together, they made me the kind of researcher who values rigor but never loses sight of practical, human impact.’
The human side of data
Agboli’s work at the VA brings him close to one of the most vulnerable populations in the U.S.: veterans living with traumatic brain injuries, PTSD, and chronic sleep disorders.
His role, though statistical, is deeply tied to patient outcomes. ‘Behind every dataset are real people,’ he said. ‘When I analyse data on sleep quality or brain imaging, I remind myself that the numbers represent someone’s parent, child, or neighbor.’
One of his most fulfilling projects has been a clinical trial exploring the use of transcutaneous vagus nerve stimulation (tVNS) as a treatment for veterans struggling with sleep.
‘Sleep might sound basic, but for veterans with PTSD, it’s a daily struggle,’ Agboli said. ‘This non-invasive intervention offers a safer path to rest and recovery. My job was to design and analyse the data so that the results are reliable and meaningful.’
The research, he explains, has the potential to transform veterans’ quality of life. ‘If evidence can prevent wasted funds and save lives, that’s the difference I want to make,’ he said.
Mentorship beyond borders
Beyond research, Agboli is equally passionate about teaching and mentorship. He believes that the future of statistics and data science in Africa depends on creating pathways for young scholars.
‘Nigeria is full of talent,’ he said, ‘but many students don’t have the resources or opportunities to fully explore their potential in mathematics and data-driven fields.’
‘For undergraduates, I use everyday examples, like weather forecasts and the probability of carrying an umbrella. For graduate students, I connect theory directly to health research,’ he said. ‘My goal is for students to stop seeing statistics as just formulas and start seeing them as a way of thinking critically about the world.’
Looking ahead, Agboli hopes to expand his work beyond the U.S. ‘My long-term vision is to bring robust biostatistical methods to developing countries where data systems are still fragile,’ he said.