Kamal Mandava
Master's Student in Data Science, University of Central Oklahoma
I build computational models for mechanochemical dynamics in fibrin networks.
My current research, FibriNet, is a mechanochemical simulation framework for fibrin clot degradation that couples nonlinear fiber mechanics (WLC) with stochastic cleavage events (Gillespie). This work was presented at Dynamics Days US 2026 and is supported by the NIH grant 2R15HL148842-02.
Research Trajectory
Next steps for this work:
- Extend simulations to 3D network topology with heterogeneous crosslinking
- Add rate/viscosity effects to study loading-history dependence
- Validate model predictions against available experimental fibrinolysis/clearance measurements
Active Research
FibriNet
NIH grant 2R15HL148842-02 Dynamics Days US 2026 WLC + Gillespie
Mechanochemical simulation framework for fibrin clot degradation coupling WLC mechanics with Gillespie kinetics
Result: clearance time is non-monotonic in applied strain; fastest failure near ε ≈ 0.05.