Julia Hoeng
Papers
2
Total Citations
74
H-Index
2
About
Dr. Julia Hoeng is a pioneering systems toxicologist whose research bridges mechanistic biology and artificial intelligence to transform how we assess chemical and environmental health risks. Her major contributions center on understanding how cigarette smoke and other toxicants disrupt lipid metabolism and promote cardiovascular disease—demonstrated in her highly cited study on atherogenic lipidome modulation in ApoE-deficient mice (52 citations). More recently, Dr. Hoeng has been at the forefront of integrating AI-driven laboratory workflows, a critical innovation highlighted during the COVID-19 pandemic when her team developed protocols enabling safe, socially distanced operations (22 citations). Her work exemplifies a shift from traditional toxicology to predictive, data-driven approaches, combining high-throughput omics, computational modeling, and machine learning to unravel complex biological responses. Beyond these landmark papers, Dr. Hoeng has led efforts to establish next-generation risk assessment frameworks, earning recognition as a thought leader in 21st-century toxicology. Her research not only deepens our understanding of disease mechanisms but also provides practical tools for safer product design and regulatory science, making her a vital figure for students and researchers interested in the convergence of AI, systems biology, and public health.
Research Focus
Key Achievements
Top Papers
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