Better questions.Better targets.New possibilities.
I’m Amin. I explore how AI can turn biological complexity into hypotheses worth pursuing.
Discover my approach01 / The approach
From complexity.
To clarity.
The right target begins with the right question. I use AI to connect evidence, challenge assumptions, and bring the most promising hypotheses into focus.
01 / Connect the signals
Bring biological context and scattered evidence into the same conversation.
02 / Question the obvious
Look for the mechanism behind the association.
03 / Focus the hypothesis
Make the question specific, testable, and open to being wrong.
02 / The explorations
What if we asked
differently?
A few starting points
for a better question.
Oncology
The questionWhat makes a tumor vulnerable?Explore the gap between a disease association and a mechanism we can test.Explore this questionClose exploration
An exercise in asking, not an answer from a model.
Start with the dependency.
Which processes might a particular tumor depend on, and how would that dependence differ in healthy cells?
Connect different kinds of evidence.
Use AI to organize questions across genetic, functional, and expression evidence. Keep the underlying sources visible.
Design for disconfirmation.
What experiment would distinguish a real dependency from a correlation? What result would make us abandon the hypothesis?
Illustrative research prompts. No target predictions or validated findings are presented.
Immunology
The questionCan we change the immune conversation?Look beyond a single signal to the cells, context, and timing that give it meaning.Explore this questionClose exploration
An exercise in asking, not an answer from a model.
Put the signal in context.
Which cells are communicating, in which tissue, and at which stage of disease? Where might context change the hypothesis?
Map competing explanations.
Use AI to organize possible mechanisms and trace each back to its evidence, including observations that do not fit.
Ask what else would change.
How could we test the proposed mechanism while checking for effects on protective immune functions?
Illustrative research prompts. No target predictions or validated findings are presented.
Neuroscience
The questionWhat changes before symptoms begin?Ask which early biological changes could be causes, consequences, or clues.Explore this questionClose exploration
An exercise in asking, not an answer from a model.
Follow the sequence.
What changes first, in which cell types, and over what timescale? Could the apparent signal be a compensatory response?
Keep alternative paths visible.
Use AI to compare possible sequences of events across evidence sources without treating their agreement as proof of causality.
Test the direction of the effect.
What perturbation could help separate a driver from a downstream effect? Which model would be appropriate for that question?
Illustrative research prompts. No target predictions or validated findings are presented.
03 / The human in the loop
AI expands the search.
Curiosity gives it direction.
I’m Amin. This is my space for exploring the intersection of biology, artificial intelligence, and the questions that could move discovery forward.