Haley Grant

Haley Grant is an Assistant Professor in the Department of Biostatistics at the University of Pittsburgh School of Public Health, where she teaches foundational biostatistics courses and conducts research at the intersection of statistical methodology and public health practice.

Education:

• BA in Mathematics, Cornell University (2018)
• PhD in Biostatistics, Johns Hopkins University (2023)

Her research program focuses on two primary domains: statistical analysis of Electronic Health Record (EHR) data through collaborations with the PaTH network, and development of machine learning models for non-invasive cancer detection using circulating cell-free DNA biomarkers. She actively contributes to EHR data quality improvement initiatives to enhance research validity across diverse populations and health outcomes.

Recent publications reveal a dual emphasis on obesity characterization (examining treatment patterns and patient experiences through qualitative and EHR analyses) and cancer detection (developing blood-based assays for adenomas and malignancies). These works demonstrate her interdisciplinary approach to transforming statistical methods into actionable public health solutions.

Scientific Awards: No awards mentioned in source material.

As an educator, Dr. Grant mentors future public health professionals through courses including Introduction to Statistical Methods (BIOST 2041), Biostatistical Methods (BIOST 2141), and Applied Regression Analysis (BIOST 2142). She additionally provides biostatistical consulting services through the BERD core of the Clinical and Translational Science Institute, supporting research design and analysis across the university.

She maintains active collaborations with the PaTH network on EHR-based health condition studies and participates in working groups dedicated to optimizing EHR data quality for translational research, fostering cross-institutional team science to address complex population health challenges.