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Research Interests
My research focuses on the intersection of machine learning and systems, with particular emphasis on:
- Machine Learning Systems: Optimizing the training and inference of large-scale ML models
- Distributed Computing: Efficient parallelization strategies for deep learning workloads
- Compiler Optimization: Automatic optimization of ML computations for various hardware backends
- Memory Management: Novel techniques for training larger models with limited memory
- Hardware-Software Co-design: Designing systems that leverage modern accelerators effectively
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