Odalis Hernandez is interested in researching quantitative methods to address challenges related to healthcare utilization. She is passionate about approaching problems with an interdisciplinary approach with research that focuses on understanding healthcare utilization and promoting equitable health outcomes from a multilevel and holistic lens, considering all aspects related to health. Hernandez’s interests lie at the intersection of public health, health economics, and data science, where she explores innovative strategies to analyze big data and uncover associations that reduce undesirable health outcomes.
Hernandez is invested in using “big data” methods to inform intentional interventions tailored to diverse populations. Committed to promoting health equity, she advocates for inclusive and ethical practices in the use of large-scale health data, emphasizing the importance of transparency and reproducibility. Her ongoing research aims to balance methodological rigor with the practical application of healthcare data science to improve individual and population-level health, while addressing systemic biases.