Information
Chenghao Ding (Click to download my resume)
Education
- Ph.D Student in Nuclear Engineering, GPA: 3.51/4.00
University of Illinois at Urbana-Champaign May 2022 - Master of Science in Applied Statistics, GPA: 3.61/4.00
University of Illinois at Urbana-Champaign May 2020 - Master of Science in Nuclear Engineering, GPA: 3.62/4.00
Wuhan University July 2015 - Bachelor of Science in Nuclear Engineering, GPA: 3.75/4.00
Hubei University of Science and Technology July 2013
Research & Publications
- Semi-empirical global heat balance model for probabilistic extrapolations of global average temperature (Submitted to Earth System Dynamics.)
Skills
- Programming:
Python (proficient), R, TensorFlow, Keras, MATLAB, SQL - Platform:
Hadoop, Spark, Linux/UNIX, Amazon Web Service - Data Science:
Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, CatBoost, LightGBM, XGBoost - Machine Learning:
Predictive Modeling, Computer Vision, Recommender Systems
Selected Courses
- Computer Science, Machine Learning, and Data Science
- STAT 542: Statistical Learning
- STAT 578: Statistical Learning in Data Science
- Statistics
- STAT 400: Statistics and Probability I
- STAT 410: Statistics and Probability II
- STAT 425: Applied Regression and Design
- STAT 429: Time Series Analysis
- NPRE 498: Probabilistic Risk Assessment
- NPRE 598: Advanced Risk Analysis
- Online Courses
- deeplearning.ai: Deep Learning Specialization
- Stanford University: Machine Learning
- Princeton University: Algorithms, Part 1
For more details, please refer to my resume.