📍 San Diego, California
🤖 AI + Science
🚀 Building: HELIX
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🧬 HELIX
→ Antibiotic adjuvant discovery platform (RecA inhibition + ML + docking) -
🚇 OpenCodingSociety
→ Integrated CS learning system -
🧬 OpenBioML
→ Bio + ML experiments, tools, and research
- 🧪 Computational Drug Design (docking + ML + physics)
- 🧬 Protein ML (structure, function, representation learning)
- 🤖 Agentic Systems + Tool Use
- 🧠 LLM Training (pretraining → RL → scaling)
- ⚖️ AI Alignment
- 📊 Benchmarking + Evaluation
- ⚡ Neuromorphic / Physical Neural Networks
- 🌐 Distributed Systems for ML
- 📱 Edge AI
- 🧩 Generative Models (VAE, diffusion, controllability)
🔬 Research: Selective RecA inhibition (HELIX)
⚙️ Systems: Scaling docking + ML pipelines
🧠 Learning: Physics-based modeling + LLM systems
🚀 Goal: Build real, deployable scientific systems
“What I cannot create, I do not understand.”
— Richard Feynman
Building at the intersection of AI, science, and systems.