Elisa Benedetti
About Elisa Benedetti
Elisa Benedetti is the Machine Learning and R&D Lead at iollo, where she has been instrumental in integrating generative AI features and managing the scientific product lifecycle. She holds a Master's degree in Physics and a PhD in Bioinformatics, with extensive experience in research and development across various prestigious institutions.
Work at iollo
Elisa Benedetti currently serves as the Machine Learning and R&D Lead at iollo, a position she has held since 2023. In this role, she has led the integration of generative AI features into product development, enhancing user experience. She manages the entire scientific product lifecycle, ensuring scientific integrity and user-centric innovation from conceptualization to market launch. Additionally, she designs and oversees experiments to improve and validate the technical accuracy of metabolomics profiling. Benedetti also coordinates cross-functional collaboration to align scientific research findings with business objectives and is involved in recruiting, hiring, and training new team members.
Education and Expertise
Elisa Benedetti holds a Master's degree in Physics from Università degli Studi di Trieste, where she studied from 2008 to 2011. She also earned a Doctor of Philosophy (PhD) in Bioinformatics from the Technical University of Munich, completing her studies from 2014 to 2019. Her educational background provides a strong foundation in both theoretical and practical aspects of science and technology, which she applies in her current role in machine learning and research and development.
Background
Before her current position at iollo, Elisa Benedetti worked at Weill Cornell Medicine in various roles, including Research Associate, Postdoctoral Associate, and Visiting Fellow, from 2019 to 2023. She also completed a PhD at HelmholtzZentrum München from 2014 to 2018. Earlier in her career, she gained experience through an internship at the European Patent Office in 2013. Her diverse background in research and development across multiple institutions has equipped her with a broad skill set in scientific inquiry and innovation.
Achievements
During her tenure at iollo, Elisa Benedetti has made significant contributions, including leading the integration of generative AI features into product development and managing the scientific product lifecycle. She has designed and overseen experiments to validate metabolomics profiling and coordinated cross-functional collaboration to align research with business objectives. Her involvement in recruiting and training new team members supports the company's growth and innovation efforts.