Developing a framework using Local Polynomial Regression to recover hidden differential laws from noisy, dynamical systems.
Perform MCMC algorithms to reconstruct evolutionary lineages and assess model sensitivity within complex biological spaces.
Implementing a novel mixture estimator for LOO-CV that ensures finite variance and robust out-of-sample accuracy for Bayesian predictive density.