Gonzalo Diaz
About Gonzalo Diaz
Gonzalo Diaz is a Lead Data Scientist at The New York Times, having transitioned from a Senior Data Scientist role within the same organization. He has a diverse background in data science and academia, with previous positions at The Data Incubator, IBM, and teaching roles at various institutions.
Current Role at The New York Times
Gonzalo Diaz serves as the Lead Data Scientist at The New York Times, a position he has held since 2023. In this role, he is responsible for leading data-driven projects and initiatives that support the organization's journalistic efforts. His expertise in data science contributes to enhancing the quality and impact of the news delivered to the audience.
Previous Experience at The New York Times
Prior to his current role, Gonzalo Diaz worked at The New York Times as a Data Scientist from 2020 to 2022 and as a Senior Data Scientist from 2022 to 2023. During these years, he focused on developing analytical models and tools that informed editorial decisions and improved audience engagement.
Work at The Data Incubator
Gonzalo Diaz worked as a Data Scientist at The Data Incubator from 2019 to 2020 for 11 months. This experience provided him with practical skills in data analysis and machine learning, which he later applied in his roles at The New York Times.
Education and Expertise
Gonzalo Diaz holds a Doctor of Philosophy (Ph.D.) in Databases and Computer Science from the University of Oxford, which he completed from 2013 to 2019. He also earned a Master's Degree in Computer Science from Pontificia Universidad Católica de Chile from 2011 to 2013, and a Bachelor's Degree in Physics from the same institution from 2005 to 2010. Additionally, he studied Data Science at The Data Incubator in 2019.
Internship Experience at IBM
Gonzalo Diaz completed two Summer Research Internships at IBM T.J. Watson Research Center, first in 2013 for 3 months and again in 2016 for another 3 months. These internships allowed him to gain valuable insights into research methodologies and data analysis techniques within a corporate environment.