Machine Learning, Artificial Intelligence and Computational Chemistry in Drug Discovery for Cancer and Neurodegenerative Diseases

Research will involve development and application of novel machine learning, computational chemistry and biophysics approaches to gain fundamental understanding of remarkable biological processes and their relation to complex diseases. This knowledge will further be used to design small molecules either to inhibit or to enhance particular biological function facilitating drug discovery for cancer and neurodegenerative diseases (e.g., Alzheimer’s, Parkinson’s, Dementia). To achieve this goal, state-of-the-art computer aided drug discovery techniques will be implemented in collaboration with medicinal chemistry, biochemistry and experimental biophysical research groups (both in academia and in pharmaceutical industry).

Investigating Academic Integrity

Our team conducts education research in the chemistry department. Education research focuses on investigating how we can improve teaching and learning. One of the projects we are working on focuses on student perceptions of academic integrity.

Improving Outcomes for Children with Disabilities by Supporting Speech-Language Pathologists in Schools

Children with disabilities can have difficulty accessing the curriculum and building peer relationships. Frequently, children with disabilities have difficulty communicating and receive services from speech-language pathologists (SLPs). The goal of this project is to provide technical assistance to SLPs and empower their school systems to provide the support needed for the implementation of best practices. We will achieve this goal by:
- Surveying SLPs, administrators, and families to understand the barriers and facilitators when implementing best practices
- Design modules to provide technical assistance to SLPs and school administrators
- Develop and refine outcome measures to test the effectiveness of support systems
- Test the effectiveness of support systems for SLPs