Dr. Huang obtained his BS in Biological Science and PhD in Bioinformatics from Peking University, China. During his PhD studies, under the guidance of Dr. Liping Wei, he developed MosaicHunter, the first computational tool capable of systematically identifying somatic single-nucleotide variants from non-cancer whole-genome and exome sequencing data.

Dr. Huang then received his postdoctoral training with Drs. Christopher Walsh, Alice Lee, and Matthew Warman at Boston Children's Hospital and Harvard Medical School, where he pioneered in revealing the accumulation of somatic mutations in various tissue types and their contribution to many diseases including Alzheimer's disease, autism, and arteriovenous malformation.

In 2023, Dr. Huang opened his independent laboratory at the Division of Genetics and Genomics, Boston Children's Hospital, with a focus on utilizing computational genomic approaches to investigate the characteristics of somatic mutations in development and aging and their impact on human health. His research projects are being funded by NIH/NIA, NIH/NHLBI, Alzheimer's Association, and Boston Children’s Hospital​. 

Bowen joined the lab in 2023 after graduating from Case Western Reserve University with a PhD in Systems Biology and Bioinformatics. Her Ph.D. research is using single-cell RNA-seq to study transcriptomic burst kinetics and their association with aging. In addition, she has also studied the risk from rare coding variants for Alzheimer's disease in the context of protein structures. She is interested in advancing the computational tools in somatic mutation calling and investigating the effect of somatic mutation in neurodegenerative diseases.

Zheming joined the lab in 2023 after his postdoctoral training in Dr. Eduardo Sontag's lab at the College of Bioengineering at Northeastern University. He obtained his BS in Biological Sciences from Zhejiang University, and PhD in Computational and Integrative Biology from Dr. Benedetto Piccoli's lab at Rutgers University. His primary research involves the interdisciplinary study of mathematical modeling (dynamical systems and control theory), machine learning (physics-informed deep learning), and bioinformatics. He is interested in developing and applying new computational methods to study the role of somatic mutation in the human genome, focusing on cardiovascular biology. 

Yingxi joined the lab in 2024 after her Ph.D. and postdoctoral training in computational biology under the supervision of Professor Jiguang Wang at The Hong Kong University of Science and Technology. Through interdisciplinary collaborations with brain vascular biologists and clinicians, her work has unveiled novel genomic and immune biomarkers in brain vascular malformations and generated new insights into precision medicine in glioma and colorectal cancer. She is interested in developing and tailoring computational methods to study the role of somatic mutation in neurogenetics and translate the discoveries into new therapies.

Irene is an MD-PhD candidate in the Harvard/MIT MD-PhD Program, with her MD through the HST track. She joined the lab in 2023 and is co-mentored by Dr. Christopher Walsh. She obtained her BA in Neuroscience at Washington University in St. Louis and is pursuing her PhD in the Program in Neuroscience at Harvard Medical School. For her PhD research, she is interested in studying early neurodevelopment and how genetic and epigenetic perturbations interact to cause different medical conditions. 

Minye joined the lab in 2024 after obtaining her Master’s degree at the Harvard T.H. Chan School of Public Health in Computational Biology and Quantitative Genetics. She obtained her BSc in Bioinformatics from the University of California, San Diego. Her research has focused on integrating multi-omics data to build gene regulatory networks and using machine learning tools for disease diagnostics. She is interested in applying computational methods to study gene regulation and mutations to better understand diseases.