Zilin Li, PhD
Assistant Professor of Biostatistics & Health Data Science
Bio
Zilin Li is an Assistant Professor in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine. Before being an assistant professor, I was a research scientist, research associate, and postdoctoral research fellow in Professor Xihong Lin’s lab in the Department of Biostatistics at Harvard T.H. Chan School of Public Health. I received my Ph.D. from Tsinghua University in 2016. My research interests lie in statistical genetics and high-dimensional statistics with applications for analyzing massive health data, especially developing statistical methods for scalable analysis of large-scale genetics and genomics data.
Key Publications
*Indicates equal contribution as first authors. #Indicates joint correspondence as corresponding authors.
1. Li, Z., Liu, Y., Lin X. (2022). Simultaneous detection of signal regions using quadratic scan statistics with applications in whole genome association studies. Journal of American Statistical Association, 117(538), 823-834.
2. Li, Z.*#, Li, X.*, Zhou, H., Gaynor, S.M., Selvaraj, M., Arapoglou, T., Quick, C., Liu, Y., Chen, H., Sun, R., Dey, R., Arnett D., Auer, P., Bielak, L., Bis, J., Blackwell, T., Blangero, J., Boerwinkle, E., Bowden, D., Brody, J., Cade, B., Conomos, M., Correa, A., Cupples, L.A., Curran, J., De Vries, P., Duggirala, R., Franceschini, N., Freedman, B., Goring, H., Guo, X., Kalyani, R., Kooperberg, C., Kral, B., Lange, L., Lin, B., Manichaikul, A., Manning, A., Martin, L., Mathias, R., Mitchell, B., Montasser, M., Morrison, A., Naseri, T., O’Connell, J., Palmer, N., Peyser, P., Psaty, B., Raffield, L., Redline, S., Reiner, A., Reupena, M., Rice, K., Rich, S., Smith, J., Taylor, K., Taub, M., Vasan, R., Week, D., Wilson, J., Yanek, L., Zhao, W., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Rotter, J., Willer, C., Natarajan, P., Peloso, G., Lin, X.# (2022+). A framework for detecting noncoding rare variant associations of large-scale whole-genome sequencing studies. Nature Methods, accepted.
3. Li, X., Quick, C., Zhou, H., Gaynor, S., Liu, Y., Chen, H., Selvaraj, M., Sun, R., Dey, R., Arnett D., Bielak, L., Bis, J., Blangero, J., Boerwinkle, E., Bowden, D., Brody, J., Cade, B., Correa, A., Cupples, L.A., Curran, J., De Vries, P., Duggirala, R., Freedman, B., Goring, H., Guo, X., Haessler, J., Kalyani, R., Kooperberg, C., Kral, B., Lange, L., Manichaikul, A., Martin, L., McGarvey, S., Mitchell, B., Montasser, M., Morrison, A., Naseri, T., O’Connell, J., Palmer, N., Peyser, P., Psaty, B., Raffield, L., Redline, S., Reiner, A., Reupena, M., Rice, K., Rich, S., Sitlani, C., Smith, J., Taylor, K., Vasan, R., Wilson, J., Willer, C., Yanek, L., Zhao, W., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Rotter, J., Natarajan, P., Peloso, G., Li, Z.#, Lin, X.# (2022+). Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole-genome sequencing studies. Nature Genetics, accepted.
4. Li, X.*, Li, Z.*, Zhou, H., Gaynor, S.M., Liu, Y., Chen, H., Sun, R., Dey, R., Arnett, D.K., Aslibekyan, S., Ballantyne, C.M., Bielak, L.F., Blangero, J., Boerwinkle, E., Bowden, D.W., Broome, J.G., Conomos, M.P., Correa, A., Cupples, L.A., Curran, J.E., Freedman, B.I., Guo, X., Hindy, G., Irvin, M.R., Kardia, S.L.R., Kathiresan, S., Khan, A.T., Kooperberg, C.L., Laurie, C.C., Liu, X.S., Mahaney, M.C., Manichaikul, A.W., Martin, L.W., Mathias, R.A., McGarvey, S.T., Mitchell, B.D., Montasser, M.E., Moore, J.E., Morrison, A.C., O’Connell, J.R., Palmer, N.D., Pampana, A., Peralta, J.M., Peyser, P.A., Psaty, B.M., Redline, S., Rice, K.M., Rich, S.S., Smith, J.A., Tiwari, H.K., Tsai, M.Y., Vasan, R.S., Wang, F.F., Weeks, D.E., Weng, Z., Wilson, J.G., Yanek, L.R., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Neale, B.M., Sunyaev, S.R., Abecasis, G.R., Rotter, J.I., Willer, C.J., Peloso, G.M., Natarajan, P., Lin, X. (2020). Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nature Genetics, 52(9), 969-983.
