Wei-Chun Chou

Wei-Chun Chou,

Research Assistant Professor

Department: Department of Environmental and Global Health
Business Phone: (352) 294-4585
Business Email: w.chou@ufl.edu

About Wei-Chun Chou

Dr. Wei-Chun Chou is a Research Assistant Professor at the Department of Environmental and Global Health and a member of the Center for Environmental and Human Toxicology. He received his Ph.D. in Biomedical Engineering and Environmental Sciences from the National Tsing Hua University in Taiwan. before joining the University of Florida, Dr. Chou was a postdoctoral fellow at the National Institute of Environmental Health Sciences (NIEHS) in Taiwan and the Institute of Computational Comparative Medicine at Kansas State University.

Dr. Chou’s doctoral training was in bioinformatics focusing on developing the machine learning model to discover the genetic fingerprinting deriving the progression of human endometrial cancer. Dr. Chou’s current research program studied the development of Physiologically based pharmacokinetic (PBPK) modeling and applied the model to multiple fields including chemical risk assessment, food safety and nanomedicine delivery. His research has been recognized by the Society of Toxicology (SOT) and received several awards including Andersen-Clewell Trainee Award of the Biological Modeling Specialty Section (BMSS), Best Paper Award of BMSS and Outstanding Postdoctoral Award of Nanoscience and Advanced Materials Specialty Section (NAMSS). In addition, much of his study has been published in high-impact journals on Environmental Health/Sciences including Environmental Health Perspectives, Environmental Science and Technology and Environment International.

Dr. Chou’s current study was to integrate the Bayesian approach and Markov chain Monte Carlo (MCMC) methods to develop a multiple-species generic PBPK model and comprehensive dose-response model in PFAS to address the uncertainty of interspecies extrapolation of PFAS, thereby improving the current risk assessment for PFAS. In addition, Dr. Chou is to advance the risk assessment methodology based the AI-assisted computational approaches and support decision-making in Environmental Health.


Outstanding Postdoctoral Award
2021 · Nanoscience and Advanced Materials Specialty Section, Society of Toxicology
Postdoctoral representative, Biological Modeling Specialty Section
2021 · Society of Toxicology
Andersen-Clewell Trainee Award
2019 · Biological Modeling Specialty Section, Society of Toxicology
Best Paper Award of the Year
2019 · Biological Modeling Specialty Section, Society of Toxicology
Postdoctoral Excellence Award
2019 · Regulatory and Safety Evaluation Specialty Section, Society of Toxicology

Teaching Profile

Courses Taught
PHC6937 Special Topics in Public Health
PHC7738C Physiologically Based Pharmacokinetic Modeling in Toxicology and Risk Assessment

Research Profile

Dr. Chou’s study leverages expertise in bioinformatics, risk assessment, and computational toxicology to address key risk assessment issues without resorting to animal testing. These goals are accomplished through the development of physiologically based pharmacokinetic (PBPK) modeling with special emphasis on simulating the exposure dose in potentially sensitive populations such as infants and children. Together with high-throughput screening (HTS) datasets (e.g., Tox21 and ToxCast), these cell-based models provide information to quantitatively describe the mechanism and dose-dependent chemical perturbation of biological pathways. Currently, his research interest includes investigating the association between nanoparticles’ physicochemical properties and tissue distribution, utilizing machine learning, deep learning and AI approach.

Open Researcher and Contributor ID (ORCID)


Areas of Interest
  • Computational methods for Big Data
  • Machine learning and applications
  • Precision Public Health


