Publications & Writing

A practical guide that bridges the gap between technical computing and real-world applications in behavioral science, making Python accessible to psychologists, psychiatrists, neuroscientists, educators, and social scientists with no prior programming experience. The book features real-world scenarios from psychology and education, demonstrating Python's power in human-centered domains while combining programming with experimental design, clinical tools, and educational content.

Building Neo4j-Powered Applications with LLMs is your comprehensive guide to harnessing the power of Large Language Models (LLMs) in conjunction with Neo4j. This book provides a step-by-step approach to building intelligent applications that leverage the capabilities of LLMs for search and recommendations. You'll learn how to integrate Haystack, LangChain4j, and Spring AI to create powerful applications that can understand and respond to complex queries.

Graph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph data science by blending Python's robust capabilities with Neo4j's innovative graph database technology. From fundamental concepts to advanced analytics and machine learning techniques, you'll learn how to leverage interconnected data to drive actionable insights. Beyond theory, this book focuses on practical application, providing you with the hands-on skills needed to tackle real-world challenges.

This book is your comprehensive guide into the dynamic intersection of artificial intelligence (AI) and youth mental health. It aims to bridge the gap between cutting-edge AI technology and its transformative potential in addressing youth mental health challenges.