Hands-on training in R programming and computational approaches for analyzing biomedical big data. Covers quantitative biology, genome-wide association studies, DNA/RNA sequencing workflows, and machine learning applications in precision medicine.

Advanced training in machine learning and AI applications for biomedical research, covering supervised learning, neural networks, and practical genomic data analysis. Co-taught with Dr. Richard Feinn at the Frank H. Netter MD School of Medicine.

Examines how modern genomic technologies are transforming the diagnosis, risk assessment, and treatment of human disease. Students engage with real clinical case studies, population-scale sequencing data, and current research literature.

Integration of genetics and neuroscience to understand inherited neurological disorders.

Deep dive into the cellular, molecular, and genetic mechanisms underlying neurodevelopmental and neurodegenerative diseases.

Applied molecular biology techniques and biotechnology applications in medicine and research.

Critical examination of health inequities in clinical and public health settings.

Foundational genetics covering inheritance, molecular mechanisms, and genomic technologies.

Immune system function with hands-on laboratory component.

Comprehensive study of nervous system structure, function, and cellular mechanisms.