Projects

A selection of research, data science, and software engineering projects spanning medical imaging, predictive modeling, health data, and education technology.

Featured

ongoing
GitHub

feynominal

A tutoring and education platform inspired by Richard Feynman’s teaching philosophy — making complex concepts simple and accessible.

Next.jsTypeScriptAI/LLM Integration
ongoing
GitHub

pnp

An interactive learning tool designed to accelerate knowledge acquisition through structured, personalized learning paths.

PythonAI/MLEducation Technology
completed

MRI-based Radiotherapy Response Prediction

Deep learning framework using radiomics, clustering, and generative diffusion models (DDIM) to distinguish pre- and post-radiotherapy MRIs for pediatric brain tumors.

PythonPyTorchRadiomicsDDIMMedical Imaging
completed

Predictive Acquisition Model — PostFinance

ML model identifying high-propensity customer segments for the YUH neobank product, built with PySpark pipelines and custom SQL data marts.

PySparkSQLPower BIPythonFeature Engineering

Other Projects

completed

Swiss SL Database & Pricing Dashboard

Comprehensive specialty list database (2011–2025) built via XML parsing, with Power BI dashboards for pricing and limitation analysis at J&J.

PythonXML ParsingPower BISQL
completed

Chromatin Biomarker Classification

Machine learning pipeline for classifying chromatin organization patterns in diseased vs. healthy cells using synchrotron imaging data at Paul Scherrer Institute.

PyTorchDeep LearningImage ProcessingPython