Jian Gong

School of Computing

Research Scientist

Contact Information

(307) 766-5229jgong@uwyo.edu

Crane Hall, Room 534

Curriculum Vitae
Jian Gong

Academic Background

  • PhD, Texas A&M University, Geology
  • BS, University of California, Berkeley

Experiences

  • 2022-Present: Research Scientist, School of Computing University of Wyoming, Laramie, WY, USA
  • 2022: AI/ML Researcher @ SETI Institute & NASA Ames Research Center Frontier Development Lab, Mountain View, CA, USA
  • 2018-22: Postdoc Associate, Department of Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology, Cambridge, MA, USA
  • 2015-18: Investigator, Division of Geomicrobiology Institut de Physique du Globe de Paris, Paris, France

Research Areas

I am an interdisciplinary scientist interested in applying computing to diverse fields of science, arts, and engineering. My goal at the School of Computing is to promote computational science as an exciting toolkit for anyone who would like to try something new in their own research, arts, studies, or businesses. Computing will assist you to become a better thinker, designer, artist, and engineer in unexpected new ways.

In my own research, I study complex systems, self-organization, environmental-biological evolution, and the origin of life. I work on NASA-sponsored research projects to help find signatures of life beyond Earth.

Data Science:

  • Applied Machine Learning and Artificial Intelligence in Earth and Planetary Sciences, Astrobiology
  • Bioinformatics, Cheminformatics
  • Computational Microscopy and Spectroscopy
  • Data Mining, Data Visualization
  • Deep Learning, High Performance Computing
  • Image Processing, Statistical Modeling
  • Time Series Analysis, Unsupervised Learning
  • Web Scraping, Web Services, Databases

Art and Design:

  • Digital design and manufacturing tools and their applications
  • Human-machine interfaces
  • 3D CAD and Printing/Laser technologies
  • Generative art

Material Characterization:

  • Material analysis using XRD, XRF, EPMS, and SEM/TEM
  • Optical & Fluorescence Microscopy and Spectrometry (Raman, FTIR)
  • Mass Spectrometry (ICP-MS, GC/MS, LC/MS, MS/MS)

Geologic and Biologic Laboratory Methods:

  • Rock analysis, Extractions
  • Microbial Culture Development, Electrochemistry
  • Lab Safety

Software and Hardware R&D:

  • Sensors and Robotic Data Logging Instrumentations
  • Embedded systems
  • Automated Experimentation

Field Research Methods:

  • Field chemicals and water analysis
  • Field experiments
  • Collection and analysis of geological materials
  • Environmental characterization
  • Fluid mechanics in hydrogeology

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