I am a Ph.D. researcher in Materials Science & Engineering at Stevens Institute of Technology, working at the intersection of Machine Learning, Metabolic Flux Analysis, and Computational Biology.
With 7+ years of software engineering experience 
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🔬 Developing AI-driven approaches for Metabolic Flux Analysis (ML-Flux)
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🧬 Building computational models for co-culture metabolism and isotope tracing
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💻 Senior-level software engineer with experience in full-stack development, cloud architecture, scientific computing, and machine learning systems
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🚀 Developing scientific software and data platforms for systems biology
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🌱 Currently exploring Graph Neural Networks, Scientific AI, and Multi-omics Integration
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⚡ In my free time, you will find me contributing to open source, reading tech articles, or jogging.
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📫How to reach me:
- ML-Flux – Machine Learning for Metabolic Flux Analysis
- Co-Culture MFA – AI-enabled flux quantification in mixed-cell systems
- iPATH – Atomic tracing and metabolic pathway visualization platform
