MANTIS
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Researcher · Builder · Science communicator
Thomas
de Chillaz
I build ways to see complex systems more clearly — from the inner life of a cell to the surface of another world.
Currently AI & Data student
Researching at MIT CSAIL
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01 Gene expression
02 Cell state
03 Clinical signal
ACGT · GCTA · TTAG · CGAT · ACGT · GCTA
01 / Health & computational biology
Finding signal
inside the cell.
At MIT CSAIL's Computational Biology Group, I am working where AI, interfaces, and genomics meet — making complex scientific knowledge easier to explore.
MIT Computational Biology GroupSingle-cell RNA sequencing
Building web-based ways to navigate high-dimensional single-cell data, turning dense expression matrices into more legible biological patterns.
Multimodal survival analysis
Developing survival prediction from censored clinical data, then evaluating how CT scans, histopathology, and electronic health records can improve practical risk estimation.
CTPathologyEHRRisk
02 / Astronomy
Teaching machines
to read worlds.
Astronomy is my longest-running curiosity: a place to combine physics, data, and imagination with questions that stretch beyond one discipline.
EXP — 01
Exoplanet Habitability Classifier
Machine learning on NASA's Kepler dataset to estimate whether planetary conditions could be compatible with life.
LAND — 02
Landing Suitability Algorithm
A computer-vision system that combines terrain segmentation and crater detection to score safer planetary landing zones.
“What is worth doing, is worth doing well.”
— My grandfather
03 / Education
Learning across
the boundaries.
2025 — 2029
01
CentraleSupélec × ESSEC
Bachelor of AI, Data & Management Sciences
An interdisciplinary program connecting rigorous technical work with strategy, organizations, and real-world decision-making.
- Linear algebra
- Calculus
- Statistics
- Optimization
- Data structures
- Data analysis
2023 — 2025
02
École Jeannine Manuel
French International Baccalaureate
Graduated with highest honors, specializing in mathematics, physics, and chemistry with expert-level mathematics.
2024
03
Stanford Online
Understanding Einstein: Special Relativity
04 / Selected work
Research that
becomes a product.
I learn fastest by building — models, agents, and tools that make a difficult process more understandable or useful.
01Medical AI
Lung Cancer Subtype Classifier
A CT-scan classifier that improved from 85.56% to 93.02% accuracy.
Open project notes
I refined EfficientNet-based architectures and redesigned augmentation so clinically relevant tumor regions survived the training pipeline.
02Clinical workflow
Clinical Trial AI Agent
An automated call-center concept for faster clinical-trial patient classification.
Open project notes
The system combines conversational voice AI, internal clinical data, and lab models to structure a complex screening workflow for clinicians.
03EdTech
Next Kareer
An AI preparation platform for stronger, more targeted job applications.
Open project notes
Developed in the CentraleSupélec accelerator loop, the product brings together interview practice, résumé feedback, and application tracking around the candidate journey.
04Voice AI
Intervue AI
A real-time mock-interview prototype with voice interaction and résumé context.
Open project notes
Built as a working demonstration with speech-to-text, text-to-speech, résumé parsing, and rapid response generation.
View public project60M+
05 / Science communication
Curiosity,
at scale.
I founded The Curious Minds to turn mathematics and astrophysics into stories people want to share. Across TikTok, Instagram, and YouTube, that work has reached 60M+ views.
03
Major social platforms
02
Languages spoken natively
01
Companion science website
Toolkit
How I work.
Research computing
- Python
- PyTorch
- Torchvision
- scikit-learn
- NumPy
- Pandas
Methods
- Computer vision
- Survival analysis
- Multimodal ML
- Data visualization
Product
- HTML / CSS / JavaScript
- SQLite
- AI agents
- User research
Open to ambitious ideas