About me

Curriculum Vitae (Example Format)



Mr. CHEN Guolan Lane

WeChat: lane13318032043                                                                                                              

lane@connect.hku.hk & lanechenhku@gmail.com

PhD, LKS Faculty of Medicine, The University of Hong Kong


BSc in Biological Sciences (Biostatistics), School of Life Sciences, Fudan University, Shanghai

09/2015 to 06/2019

PhD (Statistical Genetics & Machine Learning), LKS Faculty of Medicine, The University of Hong Kong, Hong Kong

09/2019 to 02/2024

Supervisor: Prof. Pak Chung Sham, Co-supervisor: Dr. Dora Yan Zhang


International Summer School, Korea University, Seoul                           


Young Leadership Program, Sydney University, Sydney


International Summer School, Shanghai Jiaotong University, Shanghai                


Languages and Fluency Level

ü  Mandarin & Cantonese, native

ü  English, near-native

ü  Spanish, intermediate


Ÿ   Lab intern in bioinformatics (RNA-seq) and functional genomics, Department of Human Genetics and Anthropology, Fudan University, Shanghai

R  PI: Prof. NI Ting                                                                                                    03/2017-01/2018

Ÿ   Lab intern in biostatistics and computational biology, Institute of Biostatistics, Fudan University, Shanghai

R  PI: Prof. HU Yueqing                                                                                            03/2018-08/2019

Ÿ   Student Research Assistant, Centre for Genomic Sciences, The University of Hong Kong, Hong Kong

R   PI: Prof. Pak-Chung SHAM                                                                                  10/2018-04/2019

Ÿ   Analyst group member, GO-2.0 Consortium, International collaborations


Ÿ   Management Consulting Intern, IQVIA Group, Shanghai


Ÿ   Medical Affairs Department Intern, Genesis Med Tech Ltd., Shanghai


Ÿ   Mentee, Mentorship Program, HK Life Science Society, Hong Kong


Ÿ   Second Prize (as team leader), the 8th Hong Kong University Student Innovation and Entrepreneurship Competition


Ÿ   Top-20 Finalist at startup group (as team leader), Qianhai-Guangdong-Hong Kong-Macao-Taiwan Youth Innovation and Entrepreneurship Competition


Ÿ   National-level Bronze Price (as team leader), the 7th & 8th China International College Students’ "Internet Plus" Innovation and Entrepreneurship Competition

10/2021 & 09/2022

Ÿ   National-level Bronze Price (as team leader), the 9th “Challenge Cup” China College Students Entrepreneurship Competition (GBA Branch)


Ÿ   Awardee of CCMF grant (100K HKD, as principal applicant), Cyberport, Hong Kong


Ÿ   Awardee of IDEATION grant (100K HKD, as principal applicant), HKU iDendron x HKSTP, Hong Kong


Ÿ   Incubatee of HKSTP Incubation Program (as founder of Gene to Health Limited), HKSTP, Hong Kong



Skills & more

R programming-based computational statistics & data science


ChatGPT & generative AI tools


Bioconductor; Linux; Web Developement; AWS Cloud Practition


Statistical genetics toolkits (PLINK, REGENIE, GATK, GCTA etc.)


Python; Latex; RShiny: C++; MySQL; Mathematica


Expertise in graphical design, multi-channel media promotion (e.g. WeChat Page, YouTube)

Experience in CFA (level I), Chinese CPA, macroeconomic analytics, biotech & healthcare investment



Methodology and theory in statistical genetics

ü  Multivariate penalized regression & Bayesian shrinkage methods on genetic fine mapping

ü  Profiling multi-variate genetic architecture and estimating genetic-effect matrix distribution

Machine learning and applications to biomedical data

ü  GWAS data mining: matrix factorization, gene prioritization, functional inference

ü  Polygenic prediction: regularized estimators and translational studies in psychiatry

Bioinformatics and genetic epidemiology of complex disease

ü  Longitudinal multivariate data analysis for HK Spine Cohort (multi-trait, GWAS, WES etc.)

ü  Selection bias in Biobank studies & robustness in Mendelian Randomization

ü  Survival analysis of arbitrarily censored data


        Second-tier Scholarship for Academic Excellence, Fudan University, 2017 & 2018

        Thermo Fisher STEM Scholarship, Fudan University, 2017 & 2018

        Soh Bing Scholarship, Soh Bing Scholarship Foundation (HK), Shanghai, 2018, 2019, 2020 & 2021


1.       YN LI, YQ Wang, LG CHEN*, YQ HU. Serial number estimation with an unknown minimum. Journal of Fudan University (Natural Science). 2018.

2.       YM Li, LG Chen*, …, KSE Cheah, PC Sham. Natural history, genetics and symptoms of lumbar disc degeneration in a population cohort. The Spine Journal. 2021

3.       JD Tubbs, LG Chen* (co-first author), TQ Thach, PC Sham. Improved non-parametric penalized maximum likelihood estimation for arbitrarily censored survival data. Statistics in Medicine. 2022

4.       LG Chen*, DY Zhang, PC Sham. Incorporating Genetic Architecture into Model Selection of Penalized Regression and Bayesian Shrinkage Methods for GWAS Data. (pre-print on arXiv, submitted to Frontiers in Genetics). 2022

5.       LG Chen*, …, KSE Cheah, PC Sham. ITGA9, a novel gene associated with lumbar disc degeneration (pre-print on medRXiv). 2022

6.       LG Chen*, JD Tubbs, TQ Thach, DY Zhang, PC Sham. Identifying functionally-related SNPs and genes from phenome-wide genetic-effect correlations using GWAS summary statistics (pre-print on bioRxiv, poster presentation at ASHG 2022, submitted to Nature Genetics). 2023

7.       LG Chen*, TQ Thach, PC Sham. Quantifying pleiotropy and functionally importance of SNPs from phenome-wide heritability enrichment estimates using GWAS summary statistics (pre-print on bioRXiv, poster presentation at ICHG 2023, ASHG 2023). 2023

8.       LG Chen*, JD Tubbs, ZP Liu, TQ Thach, PC Sham. Mendelian Randomization: causal inference leveraging genetic data. Psychology Medicine. 2024