QUALIFICATIONS

PROFESSIONAL EXPERIENCE

TEACHING RESPONSIBILITIES

RESEARCH INTERESTS

• Modelling.
• Risk assessment.

PROJECTS

• T.T. Yen Le, Modelling in Metal Risk Assessment. In: Larramendy, M. & Soloneski, S. (Eds.), Environmental Health Risk – Hazardous Factors to Living Species. IntechOpen. http://dx.doi.org/10.5772/62911.

• Pham, M.H., Tran, A.T., Duong, T.Y.N., Peijnenburg, W.J.G.M., Le, T.T.Y. (2026) Temperature-dependent bioaccumulation of metals in marine mollusks: Integrating thermal performance curves, machine learning, and toxicokinetic modelling. Environmental Science & Technology, 60, 12992–13006. https://doi.org/10.1021/acs.est.6c03813
• Farias, L., Martinez-Lopez, N., Garcia, M.R., Rode, M., Schäfer, R.B., Le, T.T.Y. Mechanistic prediction of dissolved oxygen concentrations in surface water considering the influence of salinity and temperature. Hydrology Research, 57, 643–675. https://doi.org/10.2166/nh.2026.074
• Schäfer, B., Baikova, D., Bayat, A., Beerman, A., Berger, S., Boenigk, J., Brauns, M., Burfeid-Castellanos, A., Cardinale, B., David, G., Feckler, A., Feld, C., Fink, P., Gessner, M., Hadziomerivic, U., Hering, D., Le, T.T.Y., Macaulay, S., Mayombo, S., Madge Pimentel, I., Orr, J., Osakpolor, S., Schlenker, A., Sures, B., Vermiert, A., Vos, M., Schürings, C. (2025) Effects of biodiversity loss on freshwater ecosystem functions increase with the number of stressors. Global Change Biology, 31:e70617.
• Farias, L., Beszteri, B., Burfeid Castellanos, A.M., Doliwa, A., Enss, J., Feld, C.K., Grabner, D., Lampert, K., Mayombo, N.A.S., Prati, S., Schürings, C., Smollich, E., Schäfer, R.B., Sures, B., Le, T.T.Y. (2024) Influence of salinity on the thermal tolerance of aquatic organisms. Science of the Total Environment, 953, 176120. https://doi.org/10.1016/j.scitotenv.2024.176120
• Le, T.T.Y., Becker, A., Kleinschmidt, J., Mayombo, N.A.S., Farias, L., Beszteri, S. & Beszteri, B. (2023). Revealing interactions between temperature and salinity and their effects on the growth of freshwater diatoms by empirical modelling. Phycology, 3, 413–435. https://doi.org/10.3390/phycology3040028
• Vos, M., Hering, D., Gessner, M.O., Leese, F., Schäfer, R.B., Tollrian, R., Boenigk, J., Haase, P., Meckenstock, R., Baikova, D., Bayat, H., Beermann, A., Beisser, D., Beszteri, B., Birk, S., Boden, L., Brauer, V., Brauns, M., Buchner, D., Burfeid-Castellanos, A., David, G., Deep, A., Doliwa, A., Dunthorn, M., Enβ, J., Escobar-Sierra, C., Feld, C.K., Fohrer, N., Grabner, D., Hadziomerovic, U., Jähnig, S.C., Jochmann, M., Khaliq, S., Kiesel, J., Kuppels, A., Lampert, K.P., Le, T.T.Y., Lorenz, A.W., Madariaga, G.M., Meyer, B., Pantel, J.H., Pimentel, I.M., Mayombo, N.S., Nguyen, H.H., Peters, K., Pfeifer, S.M., Prati, S., Probst, A.J., Reiner, D., Rolauffs, P., Schlenker, A., Schmidt, T.C., Shah, M., Sieber, G., Stach, T.L., Tielke, A.-K., Vermiert, A.-M., Weiss, M., Weitere, M., Sures, B. (2023) The asymmetric response concept explains ecological consequences of multiple stressor exposure and release. Science of the Total Environment, 872, 162196. https://doi.org/10.1016/j.scitotenv.2023.162196
• Le, T.T.Y., Geffard, O., Geffard, A. & Peijnenburg, W.J.G.M. (2023) Approaching a closer surrogate for the biologically effective dose with subcellular partitioning-based toxicokinetic models. Critical Reviews in Environmental Science and Technology, 53, 1103–1125. https://doi.org/10.1080/10643389.2022.2122458
