Joey Yip

Knowledge Graphs | Big Data | Agentic AI | Deep Learning

Building Neuro-symbolic AI systems that combine Knowledge Graphs with Large Language Models for explainable intelligence.

About

Joey Yip

I completed my Ph.D. at the Artificial Intelligence Institute, University of South Carolina under Prof. Amit Sheth in the intersection of Knowledge Graphs (KGs) and Large Language Models (LLMs). My work focuses on building Neuro-symbolic frameworks that combine the reasoning capabilities of structured knowledge with the generative capabilities of LLMs and Agentic Systems for application- and user-level explainability in mission critical domains.

Previously, I led the development of EMPWR, the next-generation platform for managing the complete KG lifecycle: from design and ingestion to enrichment and maintenance at scale; also led the effort in developing Neuro-symbolic AI approaches to accelerate and automate medical device R&D, in collaboration with MedHive.ai.

I completed research internships at the National Library of Medicine (NLM) and Outreach.io, where I developed methods to create, manage, and maintain large-scale KGs for healthcare and sales intelligence applications.

Research Focus

  • Knowledge Graphs
  • Neuro-symbolic AI
  • Large Language Models
  • Agentic Systems
  • Retrieval-Augmented Generation (RAG)

Current Role

Research Scientist

DataMinr, NY

June 2026

Recent Updates

June 2026

Joined DataMinr as Research Scientist

April 2026

Successfully defended my dissertation "A Neuro-Symbolic AI Framework for the Knowledge Graph Lifecycle" under Prof. Amit Sheth

Nov 2025

Ph.D. Proposal Defense: "A Neuro-Symbolic AI Framework for the Knowledge Graph Lifecycle" under Prof. Amit Sheth

Sept 2025

Published "Building Multimodal Knowledge Graphs" in IEEE Internet Computing

Dec 2024

Tutorial at KGSWC: "Data and Knowledge-Driven Processes for the Knowledge Graph Lifecycle"

Aug 2024

U.S. Patent 12,067,983 issued for "Robust task-oriented virtual assistants"

Ongoing

Shipped EMPWR platform with 6M+ triples in PercuroKG

EMPWR Platform

Selected Publications

20+ Total Publications
8 Journal Articles
3 Conference Papers
1 Patent
2026

Toward Neurosymbolic Reinforcement Learning via Editable Specifications

Khandelwal, V., Yip, H. Y., & Sheth, A.P.

AAAI MAKE 2026

2025

Building Multimodal Knowledge Graphs: Automation for Enterprise Integration

Garimella, R., Yip, H.Y., Venkataramanan, R., & Sheth, A.P.

IEEE Internet Computing

2024

Robust Useful and General Task-Oriented Virtual Assistants

Srivastava, B., et al., & Yip, H.Y.

U.S. Patent 12,067,983

2023

Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability

Venkataramanan, R., Tripathy, A., Foltin, M., Yip, H.Y., Justine, A., & Sheth, A.

IEEE Internet Computing

2020

Biomedical Vocabulary Alignment at Scale with the UMLS Metathesaurus

Nguyen, V., Yip, H.Y., & Bodenreider, O.

The Web Conference (WWW)

2019

Extending Patient-Chatbot Experience with Internet-of-Things and Background Knowledge

Sheth, A., Yip, H.Y., & Shekarpour, S.

IEEE Intelligent Systems

Contact

Interested in research collaborations, consulting opportunities, or discussing AI and knowledge graph projects? Let's connect.

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GitHub
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