5. Li, Z., Li, X., Liu, Y., Shen, J., Chen, H., Zhou, H., Morrison, A.C., Boerwinkle, E., & Lin, X. (2019). Dynamic scan procedure for detecting rare-variant association regions in whole-genome sequencing studies. The American Journal of Human Genetics, 104(5), 802-814.
1. Li, Z., Liu, Y., Lin X. (2022). Simultaneous detection of signal regions using quadratic scan statistics with applications in whole genome association studies. Journal of American Statistical Association, 117(538), 823-834.
2. Li, Z.*#, Li, X.*, Zhou, H., Gaynor, S.M., Selvaraj, M., Arapoglou, T., Quick, C., Liu, Y., Chen, H., Sun, R., Dey, R., Arnett D., Auer, P., Bielak, L., Bis, J., Blackwell, T., Blangero, J., Boerwinkle, E., Bowden, D., Brody, J., Cade, B., Conomos, M., Correa, A., Cupples, L.A., Curran, J., De Vries, P., Duggirala, R., Franceschini, N., Freedman, B., Goring, H., Guo, X., Kalyani, R., Kooperberg, C., Kral, B., Lange, L., Lin, B., Manichaikul, A., Manning, A., Martin, L., Mathias, R., Mitchell, B., Montasser, M., Morrison, A., Naseri, T., O’Connell, J., Palmer, N., Peyser, P., Psaty, B., Raffield, L., Redline, S., Reiner, A., Reupena, M., Rice, K., Rich, S., Smith, J., Taylor, K., Taub, M., Vasan, R., Week, D., Wilson, J., Yanek, L., Zhao, W., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Rotter, J., Willer, C., Natarajan, P., Peloso, G., Lin, X.# (2022+). A framework for detecting noncoding rare variant associations of large-scale whole-genome sequencing studies. Nature Methods, accepted.
3. Li, X., Quick, C., Zhou, H., Gaynor, S., Liu, Y., Chen, H., Selvaraj, M., Sun, R., Dey, R., Arnett D., Bielak, L., Bis, J., Blangero, J., Boerwinkle, E., Bowden, D., Brody, J., Cade, B., Correa, A., Cupples, L.A., Curran, J., De Vries, P., Duggirala, R., Freedman, B., Goring, H., Guo, X., Haessler, J., Kalyani, R., Kooperberg, C., Kral, B., Lange, L., Manichaikul, A., Martin, L., McGarvey, S., Mitchell, B., Montasser, M., Morrison, A., Naseri, T., O’Connell, J., Palmer, N., Peyser, P., Psaty, B., Raffield, L., Redline, S., Reiner, A., Reupena, M., Rice, K., Rich, S., Sitlani, C., Smith, J., Taylor, K., Vasan, R., Wilson, J., Willer, C., Yanek, L., Zhao, W., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Rotter, J., Natarajan, P., Peloso, G., Li, Z.#, Lin, X.# (2022+). Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole-genome sequencing studies. Nature Genetics, accepted.
4. Li, X.*, Li, Z.*, Zhou, H., Gaynor, S.M., Liu, Y., Chen, H., Sun, R., Dey, R., Arnett, D.K., Aslibekyan, S., Ballantyne, C.M., Bielak, L.F., Blangero, J., Boerwinkle, E., Bowden, D.W., Broome, J.G., Conomos, M.P., Correa, A., Cupples, L.A., Curran, J.E., Freedman, B.I., Guo, X., Hindy, G., Irvin, M.R., Kardia, S.L.R., Kathiresan, S., Khan, A.T., Kooperberg, C.L., Laurie, C.C., Liu, X.S., Mahaney, M.C., Manichaikul, A.W., Martin, L.W., Mathias, R.A., McGarvey, S.T., Mitchell, B.D., Montasser, M.E., Moore, J.E., Morrison, A.C., O’Connell, J.R., Palmer, N.D., Pampana, A., Peralta, J.M., Peyser, P.A., Psaty, B.M., Redline, S., Rice, K.M., Rich, S.S., Smith, J.A., Tiwari, H.K., Tsai, M.Y., Vasan, R.S., Wang, F.F., Weeks, D.E., Weng, Z., Wilson, J.G., Yanek, L.R., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Neale, B.M., Sunyaev, S.R., Abecasis, G.R., Rotter, J.I., Willer, C.J., Peloso, G.M., Natarajan, P., Lin, X. (2020). Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nature Genetics, 52(9), 969-983.
5. Li, Z., Li, X., Liu, Y., Shen, J., Chen, H., Zhou, H., Morrison, A.C., Boerwinkle, E., & Lin, X. (2019). Dynamic scan procedure for detecting rare-variant association regions in whole-genome sequencing studies. The American Journal of Human Genetics, 104(5), 802-814.
Titles & Appointments
- Assistant Professor of Biostatistics & Health Data Science
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Education
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Research
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Awards
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