Research Publications

This research explores the intersection of quantum computing and machine learning in pharmaceutical research. We analyze current VQE and QAOA implementations for molecular simulation, benchmark performance against classical methods, and project the timeline for practical quantum advantage in drug discovery pipelines.

As AI agents become more autonomous and capable of executing complex tasks, new security challenges emerge. This paper presents a comprehensive threat model for AI agent systems, analyzes attack vectors including prompt injection, tool misuse, and data exfiltration, and proposes a defense-in-depth security framework.

Enterprise blockchain adoption faces a fundamental tension between transparency and privacy. This research demonstrates how zero-knowledge proofs, specifically ZK-SNARKs and ZK-STARKs, can enable regulatory compliance while preserving business confidentiality. We present three case studies from financial services implementation.

With NIST finalizing post-quantum cryptographic standards in 2024, organizations face the challenge of migrating their cryptographic infrastructure. This whitepaper provides a comprehensive migration roadmap, risk assessment framework, and implementation guide for transitioning to quantum-resistant cryptography.

Off-target effects remain a critical challenge in CRISPR gene editing. This research presents a novel deep learning architecture combining convolutional and attention mechanisms for predicting off-target sites with unprecedented accuracy, validated against experimental data from multiple cell lines.

A practical guide to designing and implementing large language model agent systems for production environments. Covers architectural patterns including ReAct, Plan-and-Execute, and multi-agent orchestration, with detailed analysis of tradeoffs in reliability, latency, and cost.

Maximal Extractable Value (MEV) represents a significant challenge for decentralized finance fairness. This research quantifies MEV extraction across major DeFi protocols, analyzes the ecosystem of searchers, builders, and validators, and evaluates emerging mitigation solutions including PBS and encrypted mempools.

A comprehensive analysis of the intersection between quantum computing and blockchain technology. Examines the quantum threat to current cryptographic primitives, evaluates quantum-resistant blockchain designs, and explores potential quantum advantages for blockchain consensus and smart contract verification.

As brain-computer interfaces advance from research to clinical deployment, security becomes paramount. This paper introduces the first comprehensive security framework for BCI systems, addressing threats to neural data confidentiality, signal integrity, and device safety, with specific recommendations for Neuralink-class implants.

Smart contract vulnerabilities have resulted in billions of dollars in losses. This tutorial provides a comprehensive guide to formal verification methods for smart contracts, comparing symbolic execution, model checking, and theorem proving approaches with practical examples and tool recommendations.

AlphaFold 3 extends protein structure prediction to protein-ligand complexes, opening new possibilities for computational drug design. This article explores practical workflows for using AlphaFold 3 in drug discovery, from target identification to lead optimization, with case studies demonstrating real-world application.

A comprehensive survey of transformer architecture evolution from the original "Attention is All You Need" to modern innovations including Mixture of Experts, State Space Models, and linear attention variants. Analyzes computational tradeoffs and identifies emerging trends for next-generation language models.