Asad Gohar
- Department: Digital Anti-Aging Healthcare & Computer Engineering
- Position: Research Engineer
- RESEARCH INTERESTS: Artificial Intelligence (AI), Agentic AI, Large Language Models (LLMs), Natural Language Processing (NLP), Machine Learning, Deep Learning, Healthcare AI, Medical Information Extraction, Generative AI, AI Agents, and Intelligent Healthcare Systems
As a Research Engineer working at the intersection of Digital Anti-Aging Healthcare and Computer Engineering, my work focuses on developing and applying Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Agentic AI to healthcare and biomedical applications. I am particularly interested in building intelligent computational systems that can process complex healthcare data and transform it into meaningful and actionable knowledge.
My research interests include Healthcare NLP, Medical Information Extraction, Clinical Text Mining, Generative AI, LLMs, AI Agents, Agentic AI, Knowledge Representation, and intelligent healthcare systems. I am especially interested in developing AI agents capable of reasoning, using tools, processing multiple sources of information, and performing complex tasks to support healthcare research, digital health, healthy aging, and anti-aging applications.
With a strong background in Computer Engineering and Python-based AI/software development, I work on machine learning and deep learning systems, NLP applications, LLM-based solutions, data processing, and AI agent development. My goal is to combine advances in computer engineering and modern AI with digital healthcare research to create reliable, scalable, and intelligent technologies for healthy aging and next-generation healthcare.
Website: www.asadgohar.com
LinkedIn: Asad Gohar