I’m a statistician working to develop and apply statistical methods to accelerate the translational impact of biomedical data. I became interested in this work through collaborations with researchers with overlapping projects. I have more than 10 years of statistical research and consulting experience in pediatric biomedical research areas. I’ve provided statistical support for numerous observational and intervention studies and have a history of successful collaboration with both clinical and basic science investigators.
My methodology and collaborative research areas are statistical genetics, design and analysis of pediatric population pharmacokinetic studies, cancer prevention behaviors and sexually transmitted infections in adolescents, HPV vaccination and its impact on the epidemiology of HPV and pain management in pediatric populations.
Some of my groundbreaking discoveries include the following:
Studying different measures of marker informativeness for ancestry and admixture mapping
Rank-based analysis of multiple genome-wide association studies (GWAS) of childhood asthma among human populations
Identifying the association between African ancestry and cluster-based childhood asthma subphenotypes
I’m honored to have received many awards, including:
Young Investigator Award (co-author, oral presentation), SPA/AAP Pediatric Anesthesiology meeting Phoenix, AZ, (2018)
First place winner (co-author), International Conference of PeriAnesthesia Nurses (ICPAN), Luna Park, Sydney, Australia (2017)
First prize winner (co-author) of the American Academy of Pediatrics John J. Downes Resident Research Award, Society for Pediatric Anesthesia/American Academy of Pediatrics (SPA/AAP) Pediatric Anesthesiology (2013)
First place Abstract Award (co-author) International Assembly for Pediatric Anesthesia, Washington DC (2012)
PhD: University of Cincinnati, OH.
MS: University of Cincinnati, OH.
BS: Changchun University of Science and Technology, Jilin, China.
Bayesian statistics; statistical genetics; population PK/PD study design and modeling
Biostatistics and Epidemiology
Temporal Trends and Racial Disparities in Long-Term Survival After Stroke. Neurology. 2024; 103:e209653.
Assessing Residual Gastric Fluid Volume after Administering Diluted Oral Contrast until One Hour Prior to Anesthesia in Children: An Observational Cohort Study. Journal of Clinical Medicine. 2024; 13.
The need for a true biofeedback-based virtual reality system for achievement of target heart rate variability for children undergoing surgery. Pediatric Anesthesia. 2024; 34:577-579.
Association between maternal prenatal depressive symptoms and offspring epigenetic aging at 3-5 weeks. Annals of Epidemiology. 2024; 93:1-6.
Health Factors Associated With Development and Severity of Poststroke Dysphagia: An Epidemiological Investigation. Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease. 2024; 13:e033922.
Trends Over Time in Stroke Incidence by Race in the Greater Cincinnati Northern Kentucky Stroke Study. Neurology. 2024; 102:e208077.
Human Nephrogenesis can Persist Beyond 40 Postnatal Days in Preterm Infants. Kidney International Reports. 2024; 9:436-450.
Temporal Trends in Public Stroke Knowledge, 1995-2021. Stroke. 2023; 54:3169-3172.
Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methods. Scientific Reports. 2023; 13:11279.
Neonatal AVPR1a Methylation and In-Utero Exposure to Maternal Smoking. Toxics. 2023; 11.