Kinetic Monte Carlo of Systems (KMCOS): lattice based kinetic Monte Carlo with a python front-end and Fortran back-end.

MaxEnt is a Matlab toolbox for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.

The Coastal version of the Stochastic Multcloud model

Quantification of risk metrics (VaR, ES, Loss Distribution, Hedging Error) via Monte Carlo simulation of stochastic models (GBM, Heston) with parameter estimation (MLE) on historical data.

Stochastic OZone anlyses

Data, source code and scripts for BIORXIV/2019/643585v3

SIR and SIS Model of an Outbreak

IM61011 - Stochastic Modelling course offered by the Industrial and Systems Engineering Department, IIT Kgp

Data and code for the paper 'Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression'.

Summary for MSE Module Stochastic Modelling

This repository contains all code needed for the stochastic modelling, approximate Bayesian computation (ABC), causal analysis, and all other miscellaneous mathematical and statistical analyses involved in 'Single nucleoid cellular imaging reveals the mechanics of copy number control', by Wolf, Mjeku, et al.

This repository includes all codes that were used to model or optimize models made for p53P and p21 after irradiation damage

New implementation of a well-known stochastic model for carcinogenesis, augmented with competition dynamics and spatial structuring.

The final project for the course "Introduction to Stochastic Modeling" - Autumn 2024

Predator-prey population model with intervention analysis techniques. Completed during third year of my Bachelor's degree (2019).

Conducting Monte Carlo simulation of stochastic models (GBM, Merton Jump Diffusion Model) for the forecasting of stock positions. Serves as a "prelude" to the heston repository.

*Stochastic Modelling of Vector-Borne Diseases with Household Structures* Thesis submitted for the degree of Honours of Mathematical Sciences in Applied Mathematics at The University of Adelaide.

Discrete-Event Simulation of a last-mile drone delivery hub in Accra, Ghana. Built with SimPy to find the minimum fleet (drones + chargers) achieving 95% on-time delivery within 120 minutes. 1,440 experiment runs across 48 fleet configurations with seasonal wind sensitivity analysis.