Hans Wilms
About Hans
I am a research scientist with a background in wet-lab molecular biology and computational data analysis. I earned my Ph.D. in Biology from Georgia State University, following earlier training in biotechnology and statistics at Kennesaw State University. My path to the lab has spanned both academic and industry settings, including roles in molecular diagnostics, biopharmaceutical process development, and regulated laboratory environments, which shaped my interest in combining rigorous experimental design with scalable data analysis. Before joining the Whiteley lab, my research focused on bacteriophage biology and the development of bacterial single-cell RNA-sequencing approaches, where I implemented PETRI-seq to study phage-infected Pseudomonas aeruginosa and built custom bioinformatics pipelines to analyze these data.
About Hans
I am a research scientist with a background in wet-lab molecular biology and computational data analysis. I earned my Ph.D. in Biology from Georgia State University, following earlier training in biotechnology and statistics at Kennesaw State University. My path to the lab has spanned both academic and industry settings, including roles in molecular diagnostics, biopharmaceutical process development, and regulated laboratory environments, which shaped my interest in combining rigorous experimental design with scalable data analysis. Before joining the Whiteley lab, my research focused on bacteriophage biology and the development of bacterial single-cell RNA-sequencing approaches, where I implemented PETRI-seq to study phage-infected Pseudomonas aeruginosa and built custom bioinformatics pipelines to analyze these data.
Research Interests
My current research focuses on understanding evolutionary dynamics in microbial populations using genealogical barcoding approaches. In the Whiteley lab, I am interested in how lineage-resolved barcodes can be used to track population structure, evolutionary trajectories, and fitness differences over time.
Research Interests
My current research focuses on understanding evolutionary dynamics in microbial populations using genealogical barcoding approaches. In the Whiteley lab, I am interested in how lineage-resolved barcodes can be used to track population structure, evolutionary trajectories, and fitness differences over time.
This website was developed by members of the Whiteley Lab at the Georgia Institute of Technology. It is not an official Georgia Tech website.
The text of this website is released under the Creative Commons Zero Waiver 1.0 (CC0).
This website was developed by members of the Whiteley Lab at the Georgia Institute of Technology. It is not an official Georgia Tech website.
The text of this website is released under the Creative Commons Zero Waiver 1.0 (CC0).
This website was developed by members of the Whiteley Lab at the Georgia Institute of Technology. It is not an official Georgia Tech website.
The text of this website is released under the Creative Commons Zero Waiver 1.0 (CC0).
This website was developed by members of the Whiteley Lab at the Georgia Institute of Technology. It is not an official Georgia Tech website.
The text of this website is released under the Creative Commons Zero Waiver 1.0 (CC0).