Landis, Justin
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Bioinformatics, Computational Biology, Virology
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“I am passionate about developing new tools or models for visualizing and analyzing biological data. I am interested in understanding the pathogenesis of cancer-causing viruses through various NGS technologies.”
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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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Huang, Emma
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Bioinformatics, Computational Biology, Genetics
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“I would like to focus on developing statistical methods for modeling the effect of genetic variation among immunologic phenotypes in lung diseases, especially asthma.”
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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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Fisher, Caleb
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Biochemistry, Bioinformatics, Structural Biology
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“Broadly, I have an interest in studying enzymology and structural biology to answer questions related to immune and metabolism diseases such as cancer. I think that advancing our understanding of such diseases requires structure-function studies of large protein families, such as GPCRS, to be driven by bioinformatics paired with fundamental biochemistry. A particular question I’m curious about is how the structure of such enzymes contribute to the big-picture of cellular dynamics? More specifically, how does regulation of enzymes change their structural dynamics and how does this fit into the big-picture phenomena of disease?”
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Almeida, Gabriela
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Bioinformatics, Computational Biology, Evolutionary Biology
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“My main research interest is in evolutionary and computational biology. I am interested in comprehending the evolutionary forces acting upon individuals that impact genetic diversity. The current scientific scenario is prolific due to the availability of large and complex genetic databases. The growing computational methods using statistics and machine learning allow the extraction of relevant information to have a deeper understanding of evolution. I am finalizing my master’s degree in evolutionary biology using computational methods to understand the dynamics of gene duplications.”
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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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Stanley, Natalie
WEBSITE
EMAIL
PUBLICATIONS |
PHD PROGRAM
Bioinformatics & Computational Biology RESEARCH INTEREST
Bioinformatics, Computational Biology, Immunology, Medical Imaging, Vaccine Development
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We are a computational biology lab jointly located between the department of computer science and the computational medicine program. We develop new methods for automated, efficient, and unbiased analysis of immune profiling data, such as, flow cytometry, mass cytometry, and imaging mass cytometry. Our work specifically seeks to link particular immune cell-types and their functional responses to clinical or experimental phenotypes. Application areas of interest include, vaccine development, T-cell differentiation and designing more effective immunotherapies, neurodegenerative diseases, sexually transmitted diseases, and pregnancy. To design scalable and automated tools for these data, we develop and apply new methods using machine learning and graph signal processing.
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