Current Members

Research Focus: 

I started my work in the field as a bioinformatician in a microbiology lab, and working with viral/bacterial data has led me to the world of metagenomics. I'm particularly interested in exploring computational methods to better understand the nature of pathogens in various environments. Currently I'm working on improving abundance estimation on metagenomic data.

Education: 

B.A. Materials Science and Engineering, UIUC, 2016

M.S. in Data Analytics and Statistics, Washington University at St. Louis, 2019

Research Focus: 

• Antimicrobial Resistance

• Bioinformatic Software

• Development Computational Epidemiology 

I'm passionate about public health and epidemiology, especially in terms of how diseases are born and evolve and how they spread throughout our environment and among ourselves. Most of my work has dealt with the development of methods for the recognition of antimicrobial resistant genes and mobile genetic elements

Education: 

B.S. Microbiology and Cell Sciences, University of Florida, 2019-2023

 B.S. Computer Science University of Florida, 2019-2023

Research Focus: 

• Microbial Symbiosis

• Marine Invertebrate Systematics

I'm interested in understanding how microbial symbioses shape evolution and am passionate about open science, reproducible research, and data accessibility. My current project involves discovering the diversity and functions of deep-sea glass sponge microbiomes with metagenomics.

Education: 

B.A. Biological Sciences, Smith College, 2021

Research Focus: 

• Microbial water quality

• Water reuse safety

• Antimicrobial resistance

• Climate change

I am a UMD Global STEWARDS NSF-NRT Fellow, trained at the Food-Energy-Water Nexus. My research interest lies in exploring the safety aspects of water reuse, innovative, and Indigenous treatment technologies that can effectively contribute to climate resilience in low-income and marginalized communities.

Education: 

M.P.H. Environmental Health, University of Ibadan, Nigeria

B.S. Wildlife Management, University of Ibadan, Nigeria

Research Focus: 

• Metagenomic Graph Assembly

I am passionate about improving health outcomes through computational methods. My research background includes experience in computer vision and audio machine learning classification. Currently, I am excited to be working on a project focused on metagenomic graph assembly, exploring how novel approaches can facilitate analysis of complex genomic data.

Education: 

B.A. Computer Science, University of Maryland, 2024

B.A. Bioengineering, University of Maryland, 2024

Research Focus: 

• Metagenomics

• Food safety applications

• Parasitology & symbiosis

I’m interested in developing genomic methods for botanical product identification and other food safety applications with the US Food and Drug Administration. I am also interested in parasitology, endosymbiosis, and medicinal plants. I love exploring new bioinformatic methods for challenging systems!

Education: 

B.A. Biological Sciences, Smith College, 2021