An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice.
Journal of controlled release : official journal of the Controlled Release Society. 361:53-63 [DOI] 10.1016/j.jconrel.2023.07.040. [PMID] 37499908.
Development and application of an interactive generic physiologically based pharmacokinetic (igPBPK) model for adult beef cattle and lactating dairy cows to estimate tissue distribution and edible tissue and milk withdrawal intervals for per- and polyfluoroalkyl substances (PFAS).
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association. 181 [DOI] 10.1016/j.fct.2023.114062. [PMID] 37769896.
Fetal Glucocorticoid Mediates the Association between Prenatal Per- and Polyfluoroalkyl Substance Exposure and Neonatal Growth Index: Evidence from a Birth Cohort Study
Environmental Science & Technology. 57(31):11420-11429 [DOI] 10.1021/acs.est.2c08831.
Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling
Toxicological Sciences. 191(1):1-14 [DOI] 10.1093/toxsci/kfac101. [PMID] 36156156.
Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice
ACS Nano. 17(20):19810-19831 [DOI] 10.1021/acsnano.3c04037. [PMID] 37812732.
Per- and polyfluoroalkyl substances in ambient fine particulate matter in the Pearl River Delta, China: Levels, distribution and health implications
Environmental Pollution. 334 [DOI] 10.1016/j.envpol.2023.122138.
Reconstructing population exposures to acrylamide from human monitoring data using a pharmacokinetic framework
Chemosphere. 331 [DOI] 10.1016/j.chemosphere.2023.138798.
A web-based interactive physiologically based pharmacokinetic (iPBPK) model for meloxicam in broiler chickens and laying hens.
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association. 168 [DOI] 10.1016/j.fct.2022.113332. [PMID] 35940329.
An Interactive Generic Physiologically Based Pharmacokinetic (igPBPK) Modeling Platform to Predict Drug Withdrawal Intervals in Cattle and Swine: A Case Study on Flunixin, Florfenicol, and Penicillin G
Toxicological Sciences. 188(2):180-197 [DOI] 10.1093/toxsci/kfac056. [PMID] 35642931.
Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats.
Particle and fibre toxicology. 19(1) [DOI] 10.1186/s12989-022-00489-4. [PMID] 35804418.
Integration of Toxicogenomics and Physiologically Based Pharmacokinetic Modeling in Human Health Risk Assessment of Perfluorooctane Sulfonate
Environmental Science & Technology. 56(6):3623-3633 [DOI] 10.1021/acs.est.1c06479. [PMID] 35194992.
Machine Learning and Artificial Intelligence in Toxicological Sciences
Toxicological Sciences. 189(1):7-19 [DOI] 10.1093/toxsci/kfac075. [PMID] 35861448.
Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches
International Journal of Nanomedicine. Volume 17:1365-1379 [DOI] 10.2147/ijn.s344208.
Cumulative risk assessment of phthalates exposure for recurrent pregnancy loss in reproductive-aged women population using multiple hazard indices approaches.
Environment international. 154 [DOI] 10.1016/j.envint.2021.106657. [PMID] 34052604.
Development of a Gestational and Lactational Physiologically Based Pharmacokinetic (PBPK) Model for Perfluorooctane Sulfonate (PFOS) in Rats and Humans and Its Implications in the Derivation of Health-Based Toxicity Values.
Environmental health perspectives. 129(3) [DOI] 10.1289/EHP7671. [PMID] 33730865.
Human biomonitoring reference values and characteristics of Phthalate exposure in the general population of Taiwan: Taiwan Environmental Survey for Toxicants 2013-2016.
International journal of hygiene and environmental health. 235 [DOI] 10.1016/j.ijheh.2021.113769. [PMID] 34051577.
A physiologically based pharmacokinetic model of doxycycline for predicting tissue residues and withdrawal intervals in grass carp (Ctenopharyngodon idella).
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association. 137 [DOI] 10.1016/j.fct.2020.111127. [PMID] 31945393.
Probabilistic human health risk assessment of perfluorooctane sulfonate (PFOS) by integrating in vitro, in vivo toxicity, and human epidemiological studies using a Bayesian-based dose-response assessment coupled with physiologically based pharmacokinetic (PBPK) modeling approach.
Environment international. 137 [DOI] 10.1016/j.envint.2020.105581. [PMID] 32087483.
Bayesian evaluation of a physiologically based pharmacokinetic (PBPK) model for perfluorooctane sulfonate (PFOS) to characterize the interspecies uncertainty between mice, rats, monkeys, and humans: Development and performance verification.
