Professor Shibu Yooseph
Department of Computer Science
University of Central Florida
Office: Biological Sciences (133A)
Email: SHIBU dot YOOSEPH at UCF dot EDU
Phone: 407 823 5307
Dr. Shibu Yooseph is a Professor in the Department of Computer Science at the University of Central Florida. He is also the Cluster Lead for the Genomics and Bioinformatics Faculty Research Cluster. He has a Secondary Joint Appointment in the Burnett School of Biomedical Sciences. Dr. Yooseph’s primary research is in Computational Biology and Bioinformatics, with a focus on the design and development of efficient algorithms for large-scale biological data analysis. His research is interdisciplinary, involving applications and collaborations in the fields of computing, genomics, microbiology, environmental research and biomedical sciences. (Brief Bio)
- Algorithm design and combinatorial optimization
- Machine Learning
- Genomics, Computational Biology, and Bioinformatics
- Sequence Assembly
- Homology Detection
- Biomarker Discovery
- Clustering and Ordination
- Functional Genomics
- Microbiome Research
- Integration and analysis of microbiome ‘-omics’ data
- Microbial diversity and ecology in different environments including air, water, and human
- Prediction of microbial associations/interactions
- Host-microbiome associations and mechanisms in the context of health and disease
Google Scholar link to publications.
- (Undergraduate CS course) COT3100H Honors Introduction to Discrete Structures: Topics covered include Logic, Sets, Functions, Relations, Boolean Algebras, Mathematical Induction, Recursion, Counting, Probability, Algorithms and Computational Complexity.
- (Graduate CS course) COT6417 Algorithms on Strings and Sequences: Topics covered include Pattern Matching Algorithms, Data Structures and Indexing (Keyword Trees, Suffix Trees, Suffix Arrays, Burrows-Wheeler Transform, Wavelet Trees, Compressed Suffix Arrays, FM-index), Biological Sequence Alignment Algorithms and Homology Detection, and Speeding up Searching and Clustering (Filtering and Locality-Sensitive Hashing).
We have recently developed a Minor Program in Genomics and Bioinformatics. More information can be found here.