Héléna Alexandra Gaspar
About Héléna Alexandra Gaspar
Héléna Alexandra Gaspar is a Senior AI Scientist at BenevolentAI in London, with a background in chemoinformatics and bioinformatics.
Title and Current Role
Héléna Alexandra Gaspar is a Senior AI Scientist currently working at BenevolentAI in London, England, United Kingdom. She began her role at BenevolentAI in February 2019. As a Senior AI Scientist, her expertise in machine learning, chemoinformatics, and bioinformatics is instrumental for the organization.
Previous Experience at King's College London
Héléna Alexandra Gaspar worked at King's College London as a postdoctoral researcher from 2015 to 2019. During her four-year tenure, she investigated drug hypotheses based on genetic data. Her research involved advanced computational methods to explore genetic information for drug development.
Education and Academic Research
Héléna Alexandra Gaspar achieved a Doctor of Philosophy (Ph.D.) in Chemoinformatics from the University of Strasbourg, where she studied from 2012 to 2015. Her doctoral research focused on embedding methods to visualize the multidimensional chemical space. She also holds a Master of Science - MS(Res) in Chemoinformatics from the University of Strasbourg, obtained between 2010 and 2012. Additionally, she holds a Bachelor of Science (B.Sc.) in Life Sciences from Université Paris Cité (2007-2010) and a DEUG in Classics and Classical Languages, Literatures, and Linguistics from Université Paris-Sorbonne (2004-2006).
Previous Experience at Université de Strasbourg
Héléna Alexandra Gaspar has a rich history at Université de Strasbourg. She pursued multiple internships, including a Master 2 Internship in 2012 for five months and a Master 1 Internship in 2011 for two months. Additionally, she was a self-employed programmer designing mobile applications for five months in 2011. These diverse experiences contributed to her skillset in chemoinformatics and other scientific domains.
Projects and Platforms
Héléna Alexandra Gaspar has contributed to building web platforms such as drugtargetor.com and navigome.com to navigate the phenome space. These platforms facilitate the investigation and visualization of complex chemical and biological data, providing valuable resources for drug development and other related research.