Dr. Philip de Melo is a distinguished data scientist in public health and healthcare informatics. He holds a Ph.D. in biology, informatics, and computer science. He has previously served as a faculty member at Columbia University and Georgia Tech and as a UNESCO professor in Latin American countries. His research interests encompass advanced methods in applied mathematics, optimization theory, signal data processing, artificial intelligence, machine learning, big data, business intelligence, automated decision management, and data warehousing. Dr. de Melo has authored and co-authored over 100 peer-reviewed journal papers, five books, and two patents. He has also led research projects funded by the Office of Naval Research (ONR), the Air Force Office of Scientific Research (AFOSR), the National Science Foundation (NSF), the U.S. Department of Agriculture (USDA), and the Office of the National Coordinator for Health Information Technology (ONC). He served as the PI for Poverty Related Disease Informatics and PHIT workforce development programs.
Big Data Analytics and Real-time streaming.
Dr. de Melo is viewed as a pioneer in big data analytics applied to public health data. He has developed a new algorithm that allows real-time data integration and preprocessing (including visualization) in a built-in pipeline. After being integrated and preprocess the data enters the machine learning module that extract information in real time and store it in data lakes to be used by public health officials to optimize their decision making.
PM-Gen AI
Dr. de Melo has developed a new generative AI algorithm called Principal Model Generative AI. It is well-know that Generative AI revolutionized a number of industries with new content (text, images, videos) generation. PM-Gen AI is capable to generate new data taken from EHR (Electronic Health Records) or other data repository to largely improve the accuracy of the obtained results.
Book “Public Health Informatics and Technology”
Dr. de Melo contributed to the field through publications such as “Public Health Informatics and Technology,” which offers hands-on training with Python coding and demonstrates the power of machine learning and artificial intelligence in solving complex problems efficiently. Amazon
Invited lectures
Dr. de Melo gave invited lectures on public health informatics in a number of universities and research organizations in the US and abroad including Bowie State University, UCLA, Harvard University, and the London School of Economics. He also developed a course on nursing informatics, Python programming, Advanced machine learning and Artificial intelligence in healthcare. Hos lectures and hands-on training material can be found in the online platform phitusa.com. In 2024, over 180 students including working professionals have taken the online training course including the research Capstone projects.