Carlos Gomez Uribe
About Carlos Gomez Uribe
Carlos Gomez Uribe is the Vice President of Machine Learning at Solugen, with a strong background in statistics and engineering. He has held significant roles at major companies such as Google, Facebook, and Netflix, contributing to algorithmic improvements and product innovation.
Current Role at Solugen
Carlos Gomez Uribe serves as the Vice President of Machine Learning at Solugen, a position he has held since 2023. In this role, he focuses on leveraging machine learning techniques to enhance the company's operations and product offerings. His expertise in statistical modeling and system experimentation is integral to driving innovation within the organization.
Previous Experience at Google
Carlos worked at Google as a Statistician from 2008 to 2010. During his two-year tenure, he contributed to various projects that required advanced statistical analysis and modeling. His experience at Google laid a strong foundation for his future roles in data science and machine learning.
Educational Background
Carlos Gomez Uribe has a robust educational background in engineering and statistics. He earned a PhD in Electrical and Medical Engineering from the Massachusetts Institute of Technology (MIT) from 2004 to 2008. He also holds a Master's degree in Statistics from Stanford University, which he completed from 2018 to 2020. Additionally, he obtained multiple Bachelor's degrees in Mathematics and Electrical Engineering and Computer Science from MIT between 1998 and 2002.
Experience in Data Science and Machine Learning
Carlos has extensive experience in data science and machine learning. He served as the Director of Core Data Science at Facebook from 2017 to 2018, where he worked on algorithmic improvements for the platform's news feed. Prior to that, he was the Vice President of Product Innovation at Netflix from 2010 to 2016, focusing on personalization algorithms. His diverse roles have contributed to his strong focus on creating impactful systems.
Internships and Early Career
Carlos began his career with various internships that provided him with foundational experience in quantitative analysis and engineering. He worked as a Quantitative Intern at Merrill Lynch in 2007 and as a Summer Associate at McKinsey & Company the same year. Earlier, he interned at Analog Devices from 2003 to 2005, where he transitioned from an intern to a consultant, gaining valuable insights into semiconductor manufacturing.