Immunological ABM

Calibrating Agent-Based Models for Tumor-Immune Interactions using Spatial Biopsy Data and Multi-Modal Pipelines with AgentTorch Undergraduate Researcher (Guide: Ayush Chopra) - Developed methods to calibrate clinical Agent-Based Models (ABM) directly from biopsies to have a mean accuracy of 77% under the Spatial Agreement Measure (SAM) Metric, minimizing the number of biopsy samples taken. - Applied gradient-based ABMs to diverse realms like morphogenesis, epidemiology, and opinion dynamics. The right image depicts the RDF metric measuring the intial and final grids with cluster size comparisons, hover depicts the grid consisting of tumor and immune cells.