Oscar Patterson Lomba

Manager @ Analysis Group

About Oscar Patterson Lomba

Oscar Patterson Lomba is a Manager at Analysis Group with extensive experience in biostatistics, health economics, and outcomes research.

Company

Oscar Patterson Lomba is currently working at Analysis Group as a Manager, a position he has held since 2019. Located in the Greater Boston Area, Analysis Group provides economic, financial, and strategy consulting to clients across various industries.

Title

Oscar Patterson Lomba holds the title of Manager at Analysis Group. His responsibilities include overseeing projects, managing client relations, and leading a team of analysts and consultants.

Education and Expertise

Oscar Patterson Lomba obtained a Ph.D. in Applied Mathematics from Arizona State University between 2011 and 2014. He also earned a Bachelor of Science in Physics from Montclair State University from 2009 to 2010. His undergraduate studies in Physics were completed at the University of Havana from 2004 to 2008. His expertise spans statistical models, disease spread prediction, and individualized medicine models.

Background

Oscar Patterson Lomba has held various roles prior to his current position. Notably, he was a Consultant in the Department of Biostatistics at Harvard T.H. Chan School of Public Health from 2017 to 2018 and an Associate in Health Economics and Outcomes Research at Analysis Group from 2015 to 2018. His experience also includes positions as a Postdoctoral Fellow and an Intern in biostatistics and communicable disease dynamics, respectively, at Harvard T.H. Chan School of Public Health and Harvard School of Public Health.

Achievements

Oscar Patterson Lomba has developed novel statistical classification algorithms and genetic biomarkers to determine HIV incidence. He has quantified the temporal spreading potential of Ebola and predicted its spread based on sociodemographic indicators. Additionally, he has identified statistical patterns of sexually transmitted diseases across cities and used mathematical and network models to study the impact of drug resistance on treatment strategies. His work includes developing statistical models to estimate influenza incidence and assessing the comparative effectiveness of treatments in various diseases using advanced statistical methods.

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