Curriculum Vitae of Quan Guo

You can download my CV here

Education

• Ph.D in Water Resource Engineering, Georgia Institute of Technology, 2019 – 2024
• M.S. in Computer Engineering, Georgia Institute of Technology, 2017 – 2018
• M.S. in Environmental Engineering, Georgia Institute of Technology, 2016 – 2017
• B.S. in Ecology, Xiamen University, 2012 - 2016

Teaching

• Georgia Tech CSE 6250 Big Data for Healthcare
  • Head TA since Fall 2020
• Georgia Tech CEE 4200 Hydraulic Engineering
  • Lab Instructor in Spring 2019, Spring 2020

Work experience

• Now: Postdoc
  • Los Alamos National Laboratory, Los Alamos, NM
  • Duties included: CO₂ squestration, SimCCS software development.
• Summer 2023: Machine Learning Research Intern
  • Schlumberger-Doll Research, Cambridge, MA
  • Duties included: find end-to-end AI solution for carbon capture and sequestration in 3D subsurface environment.
• Summer 2018: Machine Learning Engineer
  • Ping An Insurance Co. Beijing, China
  • Duties included: implement machine learning models for disease prediction.

Skills

• Programming: Python, Java, C/C++, MATLAB, R, Julia.
• ML/DL/AI: Pytorch, Tensorflow, Scikit-learn, Jax, Keras, CUDA.
• Big Data: PySpark, Hadoop, MapReduce, Scala, Hive, Pig, Hbase
• Cloud Computing: AWS, Azure, Google Cloud Platform, LAMBDA
• Data Analysis and Visulization: MySQL, Numpy, Pandas, Matplotlib, Plotly, Grafana.
• CI/CD: Git, Docker, Azure DevOps, Google Container Registry, Bitbucket, Gitlab

Service and leadership

• Guest Editor, Hydrology, Special Issue: Advancing Hydrological Science through Artificial Intelligence: Innovations and Applications
• Reviewer for Water Resources Research, Journal of Hydrology, SPE Journal etc.