Rainier Mallol is a 25-year-old from the Dominican Republic. He is the co-founder and President of AIME, an epidemiology company that has developed a tool to predict major disease outbreaks by using artificial intelligence, epidemiological expertise and data analytics.  

Every year, 2.5 billion people are at risk of catching Dengue fever and 400 million of them actually do. “Growing up in the Dominican Republic, the number one health concern we think about is Dengue,” reveals Rainier. “My mother and my brother have both had it.” Struck by this, Rainier - who is a computer engineer by training - was determined to find a solution when he co-founded AIME (Artificial Intelligence in Medical Epidemics). By using epidemiology, big data analytics and artificial intelligence, AIME has developed a tool to predict the time and location of infectious disease outbreaks - in real time. “We’re an epidemiology company first, and a technology company second.” The platform currently functions at 87% accuracy, and can be used to provide valuable information to public health officials, saving precious time and ultimately lives. To date, successful pilot projects have been undertaken in Malaysia, Brazil and the Philippines. Next, Rainier and his team are looking at how they can apply the model to the spread of HIV, Tuberculosis, Malaria, and other neglected tropical diseases, in support of Sustainable Development Goal 3. “We’re trying to shift epidemiology to be more proactive, and with new technology that’s increasingly possible.”

Read Rainier's blog Why Data is the New Oil