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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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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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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Winfield, Brittanie
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Computational Biology, Genetics
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“I am interested in studying at how life experiences and habits can influence diseases (mental health disorders, metabolism, cardiovascular health, etc. – not cancer) through epigenetic modifications. I hope to be able to do this research through a computational science and bioinformatics lens and to have access to human cohort data.”
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Bridges, Kaitlin
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Biochemistry, Computational Biology, Molecular Biology
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“I am interested in a Biochemistry and molecular biology-focused research group, mostly focusing on RNA. Interested in research that will require performing both wet-lab tasks as well as some computational analysis. Highly interested in a Biochemistry PhD. with a BCB certificate.”
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Oguche, Solomon
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Biophysics, Computational Biology, Structural Biology
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“I am interested in understanding the underlying principles of protein engineering and design (PED). My goal is to utilize computational and experimental tools with the understanding of PED principles in developing novel protein-based therapeutics against human diseases.”
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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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Peterson, Sara
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Computational Biology
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“I am primarily interested in computational oncology and bridging the gap between experimental and computational approaches. More specifically I am interested in opportunities to study cancer genomics to elucidate the mechanisms of disease in the human body through rigorous experimentation and the use of large data sets/high performance computing.”
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El Merhebi, Omar
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Computational Biology, Molecular Medicine, Translational Medicine
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“Machine learning and deep learning have opened the door to new approaches in personalized medicine, including immunotherapy, drug design, and gene editing. I am interested in utilizing machine learning to help create personalized cancer treatments for patients, either through personalized drug combinations or vaccines, and predict tumor responses to these treatments. With these novel methodologies, I hope to help medicine progress towards the inevitable future model of individualized care and treatment.”
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