Detection of Omicron in Houston wastewater

A twitter thread

Image credit: Unsplash
Todd J. Treangen
Todd J. Treangen
Associate Professor of Computer Science, Bioengineering

My research interests include algorithms and data structures for efficient analysis of microbial genomes and metagenomes

Dr. Nicolae Sapoval
Dr. Nicolae Sapoval
PhD student

Dr. Sapoval received his Ph.D. in Computer Science from Rice University in May 2024. Previously he obtained a B.S. degree in Computer Science and a B.S. with Honors in Mathematics from the University of Chicago. At the University of Chicago Nick worked in wireless networks research and later in computational biophysics focusing on conformational transition modeling for insulin degrading enzyme. His current interests are in the areas of computational biology with a focus on genomic data.

Dr. Yunxi Liu
Dr. Yunxi Liu
PhD student

Dr. Liu received his Ph.D. in Computer Science from Rice University in May 2024. Previously, Louis (4th year PhD student) obtained a B.S. degree in Computer Science from the University of Houston and a B.S. degree in Pharmacology from China Pharmaceutical University. During his undergraduate in UH, he did research in the Pattern Analysis Laboratory on image feature extraction. His current research interests include computational biology, metagenomics, and data science.

Dr. Michael Nute
Dr. Michael Nute
Research Scientist

Mike (Research Scientist) received his Ph.D. in Statistics in 2019 from the University of Illinois at Urbana-Champaign where he was advised by Dr. Tandy Warnow in the Department of Computer Science and worked on algorithms related to multiple sequence alignment and phylogenetic tree estimation, in particular applying these methods to studying microbial communities. He was co-advised by Dr. Rebecca Stumpf in the Department of Anthropology where he and other lab members developed novel methods to compare the microbiomes of human and non-human primates. His research interest is in discovering a new applications for our understanding of microbial communities.

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