Wolujewicz Lab Overview
Our research integrates genomic and multi-omic data with artificial intelligence and machine learning to elucidate the molecular and genetic underpinnings of neurological disorders and vector-borne diseases. We apply systems biology and computational genomics approaches to investigate neural tube defects and complex neurogenetic conditions, including multiple sclerosis, autism spectrum disorder, and schizophrenia. In parallel, we leverage long-read metagenomic sequencing to advance regional surveillance of tick-borne pathogens and improve public health monitoring. Collectively, our group develops innovative computational methods and high-throughput sequencing strategies to identify disease biomarkers, uncover pathogenic mechanisms, and accelerate precision medicine applications in neuroscience and public health.
Neural Tube
Defects
Employing systems biology and integrative genomics approaches to advance our understanding of structural birth defects affecting the developing brain and spinal cord, with a focus on elucidating molecular mechanisms and identifying novel therapeutic targets.
Read MoreNeurogenetic Disorders
Investigating the multi-omic signatures of complex neurogenetic disorders including multiple sclerosis, autism spectrum disorder, and schizophrenia through advanced computational approaches and high-throughput genomic technologies to identify disease biomarkers and pathogenic mechanisms.
Read MorePublic Health Metagenomics
Leveraging advances in metagenomics and high-throughput sequencing to improve public and population health outcomes through enhanced surveillance and characterization of vector-borne pathogens, enabling precision public health interventions.
Read MoreResearch Affiliations
