๐ Computational Biologist | AI for Science | Data Enthusiast
- ๐ MSc in Computational Biology from ETH Zurich, specializing in machine learning for scientific applications
- ๐ง Interested in deep learning, probabilistic modeling, and neural operators applied to real-world data
- ๐ Passionate about leveraging ML to tackle challenges in healthcare and the life sciences
Inference-Time Guidance in Pocket-Conditioned Molecular Diffusion Models: Limits in Preventing Steric Clashes (2026) Implemented a structure-based molecular diffusion model using geometric classifier guidance derived from protein side-chain interactions to steer ligand generation within binding pockets.
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ICU Time-Series Mortality Prediction (2025) Built deep learning models and LLM prompts to predict ICU patient mortality from multivariate 48-hour time series data.
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Interpretable Medical Prediction Models (X-Rays | Tabular) (2025) Developed interpretable ML models for pneumonia detection from chest X-rays and heart failure prediction, combining CNN-based explainability (Integrated Gradients, Grad-CAM) with transparent tabular methods (Logistic Lasso, SHAP, NAMs).
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Bayesian Optimization for Molecule Design (2024) Applied constrained Bayesian optimization to tune molecular structures balancing bioavailability and synthesizability.
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cfDNA Machine Learning Analysis (2022) Analyzed cell-free DNA profiles with classical ML to detect disease-relevant patterns from multi-cohort patient datasets.
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Foundation Neural Operator โ Allen-Cahn (2024) Implemented Foundation Neural Operators to solve the AllenโCahn PDE, exploring generalization across initial conditions.
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FNO โ Wave Equation (2024) Trained Fourier Neural Operators on synthetic wave equation data to model spatiotemporal dynamics.
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Reinforcement Learning โ CartPole (2024) Implemented TD3 (Twin Delayed DDPG) for solving the classic CartPole swing-up control problem in continuous action space.
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BNN โ Satellite Image Classification (2024) Developed a BNN with SWAG to classify satellite images while quantifying uncertainty and detecting unknown classes.