Ursula Perez-Ramirez

Ursula Perez-Ramirez has extensive work experience in the field of data science and research. Their most recent role was at Ampere Energy, where they served as the Head of Data Science from January 2021 onwards. Prior to that, they worked as a Data Scientist at the same company from January 2019 to December 2020.

Before joining Ampere Energy, Ursula had a significant research background. Ursula worked as an Image Analysis Research Technician at the Center for Biomaterials and Tissue Engineering from July 2014 to December 2018, focusing on brain MRI imaging preprocessing and analysis related to the effects of alcohol in the brain. Ursula also collaborated as a Researcher at the FMRIB Centre, University of Oxford, in 2016 and 2017, studying functional connectivity changes after alcohol consumption and in early abstinence, as well as the relationship between variance and correlation.

Additionally, Ursula gained teaching experience at the Department of Electronics Engineering UPV from September 2015 to December 2017, where they collaborated in practical sessions for various Bachelor degrees.

Overall, Ursula Perez-Ramirez has a diverse background in data science, research, and teaching, making their a well-rounded professional in their field.

Ursula Perez-Ramirez completed their education in a chronological order. Ursula obtained their Ph.D. in neuroimaging from Universitat Politècnica de València (UPV) from 2014 to 2018. Prior to that, they earned a Master of Science (M.Sc.) degree in Biomedical Engineering from the same institution, UPV, spanning from 2012 to 2014. Their undergraduate studies were completed at the University of Valencia, where they pursued a degree in Electronics Engineering from 2007 to 2012.

In addition to their formal education, Ursula also obtained several certifications. Ursula completed the Business Analyst Nanodegree from Udacity in January 2019. In May 2018, they received the Bertelsmann Data Science Challenge Scholarship from the same institution, Udacity. In August 2015, they attended the UCL Medical Image Computing Summer School (MedICSS) at University College London. Ursula also engaged in online courses, completing Machine Learning and Statistical Analysis of fMRI Data from Coursera in December 2014 and September 2014, respectively. Lastly, they obtained a certification in Machine Learning in Python with scikit-learn from Inria, although the month and year of completion are not provided.