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We're always interested in collaborating with developers, researchers, and organizations working on quantitative finance and high-performance computing.
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Areas of Interest
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Performance Optimization
GPU computing, SIMD vectorization, and low-latency systems
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Quantitative Research
New indicators, backtesting methodologies, and market microstructure
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Open Source Collaboration
Contributing to and maintaining high-quality financial libraries
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Educational Content
Technical writing, tutorials, and performance benchmarking
We're particularly interested in connecting with graduate students and researchers working on related topics.