Our group uses computational techniques (i.e. mathematical modeling, PBPK modeling, systematic review and meta-analysis) to solve toxicological problems. An example of our research is, mixtures and their effects on lung cancer development, particularly these 3 prominent carcinogens: 1) smoking, 2) asbestos and 3) radon. In addition, we use a PBPK modeling technique as a computational tool in assessing adverse health outcomes from a few environmental contaminants. Results from our research efforts can be useful for risk assessment processes and policy changes. Our research also involves genetic factors influencing adverse drug reactions and pharmacokinetic modeling of some psychoactive agents [e.g. tetrahydrocannabinol, cannabidiol and mitragynine) found in cannabis and kratom.