Ardalan Naseri, PhD joined the UTHealth Houston School of Biomedical Informatics (SBMI) in May 2022 as an assistant professor.
Prior to his appointment, he worked as a research scientist at SBMI. Dr. Naseri has a broad background in Computer Science, with specific training and expertise in algorithm design, bioinformatics, and computational biology. He holds a PhD degree in Computer Science from the University of Central Florida and obtained his Bachelor's and Master’s degrees in Computer Science from the Technical University of Darmstadt in Germany.
His research area includes the development of computational methods for analyzing large-scale biobank data. He has developed, implemented, and utilized several algorithms and pipelines related to population genetics and genomics. In recent years, he has developed a wide range of tools for solving population genetics problems in large-scale cohorts, such as Identity-by-Descent segment detection, genealogical search, and relatedness inference. Dr. Naseri has also conducted collaborative work in multidisciplinary team settings with biologists working on cutting-edge tools such as CRISPR-based DNA imaging.
“Recent advances in sequencing technology have led to the generation of abundant genetic and genomic data. The availability of large cohorts of genetic data provides a ubiquitous opportunity for a wide range of applications. At the same time, it brings a challenge to efficiently utilize the data. One of our main focuses is to develop efficient and practical algorithms that can handle large data without requiring extensive and costly resources.”