Rami Alsaber

  1. Home
  2. Academics
  3. Our Faculty
  4. Rami Alsaber
Assistant ProfessorScientific Inquiry
Department of Core Studies
St. John's College of Liberal Arts and SciencesUniversity Core

Prof. Rami Alsaber is an Assistant Professor for Scientific Inquiry in the Department of Core Studies at St. John’s College of Liberal Arts and Sciences. His current work focuses on advancing science literacy and empowering multidisciplinary education in science classroom environments. Additionally, he collaborates in research that focuses on utilizing biomedical informatic tools to analyze Healthcare/Biomedical data and Cognitive Sciences. Prof. Alsaber’s previous research interests include NGS sequencing and Bioinformatic analysis of gene expression, quorum sensing in microbial environments and the factors influencing the trafficking and modulation of ligand-gated channels. He previously taught courses in General Biology, Microbiology, Physiology, Molecular Biology, Biotechnology, Bioinformatics, and Biomaterials at Long Island University, Fordham University, CUNY, and NYU Tandon. 

Courses Taught: 

SCI 1000: Concepts in Biology 

SCI 1000: Concepts in Science 

SCI 1000: DATA Analysis 

[1] C. Schweikert, S. Shimojo, H. Glasser, R. Hendsey, R. Alsaber and D. F. Hsu, "Modeling Prototypical Preference Behavior and Diversity using Rank Score Characteristic Functions," 2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Toronto, ON, Canada, 2022, pp. 203-207. 

[2] C. Schweikert, B. MacKellar, R. Alsaber. 2015, July. Including Genetic Variations in Patients' Clinical Trial Selection Process. Proceedings of the Global Business & Technology Association’s 17th Annual International Conference (GBATA 2015). 17:650-656.  

[3] Zhu J, Alsaber R, Zhao J, Ribeiro-Hurley E, Thornhill WB. 2012, May 17. Characterization of the Kv1.1 I262T and S342I mutations associated with episodic ataxia 1 with distinct phenotypes. Arch Biochem Biophys.  

[4] Alsaber R, Tisher D, Huang KT, Hsu DF. 2009. Simulating an Automated System (SAS) for Merging Medical Vocabularies. ISPAN.; 373-379.  

[5] Alsaber R, Tabone CJ, Kandpal RP. 2006, Jul 19. Predicting candidate genes for human deafness disorders: a bioinformatics approach. BMC Genomics.; 7:180.