I am an expert in mechanistic modeling and analysis, particularly as applied to problems in population ecology and epidemiology, with over a decade of experience. I have experience with situations where data is sparse and I can readily consult on assumptions and risks for most types of models. Approaches I have used in the past include differential equations, integral equations, stochastic processes, individual-based models, networks, and combinations of these. I am familiar with techniques for parameter estimation and sensitivity analysis, including Bayesian approaches, and I have worked on multiscale problems, 2D and 3D spatial models, collective motion, compartmental models, and more. I additionally have over ten years of experience with software implementation, simulation, visualization, and analysis of mechanistic models in Python, including multiprocessing, SciPy/NumPy, Cython, PyCUDA, Pandas, NetworkX, Git, and others.