Lin Lab
The Lin Lab, led by Dr. Xihong Lin at the Harvard T.H. Chan School of Public Health, advances genomics and human disease research using innovative statistical and machine learning methods. Our team analyzes large-scale genetic, genomic, and health data to study complex diseases, focusing on areas like whole genome sequencing, functional variant annotation, polygenic risk prediction, and gene-environment interactions. We develop scalable tools, including FAVOR and STAAR, and prioritize improving prediction accuracy for underrepresented populations.
Genomics Training Grant
Dr. Lin’s mission to advance our understanding of genomics and human disease, has lead to the creation of the Genomics Training Grant program at Harvard. The program reflects Dr. Lin’s commitment to training future leaders in statistical genetics, genomics, and computational biology by fostering interdisciplinary research and methodological innovation.
Supported by the NIH (T32GM135117), the program equips doctoral students in Biostatistics and Epidemiology with the skills to develop and apply advanced statistical and computational methods for analyzing massive genetic, genomic, epidemiological, and clinical datasets. Trainees also gain practical experience in molecular biology, genetic epidemiology, and clinical genomics while learning to collaborate effectively with biologists, clinicians, and public health researchers.
Key components of the program include rigorous coursework, hands-on lab rotations, and a focus on big data science and reproducible research. Students complete three lab rotations: one in a wet lab to gain experimental research experience and two in dry labs focused on computational approaches. These rotations foster interdisciplinary dissertation projects and valuable mentorship opportunities.
The program also provides career development through the Individual Development Plan (IDP) process, helping trainees align their career objectives with skill-building opportunities. With leadership from Dr. Lin and co-Director Dr. Curtis Huttenhower, a Professor of Computational Biology and Bioinformatics in the Department of Biostatistics, and contributions from associate directors Dr. Peter Kraft and Dr. John Quackenbush, the program prepares trainees to tackle complex genomic challenges and lead advancements in genomic medicine and public health.
By combining rigorous training with interdisciplinary collaboration, the Genomics Training Grant program develops future quantitative leaders who are ready to address the most pressing questions in genomics and human health.