This workshop will synergize with the MSU Superfund program and the Environmental and Integrative Toxicological Sciences Training Program. This collaborative workshop will expand the interdisciplinary nature of the training students receive in both programs and increase the breadth of the students' networks
The workshop will provide students with an immersive learning experience applying computational and modeling techniques to tackle common problems in pharmacology and toxicology. They will gain foundational skills in programming languages R and Python, as well as the use of high-performance computing for big data while working with real data. Through hands-on exercises, trainees will identify molecular signatures from datasets in public repositories and develop and apply molecular models of chemical and drug effects. These activities will equip students with the skills and knowledge to leverage computational techniques in their research activities.