Summary
Pranav Nadigapu is a Research Scientist with a Ph.D. in Computer Science and 14 years of experience building multimodal deep learning systems that fuse neuroimaging, genetics, and behavioral data to drive translational health insights. He leads interdisciplinary projects at the Laureate Institute for Brain Research and has a strong track record from Georgia State University of designing statistically rigorous imaging-genomics models and deploying CNNs, RNNs, and transformer architectures. Early software engineering roles gave him practical full-stack and integration experience—parsing HL7 streams, building .NET/Angular applications, and writing complex SQL—so he bridges research models and production-ready systems. Comfortable with both hypothesis-driven science and engineering constraints, he focuses on interpretable, scalable solutions for cognitive and mental health prediction. Based in Tulsa, he combines deep domain knowledge in neuroscience and genomics with hands-on ML engineering to translate complex biological data into actionable tools.
14 years of coding experience
4 years of employment as a software developer
Masters degree, Computer Science, 3.67, Masters degree, Computer Science, 3.67 at Northern Illinois University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia State University
English, Hindi, Telugu