Lu Xia, Ph.D.
I am a tenure-track Assistant Professor in the Department of Statistics and Probability and the Department of Epidemiology and Biostatistics (courtesy) at Michigan State University. Before joining Michigan State University, I was a Postdoctoral Scholar in the Department of Biostatistics, University of Washington, working with Professors Ali Shojaie (Biostatistics) and Sina A. Gharib (Medicine). I earned my Ph.D. in Biostatistics at the University of Michigan, advised by Professors Bin Nan and Yi Li.
My research interests lie broadly in developing and applying advanced statistical machine learning methods for problems arising from biomedical research to promote understandings of human diseases and precision medicine. Currently, my core methodological research focuses on: (i) statistical estimation and inference for high-dimensional models; (ii) transfer learning and data fusion; and (iii) integration of multi-omics data. I am also highly motivated to collaborate closely with other statisticians and biomedical scientists to tackle emerging problems in health sciences. Please feel free to email me if you would like to collaborate.
I am looking for talented and highly motivated graduate students to work with me. If you are interested in development and application of novel statistical and machine learning methods, please do not hesitate to contact me via email.
Positions
Assistant Professor, Department of Statistics and Probability, Michigan State University, East Lansing, MI (2023 -- present)
Assistant Professor (courtesy), Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (2023 -- present)
Postdoctoral Scholar, Department of Biostatistics, University of Washington, Seattle, WA (2020 -- 2023)
Education
Ph.D. in Biostatistics, University of Michigan, Ann Arbor, MI (2020)
M.S. in Biostatistics, University of Michigan, Ann Arbor, MI (2015)
B.S. in Mathematical Statistics, Nankai University, Tianjin, China (2013)
Research Interests
Methodology: High-dimensional statistics, Machine learning, Data integration, Variable selection, Correlated (longitudinal or clustered) data analysis, Survival analysis
Applications: Multi-omics data analysis, Computational biology, Electronic health records, Health outcomes and health care services
Selected Honors and Awards
JSM Travel Award, ASA Biometrics Section (2020)
Rackham Conference Travel Award, University of Michigan (2017, 2018, 2020)
Best Performance in Ph.D. Qualifying Exam, Department of Biostatistics, University of Michigan (2015)
Best Master's Student, Department of Biostatistics, University of Michigan (2014)
Wumart Science Masters Scholarship, Nankai University (2010, 2012)
Tianjin Governmental Scholarship, Nankai University (2011)
Contact
Email: xialu {AT} msu {DOT} edu
Address: Department of Statistics and Probability, Wells Hall, 619 Red Cedar Rd, East Lansing, MI 48824