Current Students | Yin Yeng Lee
My long-term research interests involve the development of a comprehensive understanding of endogenous oscillators, such as the circadian clock, in the control of physiological and behavioral processes in mammals. My academic training and research experience to date have provided me with an excellent background in molecular biology, genomics, and bioinformatics.
Before coming to Cincinnati, I was a research assistant in the laboratory of Dr. Axel Hillmer at the Genome Institute of Singapore (GIS). I was part of the team working on elucidating heterogeneity of EGFR mutant lung adenocarcinoma in non-smoking patients. Here, I have built my expertise in developed multiple pipelines to analyze genome-wide data. Our works revealed the complex genomic landscape in Asian EGFR-mutant lung adenocarcinoma, including early dominant driver, high genomic instability, and low background mutation rates.
Over the course of my rotation in the Özbudak lab during my first year of graduate study, I have applied my computational expertise to help in extending the analysis algorithms in calculating segmentation noise. As a graduate student in the Hogenesch lab, I have participated in developing an algorithm to identify the spontaneous mutation allele which leads to an extreme short phenotype in hamster. Also, I am involved in studying cell-level alteration under hypoxia in sleep apnea mouse models using single-cell approaches.
For my PhD thesis, I am planning to work on developing a machine learning model to identify key factors that drive sleep disorders. I would like to define the most prevalent factors correlated to sleep disorders and pinpoint potential genes that drive the key pathways involving sleep disorders.
Publications, Complete List at PubMed