This research note presents an end-to-end data quality management framework for banking systems, showing how generative AI can support profiling, validation, anomaly detection, root-cause analysis, and governance.
This research note explores how AI can support protein analysis, from sequence representation and structural interpretation to drug-binding hypothesis generation for early-stage drug discovery.
This research note explores how an AI-powered persona-driven survey engine can simulate user responses, model synthetic personas, and support structured decision-making through feedback analysis.
This research note explores how reasoning in large language models is evolving from linear chain-of-thought prompting to graph-based Diagram-of-Thought frameworks that support more structured, multi-path reasoning.
Can artificial intelligence learn the behaviour of fluid dynamics from simulation data? This research note explores how AI can support prediction of Rayleigh-Bénard convection using WALRUS and scientific machine learning.
Can an AI predict how fluid moves?
In this piece, I explore how a physics foundation model—WALRUS—learns to forecast the evolution of a heated fluid system. Instead of solving equations, the model observes patterns and generates its own version of the future. The result is a striking simulation that reveals both the power and the limits of AI in modeling the physical world.
From Simulation to Prediction: Learning Fluid Dynamics with AI Read More »
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 »
What if AI didn’t just think in steps—but connected ideas like a mind map?
In our latest blog, we explore Diagram of Thought prompting—a powerful technique that helps AI propose, critique, refine, and combine ideas for better answers.
If you want more structured and well-rounded AI responses, this is a must-read!
Diagram of Thought Prompting: Making AI Think Like a System Read More »
