Jonghyun Yun

Jonghyun Yun

Data scientist


Jonghyun Yun is a data scientist in Institute of Statistical Data Science. He completed his PhD in the Department of Statistics at University of Illinois at Urbana-Champaign under the guidance of Dr. Yuguo Chen. He was an Assistant Professor in the Department of Mathematics at UT Arlington. Prior to joining UTA, he was an Assistant Professor in the Department of Mathematical Sciences and a core faculty in the Border Biomedical Research Center at the University of Texas at El Paso, from 2015 to 2016. He was a postdoctoral researcher at UT Southwestern Medical Center under the guidance of Drs. Guanghua Xiao and Yang Xie from 2012 to 2015.


  • Big data analysis
  • Bayesian inference
  • Time series / sequential data
  • Causal inference
  • NLP, ML, RL
  • Python, R, C/C++
  • Spark, Scala, PyTorch, TensorFlow


  • Ph.D. in Statistics, 2012

    University of Illinois at Urbana–Champaign

  • MA in Applied Statistics, 2006

    Yonsei University

  • BAs in Applied Statistics and Business Administration, 2004

    Yonsei University


  • Big-data analytic
  • Machine learning
  • Prediction modeling
  • Visualization
  • Dimension reduction
  • Hidden Markov model
  • Reinforcement learning
  • Time series
  • Natural language processing
  • Bayesian inference
  • Monte Carlo method
  • Causal inference
  • Cybersecurity
  • Fraud detection
  • Biostatistics and Bioinformatics
  • Multiple hypothesis testing
  • Anomaly detection
  • Next-generation sequencing
  • Smart infrastructure
  • log-data analysis
  • R, Python, Spark, Scala, C/C++, MATLAB
  • PyTorch, Tensorflow
  • SQL, Git, Shell script
  • Parallel/Distributed computing



Cybersecurity Data Scientist

American Airlines

February 2022 – Present Fort Worth, TX
Developing loyalty fraud detection models to capture fraud at early stages of account takeover. Designing and deploy a system to create fraud incident reports and to leverage feedback from SME to reinforce the detection performance. The system has increased the fraud detection efficiency by 94.7%.

Data Scientist

Institute of Statistical Data Intelligence

September 2019 – Present Mansfield, TX
Developing and/or applying cutting edge ML for prediction modeling, Bayesian models, time series, causal inference, visualization, segmentation for big data. Applying NLP and survival model to analyze timestamped sequence of action data (log data). Developing network modeling frameworks to discover dynamic interaction b/w customers and merchandise. Parallel programming using C/C++ for complex Bayesian inference. Processing, cleansing and validating the integrity of data. Presenting analysis and visualization using R and python, and developing software packages.

Assistant Professor

UT Arlington

September 2016 – August 2019 Arlington, TX

Assistant Professor

UT El Paso

September 2015 – June 2016 El Paso, TX

Postdoctoral Researcher

UT Southwestern Medical Center

September 2012 – August 2015 Dallas, TX

Recent Posts

Sync Overleaf projects using Emacs

My hack to sync Overleaf projects stopped working after upgrading Emacs to 27.2. The previous hack was also a bit risky as it could push changes for another project I visit.

How to fix when Emacs in OS X displays decomposed Korean characters

I ran into this problem recently while I was using Emacs to find a file with Korean characters in filename. OS X’s filesystem uses UTF-8 NFD (normalized form D), which Emacs doesn’t support by default.

How to sync between Overleaf projects and Emacs

My collaborators and I have a few shared projects in Overleaf. It provides a few options to sync local and remote changes in project files. At this moment, using git to sync files is the only “free” option, but it requires users to manually sync files.