- đź’Ľ Data Science Intern at Tekurai Inc.
- 🎓 Prospective PhD; focus on optimization for reliable & efficient ML (QAOA/VQE), privacy/robustness, and clinical & financial NLP. [Curriculum Vitae]
- đź’» Current projects: Hybrid QML for IBD + ESM mapping, Tamper-resistant LLMs, FinBERT + Quantum Optimization (QAOA/VQE).
[Google Scholar] • [Website]
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2026Book chapter (forthcoming). “Current Tools and Techniques of Artificial Intelligence in Healthcare.” In Quantum Computing in Medicine: Transforming Drug Discovery, Protein Folding, and Genomics Research through AI Integration (Elsevier). Book page -
2025-05-15“Variational Quantum Circuits for Molecular Classification Using Graph Neural Network.” In QCNC 2025 (IEEE). DOI: 10.1109/QCNC64685.2025.00074 -
2025-06-25“Quantum Variational Transformer Model for Enhanced Cancer Classification.” In IEAI 2025, IOS Press (ATDE). DOI: 10.3233/ATDE250557 -
2025“Adaptive Multimodal AI with Liquid Neural Network for Edge Computing-Based AR.” In IEAI 2025, IOS Press (ATDE). DOI: 10.3233/ATDE250512 -
to appear 2025-12-28“Quantum AI Enhanced Blockchain Security for Drug Discovery.” In Proceedings of ICIAI 2025 (Springer LNEE). Proceedings page