Yue Shi is a research fellow in Dr. Alicia Martin’s lab. She obtained with an MD degree from Sun Yat-sen University, specialized in Reproductive Medicine. Her MD research focused on the Application of Whole-exome Sequencing for Precision Medicine Research on Female Reproduction. She is widely interested in uncovering the genetic basis of diseases and exploring […]
Lerato Majara is a Postdoctoral fellow in Alicia Martin’s lab. She has a background in Medical Microbiology having completed her undergraduate and MSc degrees in this field. She slightly shifted fields to pursue a PhD in Human Genetics at the University of Cape Town (UCT). Her PhD thesis investigated the genetic risk factors associated with […]
Yixuan (pronounced yi-shwin) is a postdoctoral research fellow in Dr. Alicia Martin’s lab. She did her PhD in Bioinformatics and Integrative Genomics at Harvard Medical School as a NSF graduate research fellow. Her PhD thesis focused on new methods to integrate environmental and clinical data to predict disease risk. She is broadly interested in developing methods […]
Ying is a postdoctoral research fellow in Dr. Alicia Martin’s lab. She did her PhD in statistical/quantitative genetics at the University of Queensland. During her PhD, she worked on the application of genomic prediction methods in diverse ancestry populations and development of such methods to improve transferability of polygenic scores in trans-ancestry predictions. She has […]
Kristin is a PhD student in the Biological and Biomedical Sciences (BBS) program at Harvard Medical School, co-advised by Alicia Martin and Mark Daly. She completed her undergraduate degree in Integrative Biology at Harvard. She is broadly interested in developing approaches to study disease risk prediction in diverse populations, and in particular, leveraging biobank data to […]
Zan is a Computational Associate at the Broad Institute. They are interested in creating community tools which contribute to overall global health equity. Under the mentorship of Alicia Martin, they are working on running analyses and developing tools for datasets with diverse ancestry populations such as NeuroGAP-Psychosis, HGDP, and the 1000 Genomes Project. […]
