Mentor Areas
The research in our laboratory focuses on the development of bioinformatics methods to improve our understanding of the genetic basis of human diseases, and the integration of electronic health records and genomic information to facilitate genomic medicine on scale.
Description:
The research in our laboratory focuses on the development of bioinformatics methods to improve our understanding of the genetic basis of human diseases, and the integration of electronic health records and genomic information to facilitate genomic medicine on scale. Current projects include the development of computational tools to call structural variants and DNA modifications from long-read sequencing data, the identification/prioritization of disease-relevant genetic mutations, the use of deep neural network to predict prognosis and optimize therapy for patients with cancer, the application of systems biology approaches on single-cell gene expression data, and the data mining on electronic health records to predict genetic syndromes and causal genes.
Students who are interested in working at the interface of biology and computer science are encouraged to contact the professor to discuss potential research opportunities.
Preferred Qualifications
For students who are interested in developing informatics tools or using deep neural networks to solve biological questions, programming skills in Python and basic machine learning knowledge are necessary.
For students who are interested in doing genomic experiments and developing new sequencing protocols, basic molecular biology knowledge and skills are necessary.
Details:
Preferred Student Year
First-year, Second-Year, Junior, Senior
Project Academic Year
2023–2024
Volunteer
Yes
Paid
Yes
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
Yes
Yes indicates that faculty are open to hiring work-study-eligible students.