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Jaleed Khan, PhD

Senior Research Scientist | Honorary Research Fellow at University of Oxford | Mentor
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About Jaleed

Dr. Jaleed Khan is a Lead AI/Data Scientist and educator specializing in machine learning, generative AI, data science, and computer vision. He holds a PhD in Artificial Intelligence from the University of Galway, with research that advanced neurosymbolic and multimodal AI for scene understanding and visual reasoning---earning nearly 50 publications, 2,300+ citations, and multiple open-source contributions. At Elsewhen, he leads the development of GenAI, RAG and Agentic AI solutions for enterprise clients. As an Honorary Research Fellow at the University of Oxford, he applies AI to healthcare, and as a 365 Data Science instructor, he creates hands-on courses that blend academic depth with real-world applications.

Background

Lead AI/Data Scientist at Elsewhen

Leading the development of GenAI, RAG and Agentic AI solutions for enterprise clients.

Instructor at 365 Data Science

Designing and teaching AI, LLM, and data science courses with a hands-on, industry-focused approach.

Honorary Research Fellow at University of Oxford

Develop healthcare AI: patch-based transformers for biomedical time-series classification; multimodal LLMs for clinical decision support.

Track record

Bringing real-world expertise from leading global companies

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Academic background

Doctorate (PhD), Artificial Intelligence

University of Galway

What can Jaleed teach you?

Jaleed's courses integrate the latest AI research with practical coding exercises. He specializes in generative AI, multimodal AI, computer vision, and applied machine learning—always with a focus on making complex topics understandable and usable in real-world projects.

Artificial Intelligence (AI) Data Science Machine Learning Deep Learning Computer Vision Python Neurosymbolic AI Multimodal AI Large Language Models (LLMs) Generative AI