Catherine Guimaraes Weldon
About Catherine Guimaraes Weldon
Catherine Guimaraes Weldon is an Artificial Intelligence and Machine Learning Associate at Penguin Random House in New York, with a diverse background in machine learning, programmatic trading, and research.
Current Title: Artificial Intelligence and Machine Learning Associate
Catherine Guimaraes Weldon is currently employed as an Artificial Intelligence and Machine Learning Associate at Penguin Random House in New York, New York, United States. In this role, she focuses on leveraging AI and ML technologies to enhance various aspects of book publication and distribution, honing her expertise within the publishing industry.
Work Experience in Machine Learning and Curriculum Development
Catherine previously worked at The Coding School in Los Angeles, California, where she developed and instructed a machine learning curriculum in 2020. Her work aimed at educating students and enhancing their understanding of machine learning principles and applications.
Master Thesis and Research Projects in Robotics and Medical Fields
Catherine has a notable background in research, including a Master Thesis Project at Stanford University School of Medicine completed in 2021. This project involved the application of machine learning techniques within the medical field. Additionally, she contributed to a research project at the Robotics, Perception, and Learning Lab at KTH Royal Institute of Technology, focusing on advanced robotics and machine learning applications.
Earlier Work in Programmatic Trading and Analytics
From 2017 to 2019, Catherine held roles at MiQ in Greater New York City Area, first as an Associate Programmatic Trader and then as a Programmatic Trader. In these positions, she was responsible for optimizing digital advertising campaigns using data-driven strategies. She also interned at Focus Features in Greater Los Angeles Area in 2016, conducting research and analytics to support film marketing strategies.
Educational Background: Master’s Degree in Machine Learning and Bachelor's Degree in Operations Research and Information Engineering
Catherine's academic qualifications include a Master of Science degree in Machine Learning from KTH Royal Institute of Technology, obtained in 2021. She also earned a Bachelor’s Degree in Operations Research and Information Engineering, with a Minor in English, from Cornell University, completed in 2016.