Mr.
CHEN Guolan Lane
WeChat:
lane13318032043
lane@connect.hku.hk & lanechenhku@gmail.com
PhD, LKS Faculty of Medicine,
The University of Hong Kong
EDUCATION
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
Additional
International Summer School, Korea
University, Seoul
06/2016-08/2016
Young Leadership Program, Sydney University, Sydney
01/2017-02/2018
International Summer School, Shanghai Jiaotong
University, Shanghai
06–07/2020
Languages and
Fluency Level
ü Mandarin & Cantonese, native
ü English, near-native
ü Spanish, intermediate
PROFESSIONAL DEVELOPMENT
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
Lab intern in
biostatistics and computational biology, Institute of Biostatistics,
Fudan University, Shanghai
R
PI: Prof. HU Yueqing 03/2018-08/2019
Student Research Assistant, Centre for Genomic Sciences, The
University of Hong Kong, Hong Kong
R PI: Prof. Pak-Chung SHAM
10/2018-04/2019
Analyst group member, GO-2.0 Consortium, International
collaborations
02/2022-present
Management Consulting Intern, IQVIA Group, Shanghai
01-04/2021
Medical Affairs
Department Intern, Genesis Med Tech Ltd., Shanghai
07-08/2021
Mentee, Mentorship Program, HK Life Science
Society, Hong Kong
2021-2023
Second Prize (as team leader), the 8th Hong Kong University Student Innovation
and Entrepreneurship Competition
05/2022
Top-20 Finalist
at startup group (as team leader), Qianhai-Guangdong-Hong Kong-Macao-Taiwan Youth Innovation and Entrepreneurship Competition
08/2022
National-level
Bronze Price (as team leader), the 7th & 8th
China
International College Students’ "Internet Plus" Innovation and
Entrepreneurship Competition
10/2021
& 09/2022
National-level
Bronze Price (as team leader), the 9th “Challenge Cup” China College
Students Entrepreneurship Competition (GBA Branch)
09/2022
Awardee of CCMF grant (100K HKD, as principal applicant), Cyberport, Hong Kong
10/2021-04/2022
Awardee of IDEATION grant (100K HKD, as principal applicant),
HKU iDendron x HKSTP, Hong Kong
05/2022-present
Incubatee of HKSTP Incubation Program (as founder of Gene to Health Limited), HKSTP, Hong Kong
09/2023-present
Skills & more
|
(mastery) |
|
|
ChatGPT &
generative AI tools |
(mastery) |
|
Bioconductor;
Linux; Web Developement; AWS Cloud Practition |
(mastery) |
|
Statistical
genetics toolkits (PLINK, REGENIE, GATK, GCTA etc.) |
(mastery) |
|
Python;
Latex; RShiny: C++; MySQL; Mathematica |
(intermediate) |
|
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 |
|
RESEARCH INTEREST
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
HONORS AND AWARDS
•
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
ACADEMIC RESEARCH
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