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A career in cheminformatics at the US-EPA – serving the scientific community with internet-based data
Citation:
Williams, A. A career in cheminformatics at the US-EPA – serving the scientific community with internet-based data. SERMACS, Durham, NC, October 25 - 28, 2023. https://doi.org/10.23645/epacomptox.24492103
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Description:
Antony Williams (Tony) is a cheminformatician at the US Environmental Protection Agency in the Center for Computational Toxicology and Exposure. He has been involved in cheminformatics and the dissemination of chemical information for almost thirty years. During his career he has worked in academia, for a Fortune 500 company (Eastman Kodak), for two very successful start-ups, for the Royal Society of Chemistry and now at the US-EPA. During his career he took a “hobby project” to fruition which is now used by tens of thousands of users per day worldwide. He was one of a small team of chemists who worked on the curation of thousands of chemistry articles on Wikipedia and worked on chemistry software that has been downloaded by over 2 million people, each time considering how to contribute to the dissemination of chemistry data to the community. While at the EPA he was the initial project lead for the agency’s CompTox Chemicals Dashboard and now oversees the development of proof-of-concept software modules to test new approaches to delivering complex chemistry related data via the web. Tony will provide a short overview of his career path and discuss the various decisions that helped motivate his change in career from professional spectroscopist to website host and innovator, to working for one of the world's foremost scientific societies, and now for one of the most impactful government organizations in the world. He will discuss his reasons for choosing a career in government. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.
URLs/Downloads:
DOI: A career in cheminformatics at the US-EPA – serving the scientific community with internet-based data
PRESENTATION.PDF (PDF, NA pp, 1812.461 KB, about PDF)