My research interests revolve around an intermixture of neural control engineering, sustainable health engineering and global health. I am developing a new Center for Global Neurosurgery at Yale University. I am working on identifying the pathogens associated with neonatal sepsis and subsequent postinfectious hydrocephalus in sub-Saharan Africa and Southeast Asia. I use a fusion of genomic microbial surveillance with remote satellite sensing of environmental variables to better understand the geographical and seasonal patterns of such infant infections. This leads to the ability to predict at point of care the most likely pathogens and guide tailored treatment. It also guides public health policy aimed at prevention. I am doing a similar analysis of neural tube defects. This work has evolved into what I call Predictive Personalized Public Health (P3H). I have a vigorous interest in the use of low-field MRI in the developing world, and am involved with design and construction of novel low-field MRI solutions. I am a PI on an ongoing phase III randomized trial of shunt vs endoscopic treatment of postinfectious hydrocephalus in East Africa, and am an investigator on a similar trial in North America (ESTHI). I am also interested in how we can use the new normative brain growth curves that we have recently generated, with evaluating care of children with disease of the brain to optimize brain growth.
Asia, Southeastern; Bacteria; Brain Diseases; Central Nervous System Infections; Meningomyelocele; Neural Tube Defects; Paraguay; Viruses; Africa South of the Sahara; Coinfection; Neonatal Sepsis
Antimicrobial Resistance; Bioinformatics; Clinical Trials; Disease Transmission; Emerging Infectious Diseases; Epidemiology Methods; Genetics, Genomics, Epigenetics; Global Health; Climate Change; Infectious Diseases; Malaria; Maternal & Child Health; Modeling; Parasitology; Viruses; Microbiome; Capacity Building; Neglected Tropical Diseases; Child/Adolescent Health; Mosquito-borne Diseases; Network Analysis; Randomized Trials; Statistical Computing; Trypanosomiasis; Vector-borne Diseases; Perinatal/Prenatal Health; COVID-19