Lim Lee Jin (PhD)

Instructor - Master of Science in Precision Health and Medicine
Lim Lee Jin (PhD)

Affiliation

Instructor, Department of Biochemistry, Yong Loo Lin School of Medicine, NUS

Course Director, Master of Science in Precision Health and Medicine

Biodata

Lee Jin obtained her BSc (Hons) at the University of Edinburgh and PhD at the National University of Singapore. She was previously a postdoctoral research fellow at the Department of Biochemistry before joining the department as an instructor. Her PhD research focuses on clinically relevant long non-coding RNAs in cancer pathways and gain insights into their potential impacts on clinical characteristics. During her postdoctoral training, her research focuses on improving healthcare through precision medicine. She analysed big data to identify snps and/or clinical characteristics signatures that potentially predict treatment responses using machine learning, which led to publications in Rheumatology (IF: 7) and EBioMedicine (IF: 11).

Education

Degree and Institution Year(s)
PhD, Department of Biochemistry, Yong Loo Lin School of Medicine, NUS 2016 – 2020
BSc (Hons) Biotechnology, University of Edinburgh, United Kingdom 2011 – 2014

Professional Experience

Position and Institution Year(s)
Instructor, Department of Biochemistry, Yong Loo Lin School of Medicine, NUS 2022 – Present
Research Fellow, Department of Biochemistry, Yong Loo Lin School of Medicine, NUS 2020 – 2022

Selected Publications

# correspondence; * equal contribution

  1. Lim AJW, Tyniana CT, Lim LJ, Tan JWL, Koh ET; TTSH Rheumatoid Arthritis Study Group; Chong SS, Khor CC, Leong KP, Lee CG. Robust SNP-based prediction of rheumatoid arthritis through machine-learning-optimized polygenic risk score. J Transl Med. 2023 Feb 7;21(1):92. doi: 10.1186/s12967-023-03939-5.
  2. Lim AJW*, Lim LJ*, Ooi BNS, Koh ET, Tan JWL; TTSH RA Study Group; Chong SS, Khor CC, Tucker-Kellogg L, Leong KP, Lee CG. Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients. EBioMedicine. 2022 Jan;75:103800. doi: 10.1016/j.ebiom.2021.103800. Epub 2022 Jan 10.
  3. Lim LJ*, Lim AJW*, Ooi BNS, Tan JWL, Koh ET; TTSH Rheumatoid Arthritis Study Group; Chong SS, Khor CC, Tucker-Kellogg L, Lee CG, Leong KP. Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis. Rheumatology (Oxford). 2022 Oct 6;61(10):4175-4186. doi: 10.1093/rheumatology/keac032.
  4. Lim LJ*, Lim AJW*, Fong KK*, Lee CG. Sentiments Regarding COVID-19 Vaccination among Graduate Students in Singapore. Vaccines (Basel). 2021 Oct 6;9(10):1141. doi: 10.3390/vaccines9101141.
  5. Lim LJ, Ling LH, Neo YP, Chung AYF, Goh BKP, Chow PKH, Chan CY, Cheow PC, Lee SY, Lim TKH, Chong SS, Ooi LLPJ, Lee CG. Highly deregulated lncRNA LOC is associated with overall worse prognosis in Hepatocellular Carcinoma patients. J Cancer. 2021 Mar 30;12(11):3098-3113. doi: 10.7150/jca.56340.
  6. Lim LJ, Jin Y, Yang H, Chung AYF, Goh BKP, Chow PKH, Chan CY, Blanks WK, Cheow PC, Lee SY, Lim TKH, Chong SS, Ooi LLPJ, Lee CG. Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients. Sci Rep. 2020 Jul 7;10(1):11124. doi: 10.1038/s41598-020-67742-8.
  7. Lim LJ, Wong SYS, Huang F, Lim S, Chong SS, Ooi LL, Kon OL, Lee CG. Roles and Regulation of Long Noncoding RNAs in Hepatocellular Carcinoma. Cancer Res. 2019 Oct 15;79(20):5131-5139. doi: 10.1158/0008-5472.CAN-19-0255. Epub 2019 Jul 23. PMID: 31337653.
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