Harvard University · Mathematics & StatisticsCenter for Cancer Data Science
Xihong Lin · Cambridge, Massachusetts
Research Focus
Dr. Xihong Lin's lab focuses on using advanced statistical and machine learning techniques to analyze large genetic and genomic datasets in cancer research. They aim to uncover insights into cancer prevention and treatment by integrating various types of data, such as whole genome sequencing, single-cell omics, and clinical information. The lab is committed to reducing health disparities through precision medicine strategies by developing accessible tools for the cancer research community.
cancer researchgenomicsmachine learningstatistical methodsprecision medicinebiostatisticsgenetic epidemiologybiobanksmulti-omicshealth disparities
Research Aims
5AIM 01Develop statistical methods for analyzing large genetic datasets.
AIM 02Integrate genomic and clinical data to identify cancer risk factors.
AIM 03Create tools for joint analysis of germline and somatic mutations.
AIM 04Investigate the effects of genetic variants on cancer treatment responses.
AIM 05Provide open access software resources for cancer research analysis.
Skills the Lab Values
statistical modelingmachine learninggenome sequencingexome sequencingsingle-cell RNA sequencingdata integrationbioinformaticsPython programmingdata visualizationcloud computing
Output against the department
Publications630top 8% of dept.10th of 131
this lab
most publishedleast published
Citations43ktop 11% of dept.15th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.