David Lorenzetti
Research Scientist at Lawrence Berkeley National Laboratory
Emeryville, California, United States
Summary
👤
Senior🎓
Top SchoolDavid Lorenzetti is a research scientist with over two decades of experience building analytical and numerical tools for whole-building energy, airflow, and pollutant-dispersion modeling. Based at Lawrence Berkeley National Laboratory, he leads end-to-end software development—designing novel solution algorithms, implementing simulation tools (including contributions to NIST CONTAM), and automating testing and deployment while supporting real-world users. His work blends rigorous numerical methods (nonlinear solvers, optimization) with practical engineering, and he routinely codes in C, Fortran, Python, R, shell and uses Mercurial and LaTeX. Trained with a PhD from MIT in Building Technology and a background in electrical engineering, he brings a rare combination of theoretical inventiveness and hands-on production software craft applied to occupant safety and environmental simulations.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Building Technology, Doctor of Philosophy (PhD), Building Technology at MITBachelor of Science (B.S.), Electrical and Computer Engineering, Bachelor of Science (B.S.), Electrical and Computer Engineering at University of Cincinnati
Github Skills (4)
algorithms8
python8
scientific-computing8
scipy7
Programming languages (1)
Github contributions (2)
VOLTTRON/openeis
Jun 2014 - Oct 2014
Contributions:80 commits in 4 months
scipy/scipy
Feb 2018 - Feb 2018
SciPy library main repository
Contributions:2 comments, 1 issue in 1 day
scipypythonscientific-computing
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