Members of the Zhoumeng Lin Lab in the UF College of Public Health and Health Professions Department of Environmental and Global Health received multiple awards, delivered several presentations and provided service at the Society of Toxicology 64th Annual Meeting and ToxExpo March 16-20 in Orlando.
Lin, Ph.D., D.A.B.T., C.P.H., an associate professor of environmental and global health and a member of the Center for Environmental and Human Toxicology and Center for Pharmacometrics and Systems Pharmacology, focuses on the development and application of computational technologies to address research questions related to nanomedicine, animal-derived food safety assessment and environmental chemical risk assessment. His team’s long-term goal is to develop AI-assisted computational approaches to support decision-making in human, animal and environmental health.
Lin, who completed his four-year service in the presidential chain of the Biological Modeling Specialty Section, was recognized for his exceptional leadership and dedication to the section. He served as chair or co-chair for two continuing education courses and delivered two presentations entitled “Basics of machine learning algorithms and their applications in toxicological sciences and physiologically based pharmacokinetic (PBPK) modeling” and “Sensitivity, uncertainty, and variability analyses of physiologically based kinetic models.”
Lin and Chi-Yun Chen, a postdoctoral associate, received the Best Paper of the Year 2024 presented by the Biological Modeling Specialty Section and the Best Manuscript Award presented by the Women in Toxicology Special Interest Group for their paper “A physiologically based toxicokinetic model for microplastics and nanoplastics in mice after oral exposure and its implications for human dietary exposure assessment.”
Additional Lin Lab awards, poster presentations and service activities included:
Chi-Yun Chen
Awards:
- Postdoctoral Researcher and Young Investigator Award, Carcinogenesis Specialty Section
- Best Abstract Award Honorable Mention, Biological Modeling Specialty Section
Poster: “Machine learning-assisted QSAR classification models for carcinogenicity prediction at the organ system level”
Service: Postdoctoral representative of the Risk Assessment Specialty Section
Qiran Chen
Award: Best Abstract Award Honorable Mention, Biological Modeling Specialty Section
Posters: “Machine learning analysis for hepatic and renal toxicity of nanoparticles in mice” and “A toxicokinetic database of PFAS: A systemic evidence map with large language models”
Service: Poster session chair and representative for the BMSS, Medical Device and Combination Product Specialty Section and the American Association of Chinese in Toxicology
Xinyue Chen
Award: Perry J. Gehring Biological Modeling Endowment Award, Biological Modeling Specialty Section
Poster: “Development of an in vitro mechanistic model of protein corona formation to predict the change of sizes of nanoparticles over time”
Kun Mi
Awards:
- Andersen-Clewell Trainee Award jointly presented by the Biological Modeling Specialty Section and Risk Assessment Specialty Section
- Best Abstract Award Honorable Mention, Biological Modeling Specialty Section
Posters: “Large-scale machine learning analysis for nanoparticle-based antitumor therapy” and “Physiologically based pharmacokinetic modeling for oxytetracycline and chlortetracycline to predict residue depletion and determine withdrawal intervals in swine”
Pei-Yu Wu
Award: Best Abstract Award Honorable Mention, Biological Modeling Specialty Section
Poster: “Development of multi-task quantitative structure-activity relationship (QSAR) models with machine learning and artificial intelligence approaches to predict human organ toxicity”
Service: Elected graduate student representative of the Computational Toxicology Specialty Section
Xue Wu
Awards:
- Jean Lu Student Scholarship Award, AACT Specialty Interest Group
- Andersen-Clewell Trainee Award Honorable Mention jointly presented by the Biological Modeling Specialty Section and Risk Assessment Specialty Section
- SOT Graduate Student Leadership Committee Student Representative Travel Award
- Best Abstract Award Honorable Mention, Biological Modeling Specialty Section
Poster: “An interactive physiologically based pharmacokinetic (iPBPK) model for predicting florfenicol and florfenicol amine residues in sheep and goats”
Service: Graduate student representative of the Biological Modeling Specialty Section and continuing education volunteer
Zhicheng Zhang
Awards:
- Best Abstract Award, Computational Toxicology Specialty Section
- 2025 Award for Excellence jointly presented by the Risk Assessment Specialty Section and the International Society of Regulatory Toxicology and Pharmacology
- Best Abstract Award Honorable Mention, Biological Modeling Specialty Section
Poster: “Development of machine learning and large language model-based QSAR models for predicting plasma and tissue drug residue depletion half-lives for medically treated cattle across various administration routes”
Service: Continuing education volunteer