Alberto Bégué
About Alberto Bégué
Alberto Bégué is a Bio AI Research Engineer at InstaDeep Ltd in London, England. He has a strong academic background in artificial intelligence and machine learning, holding a Master of Science from Imperial College London and extensive experience in data science.
Work at InstaDeep
Alberto Bégué serves as a Bio AI Research Engineer at InstaDeep Ltd, a position he has held since 2022. His work focuses on integrating artificial intelligence with biological data to drive advancements in the field. Based in London, England, he contributes to projects that leverage machine learning techniques to enhance bioinformatics and related applications.
Previous Experience at Della
Before joining InstaDeep, Alberto Bégué worked at Della in two capacities. He first served as a Data Scientist Intern from 2020 to 2021 for six months in London, where he gained foundational experience in data science. He later transitioned to a Data Scientist role specializing in Natural Language Processing (NLP) from 2021 to 2022 for one year, further developing his skills in data analysis and machine learning.
Education and Expertise
Alberto Bégué holds a Master of Science in Computing with a focus on Artificial Intelligence and Machine Learning from Imperial College London, which he completed from 2019 to 2020. He also studied at Télécom Paris, where he earned a degree in Data Science and Statistics from 2017 to 2020. His academic background includes rigorous training in mathematics and physics, having completed a preparatory class at lycée Stanislas and achieving a Baccalauréat scientifique with a specialization in Mathematics from 2012 to 2015.
Academic Background
Alberto Bégué's academic journey began at Saint Louis de Gonzague-Franklin, where he completed his Baccalauréat scientifique with Mention Très Bien from 2012 to 2015. He then pursued advanced studies in mathematics and physics at Classe préparatoire scientifique, lycée Stanislas from 2015 to 2017. Following this, he attended Télécom Paris, focusing on data science and statistics from 2017 to 2020, before obtaining his master's degree at Imperial College London.