A bioinformatics researcher at the Institute of Tropical Medicine in Antwerp, Dr. Oren Tzfadia recently visited the Center for research in human reproduction and demography (Cerrhud) in Cotonou. During a training workshop on artificial intelligence, he shared insights on his career and vision for AI.
Where did your passion for bioinformatics come from?
I’ve always enjoyed working with computers, even as a child. I’ve also always loved biology. But I realized that I couldn’t do biology hands-on, as I’m not very skilled manually. So, I really wanted to do biology using a computer, and bioinformatics was the perfect choice. During my Ph.D. at New York University, a professor from South Africa on sabbatical, who was sitting next to me, said, “If you don’t want to work with pipettes, maybe you can sit next to me and learn to use computers and databases to solve biological problems.” I loved it from the very first moment. Later, I went to train in his lab in South Africa, which opened up a whole new world for me.
Should researchers be afraid of artificial intelligence?
Absolutely not. I think researchers should embrace AI as another tool in their toolbox. Just like they use PCR machines or pipettes, AI is a tool that can enhance research. It won’t replace us, but it will help us conduct research more efficiently. AI offers researchers capabilities they didn’t have before, such as quickly searching through data, collecting and analyzing information, without even needing to know coding or scripting. Now, every biologist has the answers to their questions right at their fingertips.
What principles should guide the use of AI to minimize risks?
Researchers must use AI responsibly, meaning they shouldn’t take everything AI provides at face value. They should always cross-check with other resources. It’s also essential to be cautious about the data given to AI, especially if it’s ethically sensitive. We need to be aware of the potential risks of disclosing sensitive data and remember that AI can make mistakes or produce biased results. Therefore, it’s essential to work critically with AI.
What will change with this workshop?
First, participants will shed their fear of AI and understand that AI is here to assist them, not replace them. Then, they’ll gain immediate tools to improve their work, whether it’s generating text, gathering data, or reviewing literature. The impact will be immediate, and they’ll be able to apply what they learn right away.
How can AI facilitate research in developing countries?
AI is highly accessible in developing countries because it’s online, so all you need is an internet connection. This allows researchers to apply advanced methods to enhance their research, even in resource-limited settings. AI can help them draft academic papers and publish them in high-impact journals. It can also improve the work of technicians and researchers while developing their skills.
What would you like to share with our readers about this experience ?
I’ve been warmly welcomed here in Benin. This is my first time here, and I hope it won’t be the last. I really appreciate the warm reception and the spirit here. I look forward to the collaboration between Cerrhud and the Institute of Tropical Medicine, which is very important for both sides.