AI Researcher @ Stanford · Polytechnique & HEC Paris
Hello, I'm Iliass Sijelmassi
AI Researcher & ML Engineer
Currently researching AI for cardiology at Stanford University. Passionate about deep learning, generative AI, and statistics.
About Me
I'm an AI Researcher at Stanford University, passionate about deep learning, generative AI, and statistics.
Currently researching AI for cardiology at Stanford under Dr. Louise Sun. With experience at Crédit Agricole CIB and Infosys (Renault), I combine research depth with industry expertise to deliver impactful solutions.
Education
M2 AI & Data Science
Polytechnique & HEC Paris
Visiting Student @ Stanford
Location
Stanford, CA / Paris, France
Status
AI Researcher @ Stanford
Projects
Featured Work
Survival analysis for leukemia patients. Ranked top 10% of candidates in national QRT-ENS data challenge. 75.45% IPCW C-index.
Real-time market making simulation with production-ready REST API. Sub-50ms P99 latency.
Experience
Where I've Worked
AI Researcher Intern (Visiting Student)
Stanford University
Conducting research in AI for cardiology under the supervision of Dr. Louise Sun, building deep learning models to predict cardiovascular risks. Processing and extracting predictive signals from large-scale, noisy longitudinal clinical datasets, applying rigorous statistical validation to ensure robustness.
Data Scientist Intern
Crédit Agricole CIB
Built audit risk prediction models (XGBoost) to forecast overdue internal audit actions on 200k+ historical records. Applied time-aware validation and SHAP for explainability.
Java Consultant Intern
Infosys – Renault
Developed backend modules for supply-chain platforms (R3, EPO). Java, PostgreSQL, Oracle.
Software Developer Intern
Kuyper's Auto
Built web interface and online reservation system. Direct client collaboration.
Technical
Skills & Tools
Languages
ML & Data
Tools
Research
Papers & Publications
More papers coming soon...
Contact
Let's Connect
I'm currently looking for opportunities in ML Engineering, Data Science, and Applied ML. Feel free to reach out.