• Perrot-Minnot, M.-J., Cozzarolo, C.-S., Amin, O., Barcak, D., Bauer, A., Marijic, V.F., Garcia-Varela, M., Hernandez-Orts, J.S., Le, T.T.Y., Nachev, M., Orosova, M., Rigaud, T., Sariri, S., Wattier, R., Reyda, F., Sures, B. (2023) Hooking the scientific community on thorny-headed worms: interesting and exciting facts, knowledge gaps and perspectives for research directions on Acanthocephala. Parasites, 30, 23. https://doi.org/10.1051/parasite/2023026
• Le, T.T.Y., Kiwitt, G., Nahar, N., Nachev, M., Grabner, D. & Sures, B. (2022) What contributes to the metal-specific partitioning in the cub-acanthocephalan system. Aquatic Toxicology, 247, 106178. https://doi.org/10.1016/j.aquatox.2022.106178 
• Le, T.T.Y., Nachev, M., Grabner, D., Hendriks, A.J., Peijnenburg, W.J.G.M & Sures, B. (2022). Delineation of the exposure-response causality chain of chronic copper toxicity to the zebra mussel, Dreissena polymorpha, with a TK-TD model based on concepts of biotic ligand model and subcellular metal partitioning model. Chemosphere, 286, 131930. https://doi.org/10.1016/j.chemosphere.2021.131930
• Le, T.T.Y., Grabner, D., Nachev, M., Garcia, M.R., Balsa-Canto, E., Peijnenburg, W.J.G.M., Hendriks, A.J. & Sures, B. (2021). Development of a toxicokinetic-toxicodynamic model simulating chronic copper toxicity to the Zebra mussel based on subcellular fractionation. Aquatic Toxicology, 241, 106015. https://doi.org/10.1016/j.aquatox.2021.106015
• Le, T.T.Y., Nachev, M., Grabner, D., Garcia, M.R., Balsa-Canto, E., Hendriks, A.J., Peijnenburg, W.J.G.M. & Sures, B. (2021) Modelling chronic toxicokinetics and toxicodynamics of copper in mussels considering ionoregulatory homeostasis and oxidative stress. Environmental Pollution, 287, 117645. https://doi.org/10.1016/j.envpol.2021.117645
• Le, T.T.Y., Grabner, D., Nachev, M., Peijnenburg, W.J.G.M., Hendriks, A.J. & Sures, B. (2021) Modelling copper toxicokinetics in the zebra mussel, Dreissena polymorpha, under chronic exposures at various pH and sodium concentrations. Chemosphere, 267, 129278. https://doi.org/10.1016/j.chemosphere.2020.129278
• Le, T.T.Y., Garcia, M.R., Grabner, D., Nachev, M., Balsa-Canto, E., Hendriks, A.J., Zimmermann, S., Sures, B. (2020) Mechanistic simulation of bioconcentration kinetics of waterborne Cd, Ag, Pd, and Pt in the zebra mussel Dreissena polymorpha. Chemosphere, 242, 124967. https://doi.org/10.1016/j.chemosphere.2019.124967
• Le, T.T.Y., Garcia, M.R., Nachev, M., Grabner, D., Balsa-Canto, E., Hendriks, A.J. & Sures, B. (2018) Development of a PBPK model for silver accumulation in chub infected with acanthocephalan parasites. Environmental Science & Technology, 52, 12514–12525. https://doi.org/10.1021/acs.est.8b04022
• Le, T.T.Y. & Peijnenburg, W.J.G.M. (2017) Modelling toxicity of metal mixtures: A generalisation of new advanced methods, considering potential application to terrestrial ecosystems. Critical Reviews in Environmental Science and Technology, 47, 409–454. https://doi.org/10.1080/10643389.2017.1321476
• Le, T.T.Y., Nachev, M., Grabner, D., Hendriks, A.J., Sures, B. (2016) Development and validation of a biodynamic model for mechanistically predicting metal accumulation in fish-parasite systems. PLoS ONE, 11: e0161091. https://doi.org/10.1371/journal.pone.0161091
