Forrest Hoffman
- Role
- Distinguished Computational Earth System Scientist at Oak Ridge National Laboratory
- Location
- Oak Ridge, TN, US
- LinkedIn followers
- 500 followers
Experience
Distinguished Computational Earth System Scientist
Nov 1993 — Present
Group Leader for the Computational Earth Sciences Group at Oak Ridge National Laboratory. Laboratory Research Manager for the U.S. Department of Energy (DOE)-funded Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation (RUBISCO) Scientific Focus Area (SFA) project; contributor to the Next Generation Ecosystem Experiments (NGEE) – Arctic, and NGEE – Tropics projects; Principal Investigator for the USDA Forest Service-funded ForWarn project at ORNL; Earth System Modeling (ESM) Theme leader for the Climate Change Science Institute (CCSI) at ORNL; and contributor to the Community Earth System Model (CESM) and the International Land Model Benchmarking (ILAMB) community research activities. Directs and conducts Earth system research focused on global biogeochemistry, terrestrial ecosystem science, and hydrological research, employing advanced computational methods and high performance computing resources. Develops and implements metrics for model evaluation, performs software engineering for Earth system models, and develops and applies methods for large scale data analytics. Previously led the Computer Science & Mathematics Division (CSMD) Awards Committee and formerly served on the ORNL Secure On-Line Facilities Development Group, the Environmental Sciences Division (ESD) Electronic Communications Committee, the ORNL Scientific Computing User Advisory Committee, the ORNL IBM SP2 Access Committee, and the ORNL Internet Technologies Working Group (ITWG).
Skills
- Openmp
- Scientific Visualization
- Science
- Algorithms
- Applied Mathematics
- Machine Learning
- Fortran
- Cuda
- Latex
- Parallel Programming
- Programming
- Simulations
- Environmental Science
- Numerical Simulation
- Idl
- Spectroscopy
- Modeling
- Physics
- Data Mining
- Experimentation
- Mathematical Modeling
- Python
- R
- Climate Modeling
- Image Processing
- Parallel Computing
- Numerical Analysis
- Climate Change
- High Performance Computing
- Scientific Computing
- Mpi
- Pattern Recognition
- Computational Physics
- Biogeochemistry
- Radiation
- Monte Carlo Simulation
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