Siddhartha Datta

Siddhartha Datta is a Researcher at the University of Oxford's Department of Computer Science, specializing in distributed machine learning and adaptive systems. His research develops end-to-end solutions for model training, security, and deployment.

Key research areas include:

• Adaptive learning algorithms for dynamic environments
• Defense mechanisms against adversarial attacks
• Human-centered AI interfaces and tools
• Cross-reality systems blending digital/physical spaces
• Efficient model compression techniques

Current projects investigate prompt engineering for generative models, online learning under data drift, and 3D object detection refinement. His work combines theoretical frameworks with practical implementations, resulting in tools like GreaseTerminator for digital sovereignty and DeepObfusCode for source protection.

Datta has collaborated with Google and Cornell University during his doctoral studies. His open-source contributions include neurocogpy (ECoG processing) and Polysemy Word Tagging Tool, demonstrating commitment to accessible research tools.