Alberto Bracci, PhD
About Alberto Bracci, PhD
Alberto Bracci, PhD, is a data scientist with a strong background in physics and applied mathematics. He has worked in various roles, including as a PhD student at City, University of London, and currently contributes to research at Adarga while volunteering with the Netherlands Red Cross.
Work at Adarga
Alberto Bracci currently serves as a Research Data Scientist at Adarga, a position he has held since 2022. In this role, he applies his expertise in data science to address complex challenges. His work involves leveraging advanced data analysis techniques and methodologies to support various projects within the organization. Based in London, England, Bracci contributes to the company's mission of utilizing data-driven insights for impactful solutions.
Education and Expertise
Alberto Bracci has a strong academic background in physics and applied mathematics. He earned a Bachelor of Science in Physics from Università di Pisa from 2014 to 2017. He then pursued a Master of Science in Physics of Complex Systems at Politecnico di Torino from 2017 to 2019. Following this, he completed a Doctor of Philosophy in Applied Mathematics at City, University of London from 2019 to 2022. His education has equipped him with a solid foundation in data science, particularly in the areas of large language models (LLMs) and natural language processing (NLP).
Background
Before joining Adarga, Alberto Bracci worked as a PhD student at City, University of London from 2019 to 2022. During this time, he focused on research that contributed to the field of data science. He also gained experience as a Data Scientist with the World Food Programme in 2021, where he applied his skills for a three-month period. Additionally, he has been involved as a Volunteer Data Scientist with 510 - An Initiative of the Netherlands Red Cross since 2021.
Achievements
Alberto Bracci has made significant contributions to the field of data science, particularly through his work with large language models and natural language processing. His ability to adapt quickly to new research areas and industry projects has been a notable aspect of his career. He continues to explore innovative fields within data science, aiming to make meaningful contributions that address complex problems.