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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Yoo, Jaesung
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Computational Biology, Neurobiology, Translational Medicine
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“I’m interested in using artificial neural networks (ANNs) to model systems neuroscience circuits. This approach can accurately model systems neuroscience measurements compared to traditional models. And we can leverage explain-ability tools of ANNs to investigate how the ANN recreates the neural measurements, and its responses to perturbations. By bridging the connection between systems circuits and ANNs, I hope to develop more accurate ANNs, and use it as in-silico testbed for clinical neuroscience.”
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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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Zhang, Yiyan
EMAIL
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PHD PROGRAM
RESEARCH INTEREST
Computational Biology
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” I am interested in the trust-worthy statistical and computational tool development for next generation sequence data analysis.”
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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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