PhD students in the program are mentored by the following approved faculty members. Students must have either a primary mentor or a co-mentor who is a computational mentor. View our curriculum and research opportunities to learn more about training in our program.
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Aakrosh Ratan *
Aakrosh Ratan specializes in developing computational methods for analyzing genomic data, with particular emphasis on variant discovery, genome assembly, and comparative genomics.
Aidong Zhang *
Aidong Zhang develops machine learning and data mining methods for biomedical applications, focusing on interpretable and fair learning, federated learning, and using large language models for scientific discovery.
Ani Manichaikul *
Ani Manichaikul develops and applies statistical genetics methods to understand the genetic basis of complex diseases.
Chongzhi Zang *
Chongzhi Zang develops computational methods for analyzing epigenomic and transcriptomic data to understand gene regulation mechanisms.
Gloria M. Sheynkman *
Gloria Sheynkman develops integrative proteogenomics methods to understand proteoform diversity and its role in human disease.
Gustavo K. Rohde *
Gustavo Rohde develops mathematical and computational methods for biomedical imaging and data analysis, particularly transport-based morphometry techniques.
Jason A. Papin *
Jason Papin develops computational models of cellular networks and metabolic systems to understand biological processes relevant to human disease.
Nathan C. Sheffield *
Nathan Sheffield develops computational methods for analyzing large-scale genomic data, particularly focusing on epigenomics, chromatin accessibility, and regulatory genomics.
Philip E. Bourne *
Phil Bourne is a pioneer in structural bioinformatics and data science, focusing on drug discovery, systems pharmacology, and understanding biomolecular structure-function relationships.
Stefan Bekiranov *
Stefan Bekiranov applies computational and statistical methods to analyze genomic and epigenomic data, focusing on understanding gene regulation, chromatin dynamics, and the molecular mechanisms underlying cancer.
Stephen S. Rich *
Stephen Rich conducts large-scale genetic epidemiology studies to understand the genetic basis of diabetes and cardiovascular diseases.
Timothy W. Clark *
Tim Clark specializes in biomedical informatics and FAIR data principles, developing computational frameworks for reproducible research and data integration.
Wei-Min Chen *
Wei-Min Chen develops statistical methods and software tools for genetic association studies and genomic data analysis.
Yanjun Qi *
Yanjun Qi develops machine learning and deep learning methods with applications in bioinformatics and trustworthy AI.
* Computational Mentor