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Topic: toxicity

Seminar
1 seminar
Grant
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In Toxicology and Bayesian Statistics

Seminar · Environmental Chemistry

Using AI/ML and Bayesian Modeling Techniques to Study Chemical Stressors and Their Impacts

Anais Ortega · NOAA Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies II (CESSRST-II), City College of New York

Fri, Oct 16, 2026 · 15:30 UTC

NOAA's Mussel Watch records are examined as a unified framework for coastal contamination. The study combines sediment chemistry, toxicity, benthic condition and tissue measurements, using AMBI and M-AMBI scores at 732 national assessment sites and 33 Hudson–Raritan stations. Random-forest and Bayesian models associate urbanization with benthic condition in the New York region (ρ=0.62), but not nationally (ρ=0.05). A Delft3D estuary model reproduces observed tides and predicts increased deep-channel bed shear under sea-level rise. The work asks whether sediment contaminants mediate urbanizatio

Develop a preclinical safety-assessment framework for small-molecule and peptide radioconjugates. The Cambridge–AstraZeneca project combines in-vivo PET imaging with multimodal tissue analysis to study distribution and toxicity of targeted radionuclide therapies. Four years of doctoral funding support work across academic and industrial research environments.