Luka Lila Thornton


Doctoral Candidate

Research Interests

Luka's research is on using machine learning to help estimate human exposure to nanomaterials and other chemicals in consumer products. They are also interested in chem- and nano-informatics.


  • Thornton LL, Carlson DE, Wiesner MR. 2021. Predicting emerging chemical content in consumer products using machine learning. ChemRxiv. doi:
  • Boyes WK, Beach B, Chan G, Thornton BLM, Harten P, Mortensen H. Accepted Oct 2021. NaKnowBase: An EPA database on the effects of engineered nanomaterials. Scientific Data.
  • Boyes WK, Thornton BLM, Al-Abed SR, Andersen CP, Bouchard DC, Burgess RM, Cohen Hubal E, Ho KT, Hughes MF, Kitchin KT, Reichman JF, Rogers KR, Ross JA, Rygiewicz PT, Scheckel KG, Thai SF, Zepp RG, Zucker RM. 2017. A comprehensive framework for evaluating the environmental health and safety implications of engineered nanomaterials. Critical Reviews in Toxicology 47(9):767-810.
  • Children’s Environmental Health Research Roadmap. 2015. Office of Research and Development, US Environmental Protection Agency. EPA 601/R-15/001.
  • Choi J, Tsyusko OV, Unrine JM, Chatterjee N, Ahn J-M, Yang X, Thornton BL, Ryde IT, Starnes D, Meyer JN. 2014. A micro-sized model for the in vivo study of nanoparticle toxicity: What has Caenorhabditis elegans taught us? Environmental Chemistry 11(3):227-246.
  • Turner EA, Kroeger GL, Arnold MC, Thornton BL, Di Giulio RT, Meyer JN. 2013. Assessing different mechanisms of toxicity in mountaintop removal/valley fill coal mining-affected watershed samples using Caenorhabditis elegans. PLoS ONE 8(9):e75329.

Contact Information

  • Office Location: 2417 CIEMAS
  • Email Address:

Research Interests

Machine learning, Emerging materials in consumer products, Cheminformatics, Environmental exposure