Posts by Collection

My research focuses on advancing wastewater-based epidemiology through the development and optimization of detection methods for emerging pathogens. I conduct in silico assay development and wet-lab validation for droplet digital PCR (ddPCR) and sequencing-based approaches. My work has directly contributed to improving the current wastewater surveillance system, including the development and validation of a wild-type measles assay applied by multiple health departments in response to recent outbreaks, and continues to expand through bioinformatics and metagenomic applications.

My research explores using bioextractive macroalgae aquaculture as a sustainable alternative to advanced wastewater treatment technologies in coastal areas. I developed an integrated framework that combines process modeling, life cycle assessment, and techno-economic analysis to evaluate system feasibility, environmental impacts, and economic performance. This work provides guidance and support for future efforts in sustainable nutrient management and climate resilience.

Based on a case study of a coastal WRRF in Maine, this work integrates wastewater treatment simulation, life cycle assessment, and techno-economic analysis to evaluate seaweed aquaculture as a sustainable alternative to advanced nutrient removal processes. The results indicate that nutrient bioextraction can achieve comparable nitrogen reduction with lower costs and added environmental benefits.

This study assesses the economic and environmental performance of various cultivation, processing, and end-use strategies for Saccharina latissima and Gracilaria tikvahiae. It demonstrates the benefits of co-cultivation and shared infrastructure and identifies areas for process optimization.

This study assessed the feasibility of using a PCR rapid test system for monitoring SARS-CoV-2, influenza A, influenza B, and RSV in school wastewater. The findings demonstrate the potential of this rapid testing technology for efficient and cost-effective monitoring of respiratory viruses in facility-level wastewater, particularly for testing lower quantities of samples in resource-constrained areas.

In this study, multiplexed RT-ddPCR assays were developed to detect measles, mumps, and rubella viruses in wastewater and distinguish between wild-type and vaccine measles strains. Virus partitioning and persistence in wastewater were assessed.

In this research, six concentration methods were compared in terms of sensitivity and cost for the detection of 14 diverse pathogens in wastewater. This study provides data-driven insights to enhance the reliability and cost-effectiveness of wastewater surveillance systems that can support public health responses for a broad range of diseases.

Watch the Recording

As a guest lecturer, I delivered lectures on key topics in wastewater treatment. I stepped in to teach the class when the primary instructor was unavailable, ensuring students received continued instruction on the subject.

As a teaching assistant, I led lab classes and coordinated a tour of the local wastewater treatment plant. My responsibilities also included grading all assignments, reports, and exams. I fostered an open learning environment by encouraging questions and offering flexible one-on-one meetings, providing personalized support to help students achieve their learning objectives.

As a teaching assistant, I led lab classes, graded assignments, and held office hours to support student learning. I proactively identified common challenges discussed in office hours and classes, and used these insights to deliver detailed comments on assignments, improving their learning outcomes.

Drawing on my dissertation research, I designed and taught a specialized module on wastewater treatment simulation using GPS-X Pro. In this project, I guided students to build a dynamic model of a real wastewater treatment plant in Potsdam, NY, using its actual construction and operational data. This hands-on experience bridged the gap between classroom concepts and real-world engineering, enabling students to apply their learning to a practical case study.

I led a hands-on module where students used GPS-X Lite, a dynamic wastewater treatment simulator, to solve process problems. This experience deepened their understanding of wastewater treatment fundamentals and provided a foundation in process simulation. The skills learned are essential for the advanced modeling, control, and optimization of modern wastewater treatment plants.

I designed and led workshops on wastewater surveillance for community college students from diverse backgrounds. The curriculum explained how wastewater data tracks community disease transmission, informing public health responses and enabling individuals to make protective health decisions. A key component was an interactive online simulation tool I developed, which allowed students to explore the key variables and limitations of wastewater surveillance.