Kenney, Grace
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Bioinformatics, Genomics
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“I am interested in the application and development of bioinformatic tools for high-throughput genomic data analysis to answer questions in functional genomics. I am particularly interested in multi-omic data integration to understand epigenomic and transcriptomic mechanisms responsible for cell fate decisions. I enjoy taking an interdisciplinary approach to my projects, working in both the wet and dry lab when possible.”
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Klein, Emma
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Cancer Biology, Computational Biology, Genomics
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“I am most interested in computational biology projects! I aim to combine wet and dry lab, as I would love to be involved in both. Although my past experiences center around cancer genomics, I am open to completely new research areas.”
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Armstrong, Emma
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Cancer Biology, Genomics, Translational Medicine
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“I would like to study cancer biology in the translational setting. I am interested in cancer migration and metastasis as well as genomic instability and the tumor microenvironment. In my research I would like to incorporate computational methods as well.”
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Kavalipati, Archishma
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Bioinformatics, Computational Biology, Genomics
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“My primary interest is understanding the functions of intronic DNA sequences and noncoding RNA. I’m interested in contributing to the development of methods and algorithms to uncover these functions with respect to their role in human disease. Specific areas of interest include cancer development and women’s health.”
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Luu, Anh
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Cardiovascular Biology, Genomics, Pharmacology
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“I am broadly interested in the genetic and genomic mechanisms behind disease development and drug response. Disease states of interest include cardiovascular disorders and tumorigenesis.”
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McInerney, Katelyn
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Bioinformatics, Genomics, Systems Biology
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“I am most interested in what drives variation in human complex traits and diseases. For me, this broadly includes statistical genetics approaches to uncover the environmental, genetic, and gene x environment interactions that contribute to the variability in a disease or trait. I am interested in genomics, statistical, and multi-omics methodologies to both identify the source of this variation as well as how it functions. “
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Kyong-Shin, Ronald
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Bioinformatics, Computational Biology, Genomics
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“I would like to study any topics related to genetic diversity, genetic population structure, drug resistance mechanisms, evolutionary changes mechanisms, host-pathogen immunological interactions, detection of evolutionary pathway in the emergence of drug resistant variants, detection of new biomarkers for infectious diseases, statistic modelling, computational software building for bioinformatics. “
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Nenad, Will
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Bioinformatics, Drug Discovery, Genomics
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“I’m very interested in pursuing computer aided drug discovery. I would like to work on a project that has to do with prediction of molecular targets or drug interactions using computational tools. Or I would also like to use genomics to get a better understanding of diseases to eventually to apply to drug discovery.”
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Hu, Yunan
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Genomics, Molecular Biology, Organismal Biology
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“Microbiology, especially the gut microbiome regulated by nutrients and response to the environment or stress. It could be the cellular mechanisms or the clinical applications.”
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Johri, Parul
WEBSITE
EMAIL
PUBLICATIONS |
PHD PROGRAM
Bioinformatics & Computational Biology RESEARCH INTEREST
Computational Biology, Evolutionary Biology, Genomics
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Our research interests broadly span population genetics, statistical inference, and evolutionary genomics. We are interested in how evolutionary processes like changes in population size, recombination, mutation, selection and factors such as genome architecture shape patterns of genomic variation. Work in the lab involves employing computational and theoretical approaches, statistical method development, or using an empirical approach to perform evolutionary inference and ask fundamental questions in population genetics.
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