Our preprint led by Preethi Prakash, titled Benchmarking Machine Learning Missing Data Imputation Methods in Large-Scale Mental Health Survey Databases, is available on medRxiv. The scripts can be found in our lab's github repository.


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.


Congratulations to Qi Zhang on receiving the Thesis Excellence Award for her master's thesis on Predicting autism severity classification by machine learning models!


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.