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. 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.
  2. 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.
  3. 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 .
  4. 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.
  5. 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.
  6. Li, R, Chen, Y, Moore, JH. Integration of genetic and clinical information to improve imputation of data missing from electronic health records. J Am Med Inform Assoc 2019; 26 (10): 1056-1063. PubMed PMID:31329892 PubMed Central PMC6748821.
  7. Li, R, Kim, D, Wheeler, HE, Dudek, SM, Dolan, ME, Ritchie, MD. Integration of genetic and functional genomics data to uncover chemotherapeutic induced cytotoxicity. Pharmacogenomics J 2019; 19 (2): 178-190. PubMed PMID:29795408 .
  8. Verma, SS, Lucas, A, Zhang, X, Veturi, Y, Dudek, S, Li, B, Li, R, Urbanowicz, R, Moore, JH, Kim, D et al.. Collective feature selection to identify crucial epistatic variants. BioData Min 2018; 11 : 5. PubMed PMID:29713383 PubMed Central PMC5907720.
  9. Li, R, Kim, D, Ritchie, MD. Methods to analyze big data in pharmacogenomics research. Pharmacogenomics 2017; 18 (8): 807-820. PubMed PMID:28612644 .
  10. Kim, D, Li, R, Lucas, A, Verma, SS, Dudek, SM, Ritchie, MD. Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J Am Med Inform Assoc 2017; 24 (3): 577-587. PubMed PMID:28040685 PubMed Central PMC5391734.
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Dr. Ruowang Li on Twitter

I am excited to announce that I have accepted a position of Assistant Professor in the Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles. Soon, I will be recruiting talented scientists to join me on this exciting journey!cedars-sinai.org/about.html

I am hiring a software engineer to develop & lead a team of 3-5 coders to develop automated machine learning methods & software for biomedical research. AI/ML exp preferred. Please RT! Apply here jobs.cedars-sinai.edu/job/los-angele… #automl #bioinformatics #datascience Retweeted by Ruowang Li, PhD

@MarylynRitchie Congratulations Marylyn! This is amazing!

Congratulations Marylyn!! twitter.com/MarylynRitchie…

Nice! I will download and try it out. twitter.com/jtleek/status/…

"We categorised a continuous variable, then entered the categorised variable as a continuous variable in our regression model." Very cool. Retweeted by Ruowang Li, PhD

The Cava lab is up and running! We're recruiting a post-doc to study the interpretabilty and fairness of clinical ML models. Please share! cavalab.org/postdoctoral_f… Retweeted by Ruowang Li, PhD

The extent and impact of mislabeled test-set data in ML is astounding. Apparent model improvement is often via better fitting of test errors. New method for efficiently finding errors in large test sets. We need to apply this to biomedical datasets arxiv.org/pdf/2103.14749… Retweeted by Ruowang Li, PhD

Agree. But PRS research is just getting started. It should have more clinical impact in the future. twitter.com/amit_sud/statu…

I’m safe on Mars. Perseverance will get you anywhere. #CountdownToMars Retweeted by Ruowang Li, PhD

Recalibrating the Use of Race in Medical Research ja.ma/3cep96Y via @JAMA_current part of @JAMANetwork

Our new paper with Rui Duan, @MarylynRitchie @chenyong1203, and @moorejh on "Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics" has been published by @NatureComms disq.us/t/3u1r2u8

Lessons Learned from Bugs in Models of Human History sciencedirect.com/science/articl… The differences in PRS between populations are not as large as reported before.

MIT's class on Machine Learning in Healthcare is now available for free on MIT's OpenCourseWare! All videos, slides, and lecture notes can be found here: ocw.mit.edu/courses/electr… youtube.com/playlist?list=… Retweeted by Ruowang Li, PhD

2009: done with undergrad, time to get a job! news: *world-wide economic collapse* 2020: done with post doc, time to be a professor! news: science.sciencemag.org/content/370/65… Retweeted by Ruowang Li, PhD