About

I am currently a fifth-year PhD student in Statistics at Rice University. I am fortunate to be jointly advised by Prof. Marek Kimmel from Rice and Dr. Wenyi Wang from MD Anderson Cancer Center. Before coming to Rice, I spent a few years in the UK, working towards a BSc in Mathematics at Imperial College London and an MPhil in Finance at University of Cambridge.

I often describe myself as "50% statistician, 30% mathematician and 20% computer scientist". Part of my research focuses on the use of statistical/mathematical models (e.g. branching process) to model population dynamics in biology. One example is the progression of cancer cells in malignant tumors. I am also interested in the combination of modern statistical and computational tools to tackle "big data" problems in biomedical science. I am developing a Bayesian semi-parametric joint model, capable of modeling multiple primary cancers as well as competing risks from multiple cancer types, for accurate personalized cancer risk prediction.

My contacts and resume can be found at the bottom of this page.

Skills

Summary

Apart from my passion for Mathematics and Statistics, I am also an enthusiastic programmer. I had formal training in R and MATLAB (and a little C++). Others were acquired through self-learning. I believe that strong programming skills are an integral part of a modern statistician.

Technical

R
SQL
LaTeX
Presto
Python
Mathematica
MATLAB
SAS
git
Snowflake
Linux
Projects
Featured All
Publications
  • Nam H Nguyen, Jessica L Corredor, Wenyi Wang et al, "Personalized cancer-type-specific prediction of the second primary malignancy in multi-center cohorts affected by the Li-Fraumeni Syndrome: an external validation study" (in preparation)
  • Jessica L Corredor, Elissa B Dodd-Eaton, Jacynda Woodman-Ross, Ashley Woodson, Nam H Nguyen et al, "Performance of LFSPRO TP53 germline carrier risk predictions compared to standard genetic counseling practice on prospectively collected probands" (in preparation)
  • Nam H Nguyen, Seung J Shin, Elissa B Dodd-Eaton, Jing Ning, Wenyi Wang, "Personalized risk prediction for cancer survivors: a Bayesian semi-parametric recurrent event model with competing outcomes" (in preparation)
  • Nam H Nguyen, Elissa B Dodd-Eaton, Jessica L Corredor et al, "Validating risk prediction models for multiple primaries and competing cancer outcomes in families with Li-Fraumeni syndrome using clinically ascertained data at a single institute", accepted at the Journal of Clinical Oncology, 2024
  • Nam H Nguyen, Elissa B Dodd-Eaton, Gang Peng et al, "LFSPROShiny: an interactive R/Shiny app for prediction and visualization of cancer risks in families with deleterious germline TP53 mutations", JCO Clinical Cancer Informatics, 2024
  • Nam H Nguyen, M Kimmel, "Stochastic Models of Stem Cells and Their Descendants under Different Criticality Assumptions", Stochastic Models, 2022
  • P Bui Quang, T Klein, Nam H Nguyen, T Walther, "Value-at-Risk for South-East Asian Stock Markets: Stochastic Volatility vs. GARCH", Journal of Risk and Financial Management
Presentations
  • Vietnam Education Foundation (VEF) Conference, San Diego (2022) . "Bayesian Estimation of a Semi-parametric Recurrent Event Model of Multiple Cancer Types for Personalized Risk Prediction in Cancer Survivors". Poster presentation.
  • Joint Statistical Meeting (JSM), Washington DC (2022) . "Bayesian Estimation of a Semi-parametric Recurrent Event Model of Multiple Cancer Types for Personalized Risk Prediction in Cancer Survivors". Oral presentation.
  • ClinGen Meeting, virtual (2021) . "Bayesian Estimation of a Joint Semi-parametric Recurrent Event Model of Multiple Cancer Types with Applications to the Li-Fraumeni Syndrome". Poster presentation.
  • ENAR, virtual (2020) . "Branching Process Models of Mutations with Applications to Evolution of Cancer". Oral presentation.
  • Rice Data Science Workshop, Rice University (2020) . "Air Pollution During the Covid-19 Pandemic". Oral presentation.
  • Rice Data Science Workshop, Rice University (2019) . "Statistical Learning With Applications To Asteroid Data". Poster presentation.
Awards
  • ASA Best Student Paper Award (2023) - American Statistical Association.
  • ASA Best Student Paper Award (2022) - American Statistical Association.
  • VEF 2.0 Highly Recommended Candidate (2019) - Vietnam Education Foundation.
  • IMA Prize (2015) - Institute of Mathematics and its Applications.
  • CIFE Award (2013): Top-performing A-level students in the UK.
  • Netcraft Prize (2012): Top 50 A-level Computer Science students in the UK.
  • Royal Society of Chemistry Award (2011): Top 17 A-level Chemistry students in the UK.
  • Gold Certificate, Senior Maths Challenge (2010, 2011) - United Kingdom Mathematics Trust
Contact

My Rice email address is hn17@rice.edu. For networking and collaboration, please contact me on LinkedIn.

A short version of my resume is available here: PDF