I am an environmental toxicologist and the AstraZeneca global lead for the development of innovative science to support future environmental risk assessments and secure the environmental safety (eco-toxicology) of pharmaceuticals; fundamental for sustainability.

As a comparative physiologist and expert fish biologist, 我领导了行动模式驱动的调查,提供了对人类药物如何在动物身上起作用的机制理解,以便更好地预测野生动物可能面临的风险.

我热衷于推动水生安全测试范式远离动物研究的研究. 我通过研究新的替代方法来做到这一点,例如使用细胞在培养中构建3D类器官组织. At AstraZeneca I am the global lead for the 3Rs (reduction, 我很自豪能够主持享有盛誉的澳门在线赌城娱乐奖,帮助分享这些团队的创新成果.

我很荣幸能与我所在领域的一些顶尖学者和意见领袖一起工作,并发表了65多篇科学论文. 我广泛支持早期职业科学家,我是埃克塞特大学生命与环境科学学院的荣誉副教授. 2021年,我加入了独立的英国政府有害物质咨询委员会, 利用新方法方面的专业知识支持未来的化学品评估.

通过与学术界一些最优秀的科学家和领导者合作, 我正在努力寻找更好的方法来预测化学品对环境的潜在影响.

Stewart Owen Principal Environmental Scientist

Hon Associate Professor, University of Exeter.

Hazardous Substances Advisory Committee (HSAC)

Independent Member of UK Government Defra Advisory

AstraZeneca Council for Science and Animal Welfare


CURRENT ROLE

Principal Environmental Scientist

2021

受邀加入英国政府Defra有害物质咨询委员会(HSAC),分享新方法方面的专业知识,以支持未来的化学品评估.

2021

出版了一本关于如何利用人工智能和机器学习创新来更好地保护环境免受化学品影响的书的章节.

2020

环境中药物的优先排序和风险评估(PREMIER), 欧洲联盟创新药物倡议(IMI)联合承诺,我担任行业领导和指定的道德官员.

Featured publications


超越病人:帮助预测药物在环境中的命运和影响的先进技术.

Chapter 11 by Owen & Snape in: The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry. Academic Press, 2021, Pages 217-235, ISBN 9780128200452.

http://www.sciencedirect.com/science/article/pii/B978012820045200012X

环境中非甾体抗炎药(NSAIDs)混合物对鱼类构成风险的药理学预测.

Marmon et al., 2021 Environment International 146, 106222

http://www.sciencedirect.com/science/article/pii/S0160412020321772

近期展望:弥合人类健康与环境的鸿沟. 迈向了解跨物种化学安全评估机制的综合策略.

Rivetti et al., 2020 Toxicology in Vitro 62, 104692

http://www.sciencedirect.com/science/article/abs/pii/S0887233319304722

测试斑马鱼的翻译能力:对心血管药物反应的跨物种分析.

Margiotta-Casaluci et al., 2019 Frontiers in pharmacology 10, 893

http://www.frontiersin.org/articles/10.3389/fphar.2019.00893/full

超越病人的药理学——人用药物的环境风险.

Gunnarsson et al., 2019 Environment International 129, 320-332

http://www.sciencedirect.com/science/article/pii/S0160412019309493

利用机器学习预测鱼类和无脊椎动物的生物浓度因子.

Miller et al., 2019 Science of The Total Environment 648, 80-89

http://www.sciencedirect.com/science/article/pii/S0048969718330869

环境毒理学的机器学习:对整合和创新的呼唤.

Miller et al., 2018 Environmental science & technology 52 (22), 12953

http://pubs.acs.org/doi/full/10.1021/acs.est.8b05382

A review of the pharmaceutical exposome in aquatic fauna.

Miller et al., 2018 Environmental Pollution 239, 129-146

http://www.sciencedirect.com/science/article/pii/S0269749117352375

用分子描述符模拟鱼原代鳃细胞培养上皮的药物摄取.

Chang et al., 2018 Environmental science & technology 53 (3), 1576-1584

http://pubs.acs.org/doi/abs/10.1021/acs.est.8b04394

ECOdrug:一个连接药物和跨物种目标保护的数据库.

Verbruggen et al., 2018 Nucleic acids research 46 (D1), D930-D936

http://academic.oup.com/nar/article/46/D1/D930/4616868