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Buu Truong is listed as PhD student in Statistical Genetics at Harvard T.H. Chan School of Public Health at Broad Institute of MIT and Harvard, a company with 2585 employees, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at broadinstitute.org and a matched LinkedIn profile for Buu Truong.
Buu Truong previously worked as Computational Biologist II at Broad Institute Of Mit And Harvard and PHD Student at Harvard T.H. Chan School Of Public Health. Buu Truong holds Doctor Of Philosophy - Phd from Harvard T.H. Chan School Of Public Health.
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My primary research focus on developing statistical methods for genomic studies and exploration of genetic architecture such as genome-wide association study, polygenic risk scores, gene-by-environment analysis, RNA-Seq, and single-cell RNA-Seq analysis. I am also interested in machine learning algorithms and causal inference methods such as Bayesian network construction, potential outcome model, and matching algorithms.For a brief profile, please see:My website: https://buutrg.github.io/My CV: https://bit.ly/3LV5QRuMy publications: https://scholar.google.com.au/citations?hl=en&user=e8cttx0AAAAJ
Listed skills include Medicine, R, Matlab, C++, and 4 others.
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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.
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.
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.
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.
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Neha Saravanan
Colleague at Broad Institute Of Mit And Harvard
Acton, Massachusetts, United States, United States
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Keenan Holmes
Colleague at Broad Institute Of Mit And Harvard
Providence, Rhode Island, United States, United States
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Ben Schmandt
Colleague at Broad Institute Of Mit And Harvard
Winchester, Massachusetts, United States, United States
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Alondra Millan
Colleague at Broad Institute Of Mit And Harvard
Watertown, Massachusetts, United States, United States
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Marlene Andrade
Colleague at Broad Institute Of Mit And Harvard
Greater Boston, United States
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Samantha Garcia
Colleague at Broad Institute Of Mit And Harvard
Carlisle, Pennsylvania, United States, United States
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Robert Plano
Colleague at Broad Institute Of Mit And Harvard
Dallas-Fort Worth Metroplex, United States
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Sara Wills
Colleague at Broad Institute Of Mit And Harvard
Boston, Massachusetts, United States, United States
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Robert Majovski
Colleague at Broad Institute Of Mit And Harvard
Cambridge, Massachusetts, United States, United States
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Chris Greaves
Colleague at Broad Institute Of Mit And Harvard
United States, United States
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PhD in Statistical Genetics. Advisors: Alkes Price and Liming Liang
Data Scientist / Researcher in Statistical Genetics
Quick answers generated from the profile data available on this page.
Buu Truong works for Broad Institute of MIT and Harvard.
Buu Truong is listed as PhD student in Statistical Genetics at Harvard T.H. Chan School of Public Health at Broad Institute of MIT and Harvard.
AeroLeads has found 1 work email signal at @broadinstitute.org for Buu Truong at Broad Institute of MIT and Harvard.
Buu Truong is based in Cambridge, Massachusetts, United States while working with Broad Institute of MIT and Harvard.
Buu Truong has worked for Broad Institute Of Mit And Harvard, Harvard T.H. Chan School Of Public Health, Sahmri, University Of South Australia, and Allelica, Inc.
Buu Truong's colleagues at Broad Institute of MIT and Harvard include Neha Saravanan, Keenan Holmes, Ben Schmandt, Alondra Millan, and Marlene Andrade.
You can use AeroLeads to view verified contact signals for Buu Truong at Broad Institute of MIT and Harvard, including work email, phone, and LinkedIn data when available.
Buu Truong holds Doctor Of Philosophy - Phd from Harvard T.H. Chan School Of Public Health.
Buu Truong is listed with skills including Medicine, R, Matlab, C++, Bioinformatics, Bioconductor, Linux, and Computational Mod.
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