• Contract role creating and utilizing analytical methodologies to build novel demographic datasets in raster format and provide guidance for company data collection, management, and analytics

• Remotely taught general statistics and spatial statistics courses in R to professional ecologists• Consulted researchers studying a wide range of ecology-related topics on statistical methodology

• Led research projects and participated in all parts of the research process including study design, data collection, management, visualization, exploratory data analysis, statistical modeling, and findings communication with a focus on urban and environmental health• Consulted researchers in various public health fields on statistical methodology and experimental design with a particular focus on spatial statistics, including approaches such as multilevel regression, casual inference, predictive modeling, space-time cluster detection, kriging, and machine learning, among others• Worked with large spatial and longitudinal datasets, including those with sensitive patient data, such as the Environmental Influences on Child Health Outcomes (ECHO) national cohorts with over 50,000 children• Played a leading role in the development of an automated opioid overdose cluster reporting system for the Baltimore City Health Department • Participated in the development of a COVID-19 syndromic surveillance tool with over 14,000 users, building a user-facing ArcGIS dashboard and conducing spatial analyses of the reported symptoms• Developed an interactive R Shiny map and dashboard utilized by over 30 health center workers and researchers in rural Zambia• Conducted background research and helped design Project VITAL in Baltimore City that studies the effects of vacant lot improvement on adolescent health disparities, which subsequently received one million dollars in funding • Published over 15 research journal and conference papers as a first author or a co-author and assisted with grant proposal preparation• Teaching Assistant in spatial statistics and GIS graduate-level courses for working professionals and graduate students

• Obtained, managed, and analyzed environmental data from satellites (MODIS, TRMM) and weather stations, to study the associations between environmental conditions and malaria incidence in Zambia. • Utilized Open Data Kit and REDCap• Received the Global Health Established Field Placement award to conduct field work in Macha, Zambia.

Conducted statistical analyses of various player injuries and helped write related academic publications

• Developed a statistical model for predicting US Senate election results in 2020 and subsequent years which showed 94% accuracy in 2020• Coauthored an internal report on model methods and interpretation, as well as related exploratory data analysis

• Conducted data management, analysis, visualization, and manuscript preparation for the Baltimore City Healthy Food Availability Index survey• Analytical approaches included multilevel regressions and Latent Class Analysis (LCA)

• Assisted in developing a novel method to quantify RNA in cell nucleoli using confocal microscopy • Took and quantitatively analyzed digital microscope images, conducted various laboratory duties, managed and statistically analyzed data using MS Excel

• Built finite element models of vocal folds and their vibration using COMSOL Multiphysics software in addition to other computer and physical vocal fold models• Wrote several research publications and assisted with grant proposal preparation