Open to opportunities

Moe Toyoda

@moetoyoda

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Data-driven researcher passionate about community health and statistical modeling.

United States

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What I'm looking for

I am looking for a collaborative environment where I can apply my analytical skills to address public health challenges and contribute to impactful research.

I am a dedicated researcher currently pursuing my Master of Science in Community Health and Preventive Medicine at the University of Illinois Urbana-Champaign. My academic journey has been marked by a strong focus on statistical modeling and data analysis, particularly in the context of public health. I have developed a keen interest in addressing pressing health issues, such as the opioid overdose epidemic, through rigorous research and innovative methodologies.

Throughout my career, I have gained valuable experience as a Graduate Research Assistant, where I contribute to the development of statistical and spatial models. My role involves collaborating with fellow researchers, providing statistical consultation, and ensuring the clarity and rigor of scholarly publications. Additionally, my internship experiences have equipped me with practical skills in machine learning, data validation, and business intelligence, further enhancing my analytical capabilities.

My commitment to academic excellence is reflected in my numerous awards and recognitions, including Best in Statistical Analysis at the Mid-Missouri American Statistical Association Data Fest. I am passionate about leveraging my skills to make a meaningful impact in the field of community health and am eager to continue my professional journey in a dynamic and collaborative environment.

Experience

Work history, roles, and key accomplishments

Current

Graduate Research Assistant

Current

University of Illinois Urbana-Champaign

Aug 2024 - Present (10 months)

Contributed to the development of statistical and spatial models to assess the opioid overdose epidemic across Illinois on a county level. Provided statistical and modeling consultation to other student researchers, enhancing analytical accuracy and methodological consistency.

Statistical Modeling Spatial Modeling Data Analysis R Python ArcGIS

Intern, Institutional Research

Southeast Missouri State University

Jun 2023 - May 2024 (11 months)

Built ML models to predict university retention using R language and developed reports utilizing the newly established data warehouse (Snowflake) in SQL. Assisted in data validation within the warehouse and reconciliation processes, and utilized business intelligence tools to generate reports and dashboards.

Machine Learning R SQL Snowflake Data Validation Data Cleaning Business Intelligence

Research Assistant Intern

Community Partnership at Southeast Missouri

Aug 2022 - May 2023 (9 months)

Conducted statistical modeling to support program evaluation and analyzed client data to identify trends and inform evidence-based intervention strategies. Facilitated data collection and modification instruments to improve data quality for research purposes, and designed and updated dashboards to effectively communicate evaluation findings.

Statistical Modeling Data Analysis Data Collection Data Cleaning R Dashboard Design

Education

Degrees, certifications, and relevant coursework

University of Illinois Urbana-Champaign

Master of Science, Community Health and Preventive Medicine

Pursuing a Master of Science in Community Health and Preventive Medicine. Coursework includes Survival Analysis, Applied Bayesian Analysis, and Spatial Epidemiology.

Southeast Missouri State University

Bachelor of Science, Applied Mathematics & Statistics and Psychology

Grade: magna cum laude, graduation with distinctions

Activities and societies: Math Club (Secretary), The International Honor Society in Psychology (Psi Chi - Secretary), Psychology Club (President / Vice President)

Completed a Bachelor of Science in Applied Mathematics & Statistics and Psychology, with a minor in Data Science. Graduated magna cum laude with distinctions.