Can AI help us understand how medicines interact with the body?
In this edition, I explore a beginner-friendly experiment where I used AI tools like AlphaFold and AutoDock Vina to go from a protein sequence to a plausible drug-binding hypothesis—all on a laptop. A simple walkthrough, even if you’re new to biology.
AI-Assisted Protein Analysis: From Sequence to Drug-Binding Hypothesis Read More »
What if you could test your product idea before having real users?
In this post, I show how to use AI personas to build a synthetic focus group—generate surveys, simulate responses, and uncover insights early.
Building a Persona-Driven Survey Engine Using AI Read More »
A practical guide to AI thinking techniques, including Chain of Thought, Tree of Thought, Logic of Thought, Iteration of Thought, and Diagram of Thought, with examples and prompt templates.
The Evolution of AI Thinking: From Chain of Thought to Diagram of Thought Read More »
Earth Models, World Models, and Global Models are three fast-growing “families” of AI systems that are often mentioned together—but they solve very different problems. This blog provides an accessible, research-oriented map of the landscape for readers who are new to AI (and for technical readers entering the field).
Earth, in a Bottle. A Robot, with Imagination. And an AI That “Knows Everything.” Read More »
What does learning deep learning have in common with cooking pasta?
More than you might think.
In this article, I explain deep learning concepts for beginners using the familiar process of learning to cook pasta—preparing ingredients, tasting, adjusting, and improving with every attempt. It’s a simple, intuitive way to understand how neural networks train, make mistakes, and get better over time—without heavy math or jargon.
Deep Learning Concepts for Beginners : Cooking Pasta Analogy Read More »
What if understanding neural networks felt as natural as watching someone learn basketball?
In this short read, I explain how a neural network learns—using the simple, familiar journey of a player practicing shots, missing, adjusting, and improving. No heavy math. Just intuition, clarity, and a fresh way to see how AI actually learns.
Deep Learning Concepts for Beginners : Basketball Player Analogy Read More »
What happens when your AI model is accurate… but not private?
Trust disappears.
In this blog, I show you how to build privacy into your models using simple concepts like epsilon, clipping, and federated learning. We even run 60 privacy experiments to find the perfect balance. A great read for students and young professionals exploring responsible AI.
A Beginner-Friendly Guide to Privacy in AI Read More »
Curious how AI models make decisions—or what goes on inside their “black box”?
In my latest blog, I break down explainable AI with hands-on Python examples, using real tools like SHAP, LIME, ELI5, and DALEX. Whether you’re a student, educator, or just passionate about responsible tech, this guide will help you see (and trust!) how machine learning models “show their work.”
Discover:
– What “explainability” really means
– How to interpret model explanations and plots
– Why transparency and fairness in AI matter
A Beginner-Friendly Guide to Explainable AI (XAI) Read More »
Ever wondered how AI decides who gets hired or approved for a loan?
Spoiler: it sometimes inherits our biases.
In my latest blog, I uncover how bias sneaks into machine learning—and how we can fix it to make AI fairer for everyone.
👉 Read the full story: The Hidden Bias in Machines
How to Detect Hidden Bias in Your ML Model — A Step-by-Step Tutorial Read More »
Ever wondered how AI predicts tomorrow’s weather, stock prices, or even your heart rate? In my latest blog, I break down how machines learn from the past to predict the future — exploring trends, seasonality, and hidden patterns in data. You’ll discover the evolution from classic models like ARIMA and Random Forests to modern deep learning architectures such as LSTMs and Transformers, and even the rise of foundation models like TimeGPT and TimesFM. Perfect for beginners curious about how AI understands time and turns data into foresight.
A Beginner’s Guide to Time Series Modeling Read More »
