Assoc. Prof. Dr. Yuriy Gusev | AI in Healthcare | Best Use of Data in Healthcare Award

Director of Health Informatics and Data Science Program at Georgetown University, United States

Yuriy Gusev is an esteemed Associate Professor of Bioinformatics at Georgetown University Medical Center’s Innovation Center for Biomedical Informatics (ICBI) and Department of Oncology. He is recognized for his extensive expertise in computational biology, bioinformatics, and systems biology, with a particular focus on cancer research. Dr. Gusev has dedicated his career to bioinformatics, computational modeling, and the development of innovative bioinformatics tools and methodologies. He also plays a leading role in the Health Informatics and Data Science graduate program, and co-directs the Biostatistics and Bioinformatics Shared Resource at the Lombardi Cancer Center. Throughout his career, Dr. Gusev has contributed significantly to multi-institutional cancer research efforts, particularly through large-scale studies, including the Georgetown Database of Cancer (G-DOC), and various NIH-funded programs.

Profile

Scopus

Education

Dr. Gusev’s academic journey began with a Master of Science in Applied Mathematics from State University of St. Petersburg in Russia. He later earned his Ph.D. in Computational Biology from the Central Research Institute of Roentgenology & Radiology in St. Petersburg, Russia. Dr. Gusev further honed his expertise with a postdoctoral position at the Waksman Institute, Rutgers University, where he focused on Computational Modeling in Cancer Research. These experiences laid the foundation for his innovative approach to bioinformatics and cancer research.

Experience

Dr. Gusev’s professional journey spans over three decades, with pivotal positions at several renowned institutions. After his postdoctoral work at Rutgers, he held various roles, including faculty research associate at Johns Hopkins University, senior research scientist at Molecular Staging Inc., and assistant professor at the University of Oklahoma Health Sciences Center. In 2009, he joined Georgetown University as an Associate Professor. Alongside his academic appointments, Dr. Gusev has directed numerous research projects and collaborated extensively in multi-disciplinary research programs across cancer genomics, bioinformatics, and computational biology.

Research Interests

Dr. Gusev’s research interests lie at the intersection of computational biology, bioinformatics, and cancer research. His primary focus includes the study of tumor heterogeneity, chromosomal instability, microRNA, and long-noncoding RNA regulation in cancer. He is particularly invested in the application of computational models and bioinformatics methods to analyze large-scale genomic and transcriptomic data. Dr. Gusev is also passionate about integrating molecular, imaging, and clinical data to advance personalized medicine and precision oncology. His work involves high-throughput data analysis, machine learning techniques for biomarker discovery, and the development of cloud-based platforms to streamline cancer research workflows.

Awards

Dr. Gusev has been recognized with numerous accolades throughout his career. Notable awards include the Charles and Johanna Bush Postdoctoral Fellowship, NSF travel awards for his work in tumor heterogeneity and mathematical population dynamics, and the Executive Leadership Award from the Mid-South Computational Biology and Bioinformatics Society. His contributions to computational cancer research were further acknowledged with the 2008 Executive Leadership Award, and his research impact continues to be recognized by various scientific bodies.

Publications

Dr. Gusev has authored or co-authored numerous influential publications. His research in tumor heterogeneity, chromosomal instability, and microRNA profiling has resulted in multiple highly cited papers. Some key publications include:

Axelrod DE, Gusev Y, Kuczek T. “Persistence of cell cycle times over many generations as determined by heritability of colony sizes of ras oncogene-transformed and non-transformed cells.” Cell Proliferation, 1993, 26(3), 235-249.

Gusev Y, Kagansky V, Dooley WC. “Long-term dynamics of chromosomal instability in cancer: a transition probability model.” Mathematical and Computer Modelling, 2001, 33(12), 1253-1273.

Gusev Y, Bhuvaneshwar K, Song L, Zenklusen JC, Fine H, Madhavan S. “The REMBRANDT study, a large collection of genomic data from brain cancer patients.” Nature Scientific Data, 2018; 5:180158.

Bhuvaneshwar K, Belouali A, Singh V, et al. “G-DOC Plus – an integrative bioinformatics platform for precision medicine.” BMC Bioinformatics, 2016; 17(1):193.

Lei Song, Krithika Bhuvaneshwar, Yue Wang, et al. “CINdex: a bioconductor package for analysis of chromosome instability in DNA copy number data.” Cancer Informatics, 2017, Volume 16, PMID: 29343938.

His works have been cited extensively, contributing to advances in cancer bioinformatics, precision oncology, and the study of molecular biomarkers in cancer.

Conclusion

Dr. Yuriy Gusev has made significant contributions to the field of computational biology and bioinformatics, particularly in cancer research. His work has greatly advanced the understanding of tumor heterogeneity, chromosomal instability, and non-coding RNA regulation in cancer. As an educator, researcher, and leader, he continues to influence the development of bioinformatics tools and platforms that facilitate precision medicine. Dr. Gusev’s expertise in computational modeling, genomic data analysis, and multi-omics integration positions him as a pivotal figure in cancer research and bioinformatics. His ongoing efforts to apply innovative computational approaches to clinical oncology will undoubtedly lead to further breakthroughs in cancer treatment and personalized therapies.