🚀 Computational Biologist | AI for Science | Data Enthusiast
- 🎓 Master's student of Computational Biology at ETH Zurich, specializing in machine learning for scientific applications
- 🧠 Interested in deep learning, probabilistic modeling, and neural operators applied to real-world data
- 🚑 Passionate about leveraging ML to tackle challenges in healthcare and the life sciences
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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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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 – Allen-Cahn (2024) Implemented Foundation Neural Operators to solve the Allen–Cahn PDE, exploring generalization across initial conditions.
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FNO – Wave Equation (2024) Trained Fourier Neural Operators on synthetic wave equation data to model spatiotemporal dynamics.
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Reinforcement Learning – 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 – Satellite Image Classification (2024) Developed a BNN with SWAG to classify satellite images while quantifying uncertainty and detecting unknown classes.
