Arvis Sulovari

Second Year Graduate Student


Profile

Born and raised in Albania, I moved to the UK for two years before coming to the United States in 2006 to pursue my college education.
After four years at Dartmouth College, I received my BA in Biological Sciences with a focus on Computational Genetics. Soon after college, I started working in the lab of Doctor Jason Moore for two years where I was immersed further into computational genetics and cancer research. I wanted more hands-on experience with genetics and molecular biology as well as to apply bioinformatics to biological problems. I chose the CMB graduate program at UVM because of its uniquely vibrant and collaborative environment composed of inspiring people with a genuine passion for science.

Research Description

Research in our laboratory aims to understand the genetic basis of genomic variations and their roles in the etiologies of complex human diseases, particularly mental disorders and brain diseases (e.g. substance use disorders), using the latest high-throughput genomic platforms (e.g. microarrays and next-generation sequencing) and advanced computational tools, followed by functional validations of identified variants. Our studies will provide better understanding of the disease mechanisms towards novel development of early diagnosis, disease prediction, and personalized treatment.

Selected Publications

Li, D., Sulovari, A., Cheng, C., Zhao, H., Kranzler, H.R.,Gelernter, J. Association of gamma-aminobutyric acid A receptor alpha2 gene (GABRA2) with alcohol use disorder. Neuropsychopharmacology Nov 2013; 39: 907-918

Sulovari, A. , Kiralis, J., Moore, J.H., Optimal use of biological expert knowledge from literature mining in ant colony optimization for analysis of epistasis in human disease. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 2013; LNCS 7833:129-140

Moore, J.H., Hill, D., Sulovari, A., Kidd, L. Genetic analysis of prostate cancer using computational evolution, Pareto-optimization and post-processing Genetic Programming Theory and Practice X 2013; 87-101

All Sulovari publications

Selected Awards