Jiangang Hao

About Jiangang Hao

I am a research director at Educational Testing Service and lead the Assessment of Complex Skills program in the ETS Research Institute. Curiosity is the fundamental driving force of all my research. Solving real-world problems using the most practical & effective methods, identifying & teaming up the right talents, and extracting evidence & insights from data to support decision making are the core themes of all my work. My current research centers on innovating AI, Data Science, and Psychometric methods to measure people’s complex skills. Some specific areas include assessment of 21st century skills such as collaboration and communication, automated scoring/coding, AI for assessment, Test Security in Remote Testing, and Game/Simulation-based Assessments. Before joining ETS, I worked on astrophysics and cosmology at Fermi National Accelerator Lab and the University of Michigan, where I worked on two prominent astronomical projects that have embraced big data since the early the Sloan Digital Sky Survey (SDSS) and the Dark Energy Survey (DES). In these projects, my research centered on developing unsupervised machine learning algorithms to detect galaxy clusters (my PhD project), CCD sensor, astronomical image processing, and cosmological parameter estimation. Publications: Expertise:1. Games/simulation-based Assessment of complex skills, Automated Scoring, Test Security, Process Data Mining 2. AI, Data Science, Psychometrics, Statistics, Scientific Computing, Natural Language Processing3. Dynamical System, Physics, CosmologyProgramming skills:Python, R, C++, C, Matlab, IDLMy GitHub: https://github.com/jgbrainstormECGMM package: https://sites.google.com/site/jiangangecgmm/

Experience

1. Research Director

   ETS

   Sep 2023 — Present · US

   Leading the Assessment of Complex Skills program to develop AI-enabled and performance-based assessments for complex skills such as collaboration, communication and other complex reasoning/problem solving skills.• Leading research to advance automated scoring/coding via responsible use of AI. • Leading a community effort to analyze and document how LLMs and generative AI transform assessment.• Developing guidelines and researching new methods for responsible use of detectors of AI-generated texts.

Education

• University of Michigan

  Doctor of Philosophy (PhD), Physics

• University of Michigan

  Master of Arts (M.A.), Statistics

Skills

• Bayesian Statistics
• Mathematical Modeling
• Stochastic Processes
• Differential Equations
• Digital Imaging
• Idl Programming
• Statistics
• Data Mining
• Digital Image Processing
• Data Modeling
• Fourier Analysis
• Physics
• Statistical Modeling
• Classification
• Matlab
• Image Analysis
• Dynamical Systems
• Pattern Recognition
• Algorithms
• R
• C++
• Machine Learning
• Scientific Computing
• Statistical Computing
• Data Analysis
• Python
• Cluster Analysis