1/14/2026
Our preprint led by Wanyi Tang on Epigenome-wide association analysis of Prenatal Organophosphate Ester Flame Retardants Exposure in Maternal Blood Implicate Maternal Immune and Neuronal Epigenetic Alterations, is now available online in SSRN.
10/27/2025
In collaboration with Dr. Xihao Li at UNC, our abstract on "STAAR-Trio: A functionally informed association analysis framework for family-based designs in sequencing studies", led by Yohhan Kumarasinghe and Qing Tan, has been selected as Reviewer’s choice abstracts at American Society of Human Genetics Annual Meeting. Congratulations to Yohhan and Qing!
10/27/2025
Our abstract on Machine learning-derived subtypes of autism reveal distinct genetic contributions from common and rare variants, led by Qing Tan and Jingyu Xie, has been selected as Reviewer’s choice abstracts at American Society of Human Genetics Annual Meeting and oral representation at World Congress of Psychiatric Genetics. Congratulations to Qing and Jingyu!
11/20/2024
In collaboration with Drs. Marelna Fejzo and Nick Mancuso in the Center of Genetic Epidemiology at USC, our preprint titled Multi-ancestry GWAS of severe pregnancy nausea and vomiting identifies risk loci associated with appetite, insulin signaling, and brain plasticity, has now been published online in medRxiv.
11/7/2024
Our manuscript led by Preethi Prakash, titled Benchmarking Machine Learning Missing Data Imputation Methods in Large-Scale Mental Health Survey Databases, has now been published online in Artificial Intelligence in Health. The scripts can be found in our lab's github repository.
05/07/2024
Our invited review, titled A review of single-cell transcriptomics and epigenomics studies in maternal and child health, has now been published online in Epigenomics.
04/17/2024
Congratulations to Qi Zhang on receiving the Thesis Excellence Award for her master's thesis on Predicting autism severity classification by machine learning models!
03/04/2024
Our lab received the pilot grant from Southern California Environmental Health Sciences Center. We aim to understand the effect of Organophosphate Ester Flame Retardants(OPFR) exposures on women's health and their children's neurodevelopment outcomes using single-cell multiomics technologies in the MADRES cohort.