After obtaining a bachelor's degree in statistics and actuarial science, I transitioned to the field of computer science and biomedical informatics. For my master's thesis, my focus has been on performing quality control and imputation on genomic data. In my doctoral studies, I specialized in the field of computational biology, where I focused on predicting genes and variants to uncover valuable insights into the regulation of gene expression in mitochondrial-nuclear communication.
+After obtaining a bachelor's degree in statistics and actuarial science, I transitioned to the field of computer science and biomedical informatics. For my master's thesis, my focus has been on performing quality control and imputation on genomic data. In my doctoral studies, I specialized in the field of computational biology, where I focused on predicting genes and variants to uncover insights into the regulation of gene expression in mitochondrial-nuclear communication.
Joined the department of computer science and biomedical informatics, where I took focused courses on applied machine learning, ontology engineering, biosensors and digital imaging. My master's thesis focused on identifying biased individuals and SNPs, as well as statistically imputing genotyping data to merge different Illumina genotyping arrays.
+Joined the department of computer science and biomedical informatics, where I took focused courses on applied machine learning, ontology engineering, biosensors and digital imaging. My master's thesis centered around identifying biased individuals and SNPs, statistical imputation and concatenating cohorts from different Illumina genotyping arrays.
Presented recent research at IGES, received valuable feedback, and had meaningful discussions on genetic epidemiology implications.
+Presented up to date research, received valuable feedback, and had meaningful discussions on genetic epidemiology implications.
IGES, Epidemiology, mtDNA, Gene Regulation