Symposium Speaker: Ruowang Li, PhD, MS

Dr. Ruowang Li is Research Associate in the Penn Institute for Biomedical Informatics at the University of Pennsylvania Perelman School of Medicine in the laboratory of Dr. Jason Moore.  Dr. Li earned his Masters in Statistics and PhD in Bioinformatics at Pennsylvania State University under the mentorship of Dr. Marylyn Ritchie.  Dr. Li's research interests broadly encompass electronic health records, genomics, bioinformatics, and biostatistics.


Recent Publications

  1. Tong, J, Duan, R, Li, R, Luo, C, Moore, JH, Zhu, J, Foster, GD, Volpp, KG, Yancy, WS, Shaw, PA et al.. Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions. Sci Rep 2023; 13 (1): 19078. PubMed PMID:37925516 PubMed Central PMC10625563.
  2. Meyer, JG, Urbanowicz, RJ, Martin, PCN, O'Connor, K, Li, R, Peng, PC, Bright, TJ, Tatonetti, N, Won, KJ, Gonzalez-Hernandez, G et al.. ChatGPT and large language models in academia: opportunities and challenges. BioData Min 2023; 16 (1): 20. PubMed PMID:37443040 PubMed Central PMC10339472.
  3. Freda, PJ, Ghosh, A, Zhang, E, Luo, T, Chitre, AS, Polesskaya, O, St Pierre, CL, Gao, J, Martin, CD, Chen, H et al.. Automated quantitative trait locus analysis (AutoQTL). BioData Min 2023; 16 (1): 14. PubMed PMID:37038201 PubMed Central PMC10088184.
  4. Freda, PJ, Ghosh, A, Zhang, E, Luo, T, Chitre, A, Polesskaya, O, St Pierre, CL, Gao, J, Martin, CD, Chen, H et al.. Automated quantitative trait locus analysis (AutoQTL). bioRxiv 2023; : . PubMed PMID:36711526 PubMed Central PMC9882220.
  5. Li, R, Duan, R, He, L, Moore, JH. Risk prediction: Methods, Challenges, and Opportunities. Pac Symp Biocomput 2023; 28 : 546-548. PubMed PMID:36541009 .
  6. Zhang, X, Li, R, Ritchie, MD. Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank. AMIA Annu Symp Proc 2020; 2020 : 1383-1391. PubMed PMID:33936514 PubMed Central PMC8075427.
  7. Li, R, Duan, R, Zhang, X, Lumley, T, Pendergrass, S, Bauer, C, Hakonarson, H, Carrell, DS, Smoller, JW, Wei, WQ et al.. Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics. Nat Commun 2021; 12 (1): 168. PubMed PMID:33420026 PubMed Central PMC7794298.
  8. Li, R, Chen, Y, Ritchie, MD, Moore, JH. Electronic health records and polygenic risk scores for predicting disease risk. Nat Rev Genet 2020; 21 (8): 493-502. PubMed PMID:32235907 .
  9. Tong, J, Duan, R, Li, R, Scheuemie, MJ, Moore, JH, Chen, Y. Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data. Pac Symp Biocomput 2020; 25 : 695-706. PubMed PMID:31797639 PubMed Central PMC6905508.
  10. Li, R, Duan, R, Kember, RL, Rader, DJ, Damrauer, SM, Moore, JH, Chen, Y. A regression framework to uncover pleiotropy in large-scale electronic health record data. J Am Med Inform Assoc 2019; 26 (10): 1083-1090. PubMed PMID:31529123 PubMed Central PMC6748812.
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