Siddharth Patwardhan

Research Scientist, NLP & AI

20+ years of building AI systems that understand language as humans do — from semantic foundations to modern neural architectures that reason, plan, and interact

About

I'm a Research Scientist in Natural Language Processing with 20+ years at the intersection of AI and human communication.

I've worked at the University of Minnesota, University of Utah, the Mayo Clinic, IBM Research, and Apple—contributing 35+ publications and several patents with over 8,500 citations. The highlight? Being part of IBM Watson's core team when it defeated human grand champions on Jeopardy! in 2011 -- proving that AI could understand and compete at unprecedented levels.

When I'm not working on AI, I'm on the basketball court, building things as an aspiring maker, or flying single-engine aircraft over the American West.

Let's connect 👇 if you want to discuss AI, basketball, making, or aviation.

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Quick Facts

AI Research
35+ publications, 8,500+ citations, 13 patents
PhD, Computer Science
University of Utah
Apple
Siri, Apple Intelligence, Q&A Systems, Knowledge Graphs
IBM Watson Challenge
Core team member, Jeopardy! challenge
Private Pilot
Single Engine Aircraft, 250+ flight hours
Passions
AI, Aviation, Basketball, Making, Writing...

Research Focus

Exploring the frontiers of artificial intelligence and natural language understanding

Brain Brain

Language Models

Developing advanced architectures for large language models with improved efficiency, interpretability, and alignment capabilities.

Chat Chat

Conversational AI

Creating next-generation dialogue systems that understand context, maintain coherence, and engage in meaningful interactions.

Search Search

Information Extraction

Advanced methods for extracting structured knowledge from unstructured text across multiple domains and languages.

Globe Globe

Multilingual NLP

Advancing cross-lingual understanding and developing models that work effectively across diverse languages and cultures.

Lightning Lightning

AI Efficiency

Optimizing AI systems for real-world deployment with focus on computational efficiency and sustainable practices.

Robot Robot

Agentic AI

Building autonomous AI systems that can reason, plan, and take purposeful actions in complex environments while maintaining human oversight and control.

Impact & Recognition

35+ Publications
8,500+ Citations
13 Patents
20+ Years Experience

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