Victor M. Torres Lopez
About Victor M. Torres Lopez
Victor M. Torres Lopez is a Data Manager and Data Analyst at Yale University, where he has worked since 2018. He specializes in predictive modeling, data visualization, and statistical analysis, particularly in the medical field, with a focus on neuroimaging and genetic data.
Work at Yale University
Victor M. Torres Lopez has been employed at Yale University since 2018, serving as a Data Manager and Data Analyst. In this role, he focuses on managing and analyzing data, contributing to various projects and initiatives within the university. His work involves applying advanced data analysis techniques to support research and decision-making processes in academic settings.
Education and Expertise
Victor M. Torres Lopez earned a Bachelor of Science degree in Social Sciences from 2003 to 2007. His educational background provides a foundation for his analytical skills and understanding of data in social contexts. He has developed expertise in predictive modeling, data visualization, and statistical analysis, particularly within the medical industry.
Technical Skills and Programming Languages
Victor possesses a diverse set of programming skills, including proficiency in HTML, Python, R, C, C++, and SQL. These programming languages enable him to perform complex data analyses and develop predictive models. His technical expertise extends to natural language processing (NLP) and deep learning, enhancing his capabilities in data management and analysis.
Specialization in Neuroimaging and Genetic Data Analysis
Victor M. Torres Lopez specializes in neuroimaging and genetic data analysis. His focus on these areas allows him to contribute to research that requires advanced analytical techniques. His skills in statistical analysis are particularly tailored to the medical industry, supporting studies that involve complex biological data.