Skip Navigation

Person Details: Jennifer Dy

Superfund Research Program

Jennifer Dy

Northeastern University
360 Huntington Avenue
Boston, Massachusetts 02115-5000
Phone: 617-373-3062
Email: j.dy@northeastern.edu

Projects

Publications

2022

  • Li G, Wu C, Wang D, Srinivasan V, Kaeli D, Dy J, Gu AZ. 2022. Machine learning-based determination of sampling depth for complex environmental systems: Case study with single-cell raman spectroscopy data in EBPR systems. Environ Sci Technol 56(18):13473-13484. doi:10.1021/acs.est.1c08768 PMID:36048618
  • Rahman SM, Lan J, Kaeli D, Dy J, Alshawabkeh AN, Gu AZ. 2022. Machine learning-based biomarkers identification from toxicogenomics - bridging to regulatory relevant phenotypic endpoints. J Hazard Mater 423:doi:10.1016/j.jhazmat.2021.127141 PMID:34560480

2018

  • Dong S, Feric Z, Li X, Rahman SM, Li G, Wu C, Gu AZ, Dy J, Kaeli D. 2018. A hybrid approach to identify key indicators of PROTECT (Puerto Rico Testsite for Exploring Contamination Threats) dataset with an end-to-end toolchain. In: 2018 IEEE International Conference on Big Data (Big Data). (). IEEE, New York, NY.
  • Dong S, Feric Z, Li X, Rahman SM, Li G, Wu C, Gu AZ, Dy J, Kaeli D, Meeker JD, Padilla IY, Cordero JF, Velez Vega CM, Rosario Z, Alshawabkeh AN. 2018. A hybrid approach to identifying key factors in environmental health studies. In: 2018 IEEE International Conference on Big Data (Big Data). (). IEEE, New York, NY.
  • Dong S, Feric Z, Li X, Rahman SM, Li G, Wu C, Gu AZ, Dy J, Kaeli D, Meeker JD, Padilla IY, Cordero JF, Velez Vega CM, Rosario Z, Alshawabkeh AN. 2018. A hybrid approach to identifying key factors in environmental health studies. Big Data 2855-2862.
Back
to Top
Last Reviewed: December 05, 2024