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I am currently a Researcher in Computational Science and Machine Learning at the National Renewable Energy Laboratory (NREL)
I work on scientific machine learning projects using mostly Tensorflow and sometimes Pytorch. I have developed generative modeling techniques for data augmentation, data reduction and rare event probability estimation.
| diversitySR | Phase-space-sampling | GANISP |
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I develop surrogate models using physics-informed neural nets to accelerate parameter identification for Li-ion battery models.
| PINNSTRIPES |
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I also develop code for high-performance computing on CPU/GPU architectures. Lately, I have been developing HPC code for analytically reduced chemistry using symbolic mathematics.
| PelePhysics |
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I am also working on scaling up the generative modeling regularization techniques I developed to handle large atmospheric datasets
| sup3r |
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I develop tools generate OpenFOAM meshes that adapt to geometrical parameter variations. This is particularly useful for geometry optimization.
| BiRD |
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Working on developing uncertainty propagation tools for Large eddy simulations.
| mluq-prop |
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A tool box for journal quality plotting, for input parsing and progress bar display
| prettyPlot |
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I also develop fun projects to organize Secret Santa 🎅 remotely or settling intense Poker games
| SecretSanta | PokerSplit |
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I'm always happy to hear about new oppportunities!
malik[dot]hassanaly[at]nrel!dot!gov