LT

Hello! I’m LT (Tuo Liu), Ph.D., an environmental health scientist with expertise in omics technologies, statistical analysis, and occupational health research. I recently earned my Ph.D. in Environmental Health Sciences, with a minor in Biostatistics, from the University of Arizona.
My research bridges environmental/occupational exposure, statistical analsis, and public health practice. I focus on applying metabolomics and proteomics to better understand how environmental and occupational exposures impact vulnerable populations, particularly frontline and essential workers such as firefighters and healthcare professionals.
Currently, I work as a Research Associate in the Burgess Lab and the Furlong Lab, where I develop and implement statistical pipelines for biomarker discovery, exposure assessment, and health risk evaluation.
My research portfolio includes:
- Omics Applications: Conducting untargeted and targeted metabolomics and proteomics analyses to uncover biological mechanisms linked to environmental exposures & health conditions.
- Statistical Expertise: Designing and applying standard statistical method, multilevel modeling/longitudinal data analysis, and machine learning methods to large-scale epidemiological and Omics datasets.
- Public Health Impact: Generating actionable insights into occupational risks and advancing strategies to protect high-risk populations.
Beyond research, I am passionate about translating complex scientific findings into accessible knowledge that informs public health policies and interventions. I also create interactive tools and visualizations to help bridge the gap between data science and community health practice.
In all my work, I am driven by the goal of advancing health equity, improving occupational health, and innovating at the intersection of environmental exposures, data analytics, and public health.
news
Apr 15, 2025 | I am going to join the Center for Translational Exposomics Research (CTER) on Environmental Health at USC on June 15th ![]() ![]() |
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Apr 07, 2025 | Dissertation defense passed ![]() |