Buu Truong Email & Phone Number

Advisor: Dr. Pradeep Natarajan- Explore novel loci of hypertensive disorder of pregnancy with genome-wide association study across 12 biobanks. This work has been published in Nature Medicine (https://www.nature.com/articles/s41591-023-02374-9).- Investigate the utility of polygenic risk score (PRS) and its interaction with clinical risk factors for incident coronary artery disease.- Integrate multi-PRS and cross-trait PRS to improve prediction accuracy for non-European ancestry in… Show more Advisor: Dr. Pradeep Natarajan- Explore novel loci of hypertensive disorder of pregnancy with genome-wide association study across 12 biobanks. This work has been published in Nature Medicine (https://www.nature.com/articles/s41591-023-02374-9).- Investigate the utility of polygenic risk score (PRS) and its interaction with clinical risk factors for incident coronary artery disease.- Integrate multi-PRS and cross-trait PRS to improve prediction accuracy for non-European ancestry in All of Us and Genes and Health data.- Investigate the association of clonal hematopoiesis from whole exome sequencing data and incident lung cancer in Mass General Brigham Biobank.- Colocalization between GWAS of hypertensive disorders of pregnancy and tissue-specific gene-expression eQTL (GTEx) data.- Investigate differential signatures of metabolomic profile between cardiovascular disease with and without preexisting type 2 diabetes in the UK Biobank. Show less

Boston, Massachusetts, United States

- Mentors: Prof. Alkes Price and Prof. Liming Liang- Integrate single-cell genomics and GWAS data to understand the genetic architecture and molecular functions.- Investigate the genetic architecture of inflammatory markers and their association in obesity.

Adelaide, Australia

Advisor: Associate Professor Sang Hong Lee- Used relatedness information to improve accuracy of polygenic risk score when using 44-fold smaller sample size of close relatives compared to unrelated individuals. This work was published on Nature Communications (https://doi.org/10.1038/s41467-020-16829-x).- Develop a method to investigate genetic causality between complex traits motivated by gene-by-environment interaction analysis which helps to resolve the problems of strict assumptions… Show more Advisor: Associate Professor Sang Hong Lee- Used relatedness information to improve accuracy of polygenic risk score when using 44-fold smaller sample size of close relatives compared to unrelated individuals. This work was published on Nature Communications (https://doi.org/10.1038/s41467-020-16829-x).- Develop a method to investigate genetic causality between complex traits motivated by gene-by-environment interaction analysis which helps to resolve the problems of strict assumptions and reversed causation from Mendelian Randomization.- Simulate phenotypes based on genotype data in the UK Biobank for gene-by-environment interaction analysis from heritability and covariance structure between traits.- Assist to develop a method to estimate genetic correlation between diverse ancestries with individual genotype. Show less

Advisor: Associate Professor Thuc Duy Le- Identify gene signatures for breast cancer subtypes.- Perform causal approaches to investigate treatment response to with gene expression profile and electronic health record.- Build Bayesian network with RNA-seq data to understand causal regulatory mechanism of micro-RNA and mRNA in breast cancer.- Build algorithms to select genes to predict cell position in Drosophila embryo using single-cell RNA-seq.

Founders: Giordano Bottà, Paolo Di Domenico and George Busby.- Implement fine-mapping to identify causal variants for type 2 diabetes.- Build polygenic risk scores for type 2 diabetes in non-European ancestries leveraging functionally-informed fine-mapping panel.

Advisor: Dr. Quan Nguyen (University of Queensland) and Dr. Nam Vo (Vingroup Big Data Institute).- Simulate phenotype for different ancestries given genotypic data and heritability, genetic correlation between populations.- Build polygenic risk scores with different methods for complex trait and diseases for the Vietnamese population.

Project: Predict success rate for pregnancy of invitro fertilization.- Used machine learning methods to estimate the success rate of invitro fertilization from electronic health record data.

Japan

Biomedical Engineering Deparment. Developed and software testing of CardioVision.

Vietnam

Advisor: Assistant Professor Hannah Clapham.- Investigate epidemiology of HBV to understand the transmission of HBV.- Apply differential equation SIR model for spread of HBV to estimate the optimized impact of vaccination coverage.

Vietnam

Biomedical Engineering Department.Asthma real-time detection and prediction.

Doctor Of Philosophy - Phd

PhD in Statistical Genetics. Advisors: Alkes Price and Liming Liang

Researcher, Data Science

Data Scientist / Researcher in Statistical Genetics

Doctor Of Medicine - Md, General Practitioner

Computer Science