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
Integrative analysis identifies gene signatures mediating the effect of DNA methylation on asthma severity and lung function. Clinical Epigenetics. 2024; 16:15.
The role of cytokines in acute and chronic postsurgical pain after major musculoskeletal surgeries in a quaternary pediatric center. Brain, Behavior, and Immunity. 2024; 122:596-603.
Reply to ''Racial disparities in pediatric atopic comorbidity ". The Journal of Allergy and Clinical Immunology: in Practice. 2024; 12:2881-2882.
Analyzing Racial Disparities in Pediatric Atopic Comorbidity Emergency Department Visitation Using Electronic Health Records. The Journal of Allergy and Clinical Immunology: in Practice. 2024; 12:2826-2837.e10.
Use of Biofeedback-Based Virtual Reality in Pediatric Perioperative and Postoperative Settings: Observational Study. JMIR Perioperative Medicine. 2024; 7:e48959.
Co-Expression Network and Machine Learning Analysis of Transcriptomics Data Identifies Distinct Gene Signatures and Pathways in Lesional and Non-Lesional Atopic Dermatitis. Journal of Personalized Medicine. 2024; 14:960.
Community-level and maternal individual-level social support and offspring epigenetic aging. Annals of Epidemiology. 2024; 97:144.
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; 13:3584.
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.