Speaking
Invited talks, conference presentations, and academic engagements on biostatistics methodology, machine learning in health outcomes, and cancer-disparities research.
Recent
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Presentation
Racial and Ethnic Disparities in Breast Cancer Recurrence: A Population-Based Cohort Study
APHA 2025 Annual Meeting and Expo · Minneapolis, MN
Population-based cohort analysis of breast-cancer recurrence disparities in Virginia, with attention to racial and ethnic patterns in follow-up and surveillance.
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Presentation
Predicting Breast Cancer Recurrence Using Machine Learning: A Population-Based Approach to Inform Equitable Surveillance Strategies
APHA 2025 Annual Meeting and Expo · Minneapolis, MN
Machine-learning models applied to breast-cancer recurrence prediction, with the goal of informing population-level surveillance strategies that account for disparities.
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Presentation · Co-presenter
Formative Evaluation of the Safe Passage Program: An Academic–Community Partnership to Reduce Gun Violence in Norfolk, Virginia
APHA 2025 Annual Meeting and Expo · Minneapolis, MN
Community-based evaluation of the Safe Passage Program, a Norfolk Health Department initiative, presented with Dr. Michele Kekeh.
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Presentation
Assessing Structural Barriers and Machine Learning Predictive Accuracy in Early-Onset Colorectal Cancer Outcomes
APHA 2024 Annual Meeting and Expo · Minneapolis, MN
Evaluates how structural barriers influence ML-model predictive accuracy in early-onset colorectal-cancer outcomes — with implications for equitable risk-stratification tools.
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Presentation · Co-presenter
From Principal Component Analysis to Machine Learning: A Comparative Study on Health Indicator Development for Predicting Cancer Outcomes
APHA 2024 Annual Meeting and Expo · Minneapolis, MN
Comparative methods study on building health-indicator composites for cancer-outcome prediction, contrasting traditional PCA approaches with supervised ML.
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Presentation · Co-presenter
Towards Culturally Competent Mental Health: Identifying an Asian American Population at Risk of Undiagnosed Mental Illness
APHA 2023 Annual Meeting and Expo · Atlanta, GA
Complex-survey analysis identifying Asian American subgroups at risk of undiagnosed mental illness, with Anne Dumadag.
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Presentation · Co-presenter
Work Stress Levels Among Hospital-Based Lactation Consultants Amidst a Public Health Crisis
APHA 2023 Annual Meeting and Expo · Atlanta, GA
Cross-sectional study of occupational stress among hospital lactation consultants during the COVID-19 pandemic.
Earlier
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Presentation
Using Machine Learning to Identify Influential Contextual Factors of Late-Stage Diagnosis Among Early-Onset Colorectal Cancer
APHA 2022 Annual Meeting and Expo · Boston, MA
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Presentation
Assessing the Impacts of the COVID-19 Pandemic on Hispanic/Latino Farmworkers
APHA 2021 Annual Meeting and Expo · Denver, CO
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Invited talk
A Combined Approach Using AUC and Propensity Score Methods
Midwest Biopharmaceutical Statistics Workshop · Indianapolis, IN
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Invited talk
The Performance of Different Propensity Score Methods for Estimating the Area Under the Curve
6th Workshop on Biostatistics and Bioinformatics · Atlanta, GA
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Presentation
Adjusting for Covariates Using Propensity Scores When AUC Is Used as Measure of Risk Effect
Joint Statistical Meetings · Boston, MA
Speaker kit
For conference organizers
For invited-speaker inquiries — keynotes, conference panels, departmental seminars, workshops — the following is what you'll typically need.
Topics
- Machine learning for cancer-disparities research
- Propensity-score methods and causal inference from observational data
- Effect-sizes-first pedagogy for graduate biostatistics
- Structural barriers in health-outcomes research
- Open-source statistical tools in the classroom
Bio & headshot
Short and long bios and a hi-res headshot are available on request. Email [email protected] with the event name, date, and target audience; response within two business days.