• Le, T.T.Y., Zimmermann, S., Bernd, S. (2016) How does the metallothionein induction in bivalves meet the criteria for biomarkers of metal exposure? Environmental Pollution, 212, 257–268. https://doi.org/10.1016/j.envpol.2016.01.070
• Dangel, K.C., Keppel, M., Le, T.T.Y., Grabner, D., Sures, B. (2015) Competing invaders: Performance of two Anguillicola species in lake Bracciano. International Journal for Parasitology: Parasites and Wildlife, 4, 119–124. https://doi.org/10.1016/j.ijppaw.2014.12.010
• Matthews, J., Schipper, A.M., Hendriks, A.J., Le, T.T.Y., bij de Vaate, A., van der Velde, G., Leuven, R.S.E.W. (2015) A dominance shift from the zebra mussel to the invasive quagga mussel may alter the trophic transfer of metals. Environmental Pollution, 203, 183–190. https://doi.org/10.1016/j.envpol.2015.03.032
• Le, T.T.Y., Swartjes, F., Römkens, P., Groenenberg, J.E., Wang, P., Lofts, S., Hendriks, A.J. (2015) Modelling metal accumulation using humic acid as a surrogate for plant roots. Chemosphere, 124, 61–69. https://doi.org/10.1016/j.chemosphere.2014.11.003
• Le, T.T.Y., Rijsdijk, L., Sures, B., Hendriks, A.J. (2014) Accumulation of persistent organic pollutants in parasites. Chemosphere, 108, 145–151. https://doi.org/10.1016/j.chemosphere.2014.01.036
• Le. T.T.Y., Wang, P., Vijver, M.G., Kinraide, T.B., Hendriks, A.J., Peijnenburg, W.J.G.M. (2014) Delineating ion-ion interactions by electrostatic modelling for predicting rhizotoxicity of metal mixtures to lettuce Lactuca sativa. Environmental Toxicology and Chemistry, 33, 1988–1995. https://doi.org/10.1002/etc.2643
• Le, T.T.Y., Hendriks, A.J. (2014) Uncertainties associated with lacking data for predictions of solid-solution partitioning of metals in soil. Science of the Total Environment, 490, 44–49. https://doi.org/10.1016/j.scitotenv.2014.04.124
• Le, T.T.Y., Peijnenburg, W.J.G.M. (2013) Modelling toxicity of mixtures of perfluorooctanoic acid and triazoles (triadimefon and paclobutrazol) to the benthic cladoceran Chydorus sphaericus. Environmental Science & Technology, 47, 6621–6629. https://doi.org/10.1021/es4001104
• Le, T.T.Y., Vijver, M.G., Kinraide, T.B., Peijnenburg, W.J.G.M., Hendriks, A.J. (2013) Modelling metal-metal interactions and metal toxicity to lettuce Lactuca sativa following mixture exposure (Cu²⁺ - Zn²⁺ and Cu²⁺ - Ag⁺). Environmental Pollution, 176, 185–192. https://doi.org/10.1016/j.envpol.2013.01.017
• Le, T.T.Y., Hendriks, A.J. (2013) Relationships between absorption efficiency of elements in mammals and chemical properties. Critical Reviews in Toxicology, 43, 800–809. https://doi.org/10.3109/10408444.2013.813906
• Le, T.T.Y., Vijver, M.G., Hendriks, A.J., Peijnenburg, W.J.G.M. (2013) Modelling toxicity of binary metal mixtures (Cu²⁺ - Ag⁺, Cu²⁺ - Zn²⁺) to lettuce, Lactuca sativa, with the biotic ligand model. Environmental Toxicology and Chemistry, 32, 137–143. https://doi.org/10.1002/etc.2039
• Le, T.T.Y., Peijnenburg, W.J.G.M., Hendriks, A.J., Vijver, M.G. (2012) Predicting effects of cations on copper toxicity to lettuce (Lactuca sativa) by the biotic ligand model. Environmental Toxicology and Chemistry, 31, 355–359. https://doi.org/10.1002/etc.736
• Le, T.T.Y., Leuven, R.S.E.W., Hendriks, A.J. (2011) Modeling metal bioaccumulation in the invasive mussels Dreissena polymorpha and Dreissena rostriformis bugensis in the rivers Rhine and Meuse. Environmental Toxicology and Chemistry, 30, 2825–2830. https://doi.org/10.1002/etc.685