Ojobo Agbo Eje is a United States-based Nigerian data scientist and artificial intelligence (AI) researcher. In this interview by Kingsley Alumona, he speaks about his contributions to data science, his work in AI-based endeavours, and other related issues.
AT what point did you decide to make a career in data science and its applications?
A single piece of data can change lives. I realised this in my career when I helped an organisation to predict customer churn. That moment made me see that data differently, about solving real-world problems, saving lives, and shaping the future. I have spent part of the last decade using data science and artificial intelligence (AI) to turn raw information into powerful insights that drive real-world impact. Initially, I was running a business intelligence consulting company but became more deeply involved in data science and AI when I saw how powerful AI is in solving real-world problems ─ from predicting trends in healthcare to helping governments make better decisions. This directed my next career steps.
I realised that AI is not just a tool ─ it is shaping industries, policies, and even national security. This led me to work on projects that combine analytics, machine learning, and AI-driven policymaking. Through my research, I have seen how AI can improve decision-making, reduce inefficiencies, and drive innovation in key sectors like healthcare, governance, and economic development.
This passion has taken me beyond research. I have worked with research institutions, policymakers, and industry experts to shape AI governance and its ethical applications. Winning competitive research grants and being invited to speak at international conferences further solidified my commitment to ensuring that AI is used responsibly and effectively.
Data science is a big field covering many aspects like computing, programming, modelling, analytics, among others. Which aspect or area of data science do you specialise in and why?
I specialise in AI modelling, predictive analytics, AI governance, and AI for healthcare. These areas allow me to apply AI not just for technology’s sake, but to solve real problems in society.
For example, I work on AI systems that can analyse data and predict future trends in areas like healthcare and public policy. I help ensure that AI is used ethically in government and healthcare. AI must be transparent, fair, and secure to avoid bias and negative impacts. I also focus on Explainable AI, which means making AI systems more transparent so doctors and patients can trust the technology.
My goal is to ensure AI serves the public good while strengthening global competitiveness in the U.S. and beyond.
Could you give a specific example of your work with AI?
Some of my major projects include the State AI Readiness Index Project. This is a state-funded initiative under the Eagleton Institute of Science and Politics. With this project, we are assessing how prepared the 50 U.S. states are to adopt AI in public service. The work provides insights that help state governments strengthen their AI adoption and policies. This work has been recognized and published by the New Jersey State Policy Lab, as well as at the American Association for the Advancement of Science (AAAS) conference in Boston.
Another project I am researching is on Explainable AI in Healthcare (a $8000 grant-funded research). As AI is used in hospitals to assist with medical decisions, many people worry that AI in healthcare could make unfair or biased decisions, such as misdiagnosing patients. My research reviews the existing use of Explainable AI and ensures that AI models are not just accurate, but also explainable and trustworthy so that doctors and patients understand why an AI system recommends a particular diagnosis or treatment.
My team and I are also working on the Camden Health Equity Data Visualisation Project (a $30,000-funded initiative). The project will help government agencies and health providers improve healthcare access and health outcomes for over 80,000 residents. Our GIS-powered mapping system will also influence state-level funding decisions, ensuring underserved communities receive better medical care. This research will be presented at the Urban Affairs Association Conference in Vancouver, Canada, expanding its impact. We are helping policymakers and health providers see where gaps exist so they can allocate resources more effectively.
As I said, my projects drive data-driven policymaking, ensuring that AI can enhance governance, security, and public well-being.
Finally, I was a keynote speaker at the Rutgers Business School Symposium on AI, where I discussed ethical AI development and risk management.
AI is evolving fast. What are the latest trends in AI, and what should we expect in the future?
Yes, the field is evolving rapidly. Some of the most recent developments we all know include Generative AI and Large Language Models (LLMs) where AI models are leveraged for content creation, process automation, and decision-making. AI is now being used in cybersecurity and national defence. Presently, the U.S. government is investing in AI to detect threats, prevent cyberattacks, and safeguard national security.
In healthcare, AI is used in precision medicine and drug discovery, helping doctors diagnose diseases earlier and find better treatment options. AI-driven analytics is used in other fields for fraud detection, law enforcement, and predictive policymaking like one of my projects.
Soon, AI will be deeply integrated into healthcare, governance, and defence. However, the biggest challenge will be ensuring ethical oversight and developing regulations that keep pace with the advancements.
Many people, especially Americans, are afraid that AI is taking their jobs away. Do you share in this sentiment? How would you advise such people?
AI is not just taking jobs; it is creating the jobs of the future. While some jobs may become automated, AI is unlocking entire industries, from AI ethics and cybersecurity to AI-driven policy advisory roles, some of which do not even require programming skills. However, we must prepare workers for this transition, that is why I actively advise on AI workforce training policies, ensuring that governments and businesses invest in programmes that empower people to thrive in the new economy.
Rather than fearing AI, we should focus on how to integrate it into our processes responsibly. The focus should be on leverage and collaboration.
Where do you see yourself and your career in five years?
In the next five years, I will be at the forefront of global AI governance, working with U.S. government agencies, research institutions, and international bodies to research and craft policies that ensure AI is ethical, secure, and beneficial to society. Also, I will continue to innovate AI-driven solutions for individual and organisational use. My goal is to develop AI solutions that influence both U.S. and international policy decisions. Additionally, I will expand my mentorship, ensuring that the next generation of AI leaders are equipped to build fair, responsible, and impactful AI systems.
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