CSPilot
Automates molecular generation, quantum-chemistry workflow planning, execution, verification, and reporting across open scientific tools.
Computational chemistry · AI for science
Computational Chemist | AI for Molecular & Materials Discovery
Developing computational, machine-learning, and autonomous workflows for exploring chemical spaces from small molecules to polymers, crystals, and MOFs.

Selected research
Projects include CSPilot, HydroMol, sustainable aviation-fuel candidates, and TADF molecular design.
Research vision
Current work is rooted in small-molecule chemical spaces. The same computational toolkit provides a deliberate route toward polymers, crystals, and metal–organic frameworks.
Core strategy
The LEGO-based strategy treats chemically meaningful fragments as reusable building blocks. Automated rules connect, substitute, or arrange those blocks to generate candidate structures; fast models screen the larger space; and quantum-chemical calculations refine the most promising candidates.
Featured software
Automates molecular generation, quantum-chemistry workflow planning, execution, verification, and reporting across open scientific tools.
Recent publications
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Collaboration
I'm open to research conversations, software collaborations, and opportunities at the intersection of chemistry and AI.
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