Calibrated Lab
I am Ilhame Ait Lbachir, a computer science professor and AI researcher. I help researchers do work that holds up to scrutiny: stronger research, sharper papers, proposals, and talks, with a specialist’s eye for trustworthy, uncertainty-aware AI.
Confidence that matches the evidence.
Synthetic scan. Illustrative, not a real patient image.
What I do
Not louder work. Stronger work. Here is where I go deep.
Methodology and experimental design that survive a hard read. How to frame a question, run experiments that mean something, and report results reviewers trust.
The craft of writing for acceptance. How a paper actually gets written, where proposals fall apart, and what reviewers look for before they say yes.
From my own research: uncertainty quantification, explainability, and calibration for medical imaging. How to reason about AI you can actually trust, made clear.
A named standard
The standard I hold myself to, and the one I teach. Confidence that matches the evidence, never more.
Every sentence earns its place. If the data does not back it, it does not ship.
Read your own work the way a hostile reviewer will. Find the holes before they do.
Say what you do not know. Calibrated confidence is more persuasive than false certainty.
Proof
I. Ait Lbachir, I. Daoudi, R. Nassih · International Conference on Intelligent Systems and Digital Applications (ISDA), IEEE
I. Samiry, I. Ait Lbachir, I. Daoudi, S. Tallal, S. Adil · International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), Springer
I. Ait Lbachir, I. Daoudi, S. Tallal · Multimedia Tools and Applications (vol. 80), Springer
Free kit
Thirty checks I run before any paper goes out, distilled from reviewing more than 130 of them. The things reviewers reject for, before they ever reach a reviewer.
Enter your email and the checklist is on its way.
Courses
Hosted on Udemy. The list gets first access and the best price.
The full workflow from question to accepted paper. Experimental design, honest evaluation, and writing that gets past reviewers.
About
I am a computer science professor and AI researcher working on AI you can actually trust. Calibrated Lab is where I share how that work really happens. Not the polished version. The real one.
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