Siddhartha Srivastava

Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity

Analytic Error Analysis of the Partial Derivatives Cross-Section Model—I: Derivation

Pattern formation in dense populations studied by inference of nonlinear diffusion‐reaction mechanisms

Bandgap optimization in combinatorial graphs with tailored ground states: application in quantum annealing

FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning--A Physics-Constrained Approach to Markov Decision Processes

Partial differential equation-based inference of migration and proliferation mechanisms in cancer cell populations

Oscillatory ERK Signaling and Morphology Determine Heterogeneity of Breast Cancer Cell Chemotaxis via MEK-ERK and p38-MAPK Signaling Pathways

Numerical analysis of non-local calculus on finite weighted graphs, with application to reduced-order modeling of dynamical systems