Computational Biology
David Knowles and collaborators develop RNA-based predictive models.
Using AI to solve real-world problems, especially in healthcare.
David Knowles is part of a research team focused on identifying variants and genes affecting language disorder and studying the neuronal pathways and circuits involved in sound association along with the mutations that can disrupt them.
About
The Computational Biology Group brings together interdisciplinary and cross-disciplinary individuals and skillsets to tackle problems in high throughput genomics, systems biology, and genetics.
The group develops computational methods to analyze high throughput data on genetic variants within species, primarily human SNP, and sequencing data.
The student and postdoc body in the group is very diverse in terms of undergraduate background as well as current PhD program or postdoctoral affiliation. The group meets weekly giving an opportunity for students to present their research internally and feedback on one another’s work. Weekly meetings occasionally give host to guest speakers, include a journal club, or extracurricular activities.
Computational Biology Bi-Group 
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