Environment international. 129:408-422 [DOI] 10.1016/j.envint.2019.03.058. [PMID] 31152982.
PM2.5- and PM10-bound polycyclic aromatic hydrocarbons (PAHs) in the residential area near coal-fired power and steelmaking plants of Taichung City, Taiwan: In vitro-based health risk and source identification.
The Science of the total environment. 670:439-447 [DOI] 10.1016/j.scitotenv.2019.03.198. [PMID] 30904656.
Prioritization of pesticides in crops with a semi-quantitative risk ranking method for Taiwan postmarket monitoring program.
Journal of food and drug analysis. 27(1):347-354 [DOI] 10.1016/j.jfda.2018.06.009. [PMID] 30648590.
PBPK/PD assessment for Parkinson’s disease risk posed by airborne pesticide paraquat exposure.
Environmental science and pollution research international. 25(6):5359-5368 [DOI] 10.1007/s11356-017-0875-4. [PMID] 29209972.
An integrative transcriptomic analysis reveals bisphenol A exposure-induced dysregulation of microRNA expression in human endometrial cells.
Toxicology in vitro : an international journal published in association with BIBRA. 41:133-142 [DOI] 10.1016/j.tiv.2017.02.012. [PMID] 28238728.
Development of an in Vitro-Based Risk Assessment Framework for Predicting Ambient Particulate Matter-Bound Polycyclic Aromatic Hydrocarbon-Activated Toxicity Pathways.
Environmental science & technology. 51(24):14262-14272 [DOI] 10.1021/acs.est.7b02002. [PMID] 29192765.
Estimated Daily Intake and Cumulative Risk Assessment of Phthalates in the General Taiwanese after the 2011 DEHP Food Scandal.
Scientific reports. 7 [DOI] 10.1038/srep45009. [PMID] 28327585.
Mathematical modeling of postcoinfection with influenza A virus and Streptococcus pneumoniae, with implications for pneumonia and COPD-risk assessment.
International journal of chronic obstructive pulmonary disease. 12:1973-1988 [DOI] 10.2147/COPD.S138295. [PMID] 28740377.
Mixture risk assessment due to ingestion of arsenic, copper, and zinc from milkfish farmed in contaminated coastal areas.
Environmental science and pollution research international. 24(17):14616-14626 [DOI] 10.1007/s11356-017-8982-9. [PMID] 28452032.
An Integrative Transcriptomic Analysis for Identifying Novel Target Genes Corresponding to Severity Spectrum in Spinal Muscular Atrophy.
PloS one. 11(6) [DOI] 10.1371/journal.pone.0157426. [PMID] 27331400.
Contribution of inorganic arsenic sources to population exposure risk on a regional scale.
Environmental science and pollution research international. 23(14):14173-82 [DOI] 10.1007/s11356-016-6557-9. [PMID] 27048329.
Physiologically based pharmacokinetic modeling of zinc oxide nanoparticles and zinc nitrate in mice.
International journal of nanomedicine. 10:6277-92 [DOI] 10.2147/IJN.S86785. [PMID] 26491297.
Maternal arsenic exposure and DNA damage biomarkers, and the associations with birth outcomes in a general population from Taiwan.
PloS one. 9(2) [DOI] 10.1371/journal.pone.0086398. [PMID] 24558361.
Visual gene-network analysis reveals the cancer gene co-expression in human endometrial cancer.
BMC genomics. 15 [DOI] 10.1186/1471-2164-15-300. [PMID] 24758163.
Assessing the potential risks to zebrafish posed by environmentally relevant copper and silver nanoparticles.
The Science of the total environment. 420:111-8 [DOI] 10.1016/j.scitotenv.2012.01.023. [PMID] 22326136.
A probabilistic approach to quantitatively assess the inhalation risk for airborne endotoxin in cotton textile workers.
Journal of hazardous materials. 177(1-3):103-8 [DOI] 10.1016/j.jhazmat.2009.11.151. [PMID] 20036462.
Modeling human health risks of airborne endotoxin in homes during the winter and summer seasons.
The Science of the total environment. 408(7):1530-7 [DOI] 10.1016/j.scitotenv.2010.01.007. [PMID] 20106506.
Modeling the impact of climate variability on diarrhea-associated diseases in Taiwan (1996-2007).
The Science of the total environment. 409(1):43-51 [DOI] 10.1016/j.scitotenv.2010.09.001. [PMID] 20947136.
Assessing airborne PM-bound arsenic exposure risk in semiconductor manufacturing facilities.
Journal of hazardous materials. 167(1-3):976-86 [DOI] 10.1016/j.jhazmat.2009.01.079. [PMID] 19233557.


Doctor of Philosophy in Biomedical Engineering and Environmental Sciences
2013 · National Tsing Hua University

Contact Details

(352) 294-4585
Business Mailing:
PO Box 100188