Teaching

TOX 480/580: Computational Toxicology and Risk Assessment

This course provides students with an in-depth understanding of the current computational toxicology paradigm for chemical risk and drug safety assessment. Students learn about novel technologies in computational chemistry, molecular biology and systems biology used to develop methods for toxicological risk assessment, including approaches for chemical prioritization for screening and testing, predictive models for high-throughput hazard identification and utilization of “big data” to determine chemical mechanisms of action and toxicity pathways. Students will apply these approaches to specific case studies in toxicology.

TOX 699: Bioinformatics and Statistics

This course, which is offered biannually in collaboration with members of the Superfund Research Center Biostatistics and Modeling Core, provides students with lectures on toxicological study design, statistics, omics data processing and bioinformatics analysis matched with hands-on computer sessions in which students have the opportunity to learn methods, tools and software for analyzing example datasets. Students have the ability to follow-up with instructors outside of class as they apply the concepts and methods to their own data for their thesis research.

TOX 599/699: Integrative Environmental and Molecular Toxicology

In collaboration with EMT faculty, I develop curriculum for the jointly taught Integrative Environmental and Molecular Toxicology course, which involves a combination of invited speakers, group discussions and student-led activities to better convey interdisciplinary concepts. Past topics include:

Publicly available databases and research tools for computational toxicology (Fall 2016)

Diversity in S.T.E.M. (Spring 2018)