Robert Beiko

Robert Beiko is a Professor in the Faculty of Computer Science at Dalhousie University, where he leads the Beiko Lab in Bioinformatics and is affiliated with the Algorithms & Bioinformatics research cluster. His research focuses on understanding microbial ecosystems through computational methods.

Education:

• PhD, University of Ottawa (2003)
• BSc, Dalhousie University (1998)

His research spans bioinformatics, comparative genomics, phylogenetics, machine learning, and visualization of biological data, with particular emphasis on the human microbiome, antimicrobial resistance, and horizontal gene transfer. His lab utilizes advanced techniques including amplicon sequencing, metagenomics, and machine learning approaches to analyze complex microbial communities.

Although no specific publications are listed in the source text, his research output consistently contributes to the fields of computational biology and microbial genomics, with a strong interdisciplinary focus on health and environmental microbiology.

He is currently offering fellowship opportunities, indicating active research programs and funding. He teaches courses within the Faculty of Computer Science and mentors students in bioinformatics research.

Labs and Research Groups:

• Beiko's Lab in Bioinformatics
• Algorithms & Bioinformatics Research Cluster