Olinto Linares Perdomo, PhD, Ms, Ee
About Olinto Linares Perdomo, PhD, Ms, Ee
Olinto Linares Perdomo, PhD, Ms, Ee, is a Medical Data Scientist at Yale University with a strong background in bioengineering and biomedical engineering. He specializes in data visualization, healthcare terminologies, and statistical algorithms, contributing significantly to clinical research and data analysis in the healthcare industry.
Work at Yale University
Currently, Olinto Linares Perdomo serves as a Medical Data Scientist at Yale University in New Haven, Connecticut. He has held this position since 2020, contributing to various projects that leverage his expertise in data analysis and healthcare terminologies. His role involves managing complex datasets and applying statistical algorithms to enhance data-driven decision-making within the medical field.
Education and Expertise
Olinto Linares Perdomo earned his PhD in Bioengineering and Biomedical Engineering from the University of Utah College of Engineering, where he studied from 2001 to 2007. He also completed a Postdoctoral Associate program at the University of Utah School of Medicine-Bioinformatics, focusing on nanoparticles as drug delivery systems. His educational background includes a Bachelor's degree in Electrical and Electronics Engineering from Universidad de los Andes (VE) and a Master's degree in the same field from Universidad Central de Venezuela.
Background in Research and Clinical Settings
Before his current role, Olinto Linares Perdomo worked as a Clinical Research Senior at Intermountain Medical Center from 2011 to 2017. He also served as a Research Associate at the University of Utah College of Pharmacy from 2009 to 2011. His experience in clinical research has equipped him with advanced knowledge relevant to the healthcare industry, enabling him to contribute effectively to research initiatives.
Skills in Data Visualization and Analysis
Olinto possesses strong skills in data visualization theory and practice, essential for interpreting complex datasets in healthcare. He is experienced in applying statistical algorithms using R and Python, which enhances his data analysis capabilities. His expertise extends to architecting data warehouse solutions tailored for the healthcare industry, demonstrating his ability to manage multiple projects while maintaining high quality and meeting deadlines.
Understanding of Healthcare Terminologies
Olinto Linares Perdomo has a deep understanding of healthcare terminologies, including SNOMED CT, IC-9/10, LOINC, and RxNorm. This knowledge is crucial for effective communication and data management within the healthcare sector. His critical thinking skills enable him to identify and resolve complex problems, further contributing to his effectiveness as a Medical Data Scientist.