Chung Yan Shih
Technical Fellow at Leidos
- Role
- Technical Fellow at Leidos
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Chung Yan Shih
Technical fellow applying AI/ML to advance technologies in the applied energy domain. Developing organizational strategies and capabilities, translating needs/trends into winning proposals, and implementing analytical models from conceptual design to model deployment. Specialties: GIS, supply chain analysis, vulnerability assessment, risk management, data mining, spatial data mining, artificial intelligence & machine learning, web application development, 3D modeling
Experience
Technical Fellow
Nov 2020 — Present
Spearheaded the value proposition of establishing a Science-based AI/ML Institute (SAMI) to prepare the National Energy Technology Laboratory to develop, deploy, and maintain AI/ML capabilities across fields, such as material and manufacturing, subsurface, and computational science.Led a team that successfully developed a CO₂ saturation prediction model reaching faster than the traditional simulation time in the Science-Informed Machine Learning to Accelerate Real-Time Decisions (SMART) initiative.
Education
Carnegie Mellon University
PhD, Advanced Infrastructure Systems
National Chiao Tung University
Master, Civil and Environmental Engineering
Carnegie Mellon University
Master, Computational Science and Engineering
National Taiwan University
BS, Naval Architecture and Ocean Engineering
Skills
- Data Analysis
- Programming
- Microsoft Office
- Statistics
- Research
- Databases
- Algorithms
- Gis
- C#
- Software Development
- Python
- Data Mining
- Analysis
- Sql
- C++
- Modeling
- Matlab
- Business Intelligence
- Javascript
- Machine Learning
- Risk Management
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