Professor | Lan Liu | Asia Growth Partners

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Name	Lan Liu
Contact Information	liulan1815@outlook.com
Language ability	Chinese, English
Province	Beijing

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Name

Lan Liu

Contact Information

liulan1815@outlook.com

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	Capital Medical University
Faculty	Brain Disorders
Academic Background & Achievements	2006.09—2010.06 Bachelor: University of Science and Technology of China, Mathematics 2010.08—2013.06 PhD: University of North Carolina at Chapel Hill, Biostatistics 2011.09 - 2015.07 Bachelor: Shandong University of Science and Technology
Work Experience	2024.06 - Present - Capital Medical Science Innovation Center - Senior Researcher 2024.06 - Present - Capital Medical University - Professor 2024.06 - Present - Beijing Institute for Brain Disorders - Professor 2021.09 - 2024.05 - University of Minnesota, Department of Statistics - Associate Professor with tenure 2015.08 - 2021.08 - University of Minnesota, Department of Statistics - Assistant Professor 2013.07 - 2015.07 - Harvard University, Department of Biostatistics and Epidemiology - Postdoctoral Researcher
Awards	International Chinese Statistical Association Student Paper Award (2013): International Chinese Statistical Association ORISE Fellowship (2012): U.S. Food and Drug Administration Outstanding Student Scholarship (2006-2009): University of Science and Technology of China

University/Lab Affiliation and Title

Capital Medical University

Faculty

Brain Disorders

Academic Background & Achievements

2006.09—2010.06 Bachelor: University of Science and Technology of China, Mathematics
2010.08—2013.06 PhD: University of North Carolina at Chapel Hill, Biostatistics
2011.09 - 2015.07 Bachelor: Shandong University of Science and Technology

Work Experience

2024.06 - Present - Capital Medical Science Innovation Center - Senior Researcher
2024.06 - Present - Capital Medical University - Professor
2024.06 - Present - Beijing Institute for Brain Disorders - Professor
2021.09 - 2024.05 - University of Minnesota, Department of Statistics - Associate Professor with tenure
2015.08 - 2021.08 - University of Minnesota, Department of Statistics - Assistant Professor
2013.07 - 2015.07 - Harvard University, Department of Biostatistics and Epidemiology - Postdoctoral Researcher

Awards

International Chinese Statistical Association Student Paper Award (2013): International Chinese Statistical Association
ORISE Fellowship (2012): U.S. Food and Drug Administration
Outstanding Student Scholarship (2006-2009): University of Science and Technology of China

Areas of Focus	Statistical Methodology: Causal Inference, Missing Data, Sufficient Dimension Reduction Clinical Trials: Design and Statistical Analysis High-Dimensional Data: Sufficient Dimension Reduction
Publications	Large Sample Randomization Inference of Causal Effects in the Presence of Interference, L. Liu, M. G. Hudgens, 2014 On Inverse Probability Weighted Estimators in the Presence of Interference, L. Liu, M. G. Hudgens, S. Becker-Dreps, 2016 Partial least squares for simultaneous reduction of response and predictor vectors in regression, D. R. Cook, L. Forzani, L. Liu, 2023 The Efficiency Boosting via Envelope Chain for task-invoked fMRI study, L. Liu, W. Li, Z. Su, D. R. Cook, L. Vizioli, E. Yacoub, 2021 Demystifying a Class of Multiple Robust Estimators, W. Li, Y. Gu, L. Liu, 2020 Indirect Adjustment for Homophily Bias with a Negative Control Variable in Peer Effect Analysis, L. Liu, E. Tchetgen Tchetgen, 2021 Normobaric Hyperoxia Combined With Endovascular Treatment Based on Temporal Gradient: A Dose-Escalation Study, W. Li, S. Wang, L. Liu, J. Chen, J. Lan, J. Ding, Z. Chen, S. Yuan, Z. Qi, M. Wei, X. Ji, 2024 Safety and Efficacy of Intravenous Tirofiban for Early Neurological Deterioration Prevention in Patients with Acute Ischemic Stroke (TREND), W. Zhao, S. Li, C. Li, C. Wu, J. Wang, L. Xing, Y. Wan, J. Qin, Y. Xu, R. Wang, C. Wen, A. Wang, L. Liu, J. Wang, H. Song, W. Feng, Q. Ma, X. Ji, 2024 Current status and outlook of biodegradable metals in neuroscience and their potential applications as cerebral vascular stent materials, Li M, Jiang M, Gao Y, Zheng Y, Liu Z, Zhou C, et al., 2022 Trends and hotspots of the neuroprotection of hypothermia treatment: A bibliometric and visualized analysis of research from 1992 to 2023, Zhang Y, Jiang M, Baoying S, Gao Y, Xu Y, Qi Z, et al., 2024

Areas of Focus

Statistical Methodology: Causal Inference, Missing Data, Sufficient Dimension Reduction
Clinical Trials: Design and Statistical Analysis
High-Dimensional Data: Sufficient Dimension Reduction

Publications

Large Sample Randomization Inference of Causal Effects in the Presence of Interference, L. Liu, M. G. Hudgens, 2014
On Inverse Probability Weighted Estimators in the Presence of Interference, L. Liu, M. G. Hudgens, S. Becker-Dreps, 2016
Partial least squares for simultaneous reduction of response and predictor vectors in regression, D. R. Cook, L. Forzani, L. Liu, 2023
The Efficiency Boosting via Envelope Chain for task-invoked fMRI study, L. Liu, W. Li, Z. Su, D. R. Cook, L. Vizioli, E. Yacoub, 2021
Demystifying a Class of Multiple Robust Estimators, W. Li, Y. Gu, L. Liu, 2020
Indirect Adjustment for Homophily Bias with a Negative Control Variable in Peer Effect Analysis, L. Liu, E. Tchetgen Tchetgen, 2021
Normobaric Hyperoxia Combined With Endovascular Treatment Based on Temporal Gradient: A Dose-Escalation Study, W. Li, S. Wang, L. Liu, J. Chen, J. Lan, J. Ding, Z. Chen, S. Yuan, Z. Qi, M. Wei, X. Ji, 2024
Safety and Efficacy of Intravenous Tirofiban for Early Neurological Deterioration Prevention in Patients with Acute Ischemic Stroke (TREND), W. Zhao, S. Li, C. Li, C. Wu, J. Wang, L. Xing, Y. Wan, J. Qin, Y. Xu, R. Wang, C. Wen, A. Wang, L. Liu, J. Wang, H. Song, W. Feng, Q. Ma, X. Ji, 2024
Current status and outlook of biodegradable metals in neuroscience and their potential applications as cerebral vascular stent materials, Li M, Jiang M, Gao Y, Zheng Y, Liu Z, Zhou C, et al., 2022
Trends and hotspots of the neuroprotection of hypothermia treatment: A bibliometric and visualized analysis of research from 1992 to 2023, Zhang Y, Jiang M, Baoying S, Gao Y, Xu Y, Qi Z, et al., 2024

Causal Inference Missing Data Dimension Reduction Clinical Trials Statistical Analysis High-Dimensional Data Epidemiology Biostatistics Data Science Machine Learning

Su Hang Shang - Capital Medical University

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