I’m an Assistant Professor passionate about the intersection of AI and materials science. My research focuses on developing intelligent systems to accelerate the design and discovery of advanced materials.
🔬 I specialize in:
- Bayesian optimization and deep learning for materials informatics
- High-entropy alloys (HEAs) and their mechanical and thermodynamic optimization
- Energy materials with an emphasis on Battery Cell Engineering
- Building frameworks for multi-objective optimization in materials design
⚡ I lead projects that aim to:
- Accelerate the discovery of novel materials using AI-driven models
- Develop hybrid platforms that integrate physics-based modeling, machine learning, and high-throughput experimentation
- Create scalable solutions for data management and retrieval in materials research
📊 Currently developing:
- DataScribe.Cloud: a smart data management and optimization platform for materials researchers
- Modular tools for multi-objective Bayesian optimization in composition–property relationships
🧠 I'm also expanding into areas like:
- Guiding Bayesian optimization with contextual reasoning to incorporate domain knowledge and application-specific constraints, enabling more informed exploration and efficient convergence in materials design tasks.
- Generative models for microstructure-informed design
📫 Reach me at: [email protected] 🌐 Website: datascribe.cloud