Huyen N. Nguyen

Harvard Medical School
Department of Biomedical Informatics

Welcome!

Hi, I'm Huyen! I'm a Research Fellow in Biomedical Informatics in the HIDIVE Lab, Department of Biomedical Informatics at Harvard Medical School. My work involves developing visualization systems to efficiently explore and interact with genomics and nucleomics data.

I received my PhD in Computer Science from Texas Tech University, with my doctoral studies focusing on interactive time-series visualizations, spanning both quantitative and qualitative data. I led the development of WordStream, a visualization dedicated for presenting evolution of topics over time, in multiple formats: as an interactive tool, a JavaScript library, and a no-code platform.

I love teaching and have been teaching Data Structures Lab sessions for undergraduate students since 2021. I am looking forward to the day when I get to teach Data Visualization!

Featured Updates

A full list of Updates
September 2023
I started working as a Postdoctoral Research Fellow at Harvard Medical School!
August 2023
I ✨graduated✨ with my Ph.D. in Computer Science from Texas Tech University 🎓
July 2023
I presented our interdisciplinary work on Visualization for Qualitative Data at GRC 2023. It's been 4 wonderful years working with our NASA Visionary Grant!
June 2023
I successfully defended my doctoral dissertation in Computer Science! ✨ My dissertation is titled "Interactive Visualization and Event Detection in Time-series Data."
Sept 2022
Heading to Oklahoma for IEEE VIS 2022! Our paper of WordStream Maker: A Lightweight End-to-end Visualization Platform for Qualitative Time-series Data was accepted to NLVIZ: Workshop on Natural Language, Text, and Data Visualization.
Sept 2022
Our journal paper of MalView: Interactive Visual Analytics for Comprehending Malware Behavior was accepted to IEEE Access!
Aug 2020
VAST Challenge 2020 🏆 Mini-Challenge 2 Award: Honorable Mention for Detailed Analysis of Patterns of Misclassification.
Nov 2019
NASA, Visionary Grant Award 🥇 administered by Gordon Research Conferences, for interdisciplinary research with “Visualizing Qualitative Data for Science and Education”.