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Asmaa Ali Abdelwahab
OpenTox 2021 Intern

Asmaa Ali is a Research Data Scientist at Edelweiss Connect GmbH, where she specializes in developing intelligent systems for Chemical Risk Assessment. Her research interests encompass the field of translational toxicology and drug discovery, with a focus on bridging the gap between toxicological research and the development of innovative de novo therapeutics. Prior to joining Edelweiss Connect, Asmaa held the position of Senior Bioinformatician at the Egypt Center for Research and Regenerative Medicine. In this role, she utilized her expertise in machine learning and data analysis techniques to extract valuable insights from genomics data. Asmaa's professional experience also includes working as a Data Scientist at Rosettastein Consulting GmbH. In this role, she excelled in predictive modelling to optimize models in predictive toxicology. She actively evaluated the effectiveness and accuracy of new data sources and data-gathering methods, continuously enhancing the reliability and validity of predictive models. Additionally, Asmaa played a vital role in developing customized data models and algorithms for diverse datasets, contributing to the improvement of product development, marketing strategies, and business tactics.

Abstract for OpenTox Summer School 2023

Recent Advances in the Applications of Artificial Intelligence for Enhancing Chemical Risk Assessment

In the current era of increasing data abundance, advancements in artificial intelligence (AI) have brought advances to the landscape of chemical risk assessment. This interactive session will delve into the intersection of AI and chemical risk assessment, with a specific focus on the latest developments from the past three years. Participants will be introduced to the fundamental concepts of AI and Chemical Risk Assessment and the applications of AI in risk assessment, hazard identification, exposure monitoring, and regulatory compliance. Through an exploration of Advanced AI-driven approaches, attendees will gain insights into the applications, benefits, and challenges associated with these techniques. By participating in this summer school, attendees will deepen their understanding of AI's potential to significantly advance chemical risk assessment practices, paving the way for a safer world by harnessing available data and knowledge. This session offers attendees a unique opportunity to actively engage with recent advancements in AI-assisted chemical risk assessment through the hands-on application of innovative methodologies. By exploring these cutting-edge approaches, participants will gain practical knowledge and valuable insights to navigate the new and evolving landscape of risk assessment effectively. The group will unlock and test the potential of the latest AI concepts and methodologies and enhance their understanding of their real-world implications. Additionally, a follow-up hackathon week (14 - 18 August) will be organised, providing hands-on development and testing of group ideas, models, and services for further exploration.