Summary
Altansuren Tumurbaatar is a multidisciplinary researcher and software engineer with 11 years of experience spanning mathematics, computer science, statistics, and applied ML. Currently a postdoc at Emory, he develops advanced MRI techniques and leverages graph neural networks and longitudinal functional brain network analysis to detect asymptomatic Alzheimer’s disease and discover MRI-based biomarkers. His prior work blends network science, inverse percolation centrality, and LLM/GNN pipelines to uncover clinical pathways and risk factors from large electronic health datasets, yielding multiple manuscripts in preparation. He pairs deep academic training (PhD in Mathematics, MS in Computer Science) with hands-on systems work—from OpenMP runtime debugging at Argonne to deploying mobile CNN apps at PNNL—bringing both theoretical rigor and production-oriented engineering to translational healthcare problems.
11 years of coding experience
3 years of employment as a software developer
Major in Software Engineering, Major in Software Engineering at Mongolian University of Science and Technology
Savitribai Phule Pune University
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Washington State University
Mongolian, English