Our Approach

To transform empirical observation to theoretical understanding, we apply a multi-faceted approach:

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1 Observation

We begin by gathering high-quality data through experiments, performed either in-house or by our collaborators. This step is critical for identifying patterns, proposing hypotheses, and pinpointing the key constituents driving the biological phenomenon.

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2 Large-Scale Simulation

Using state-of-the-art computational tools and high-performance computing resources, we translate our observations into detailed simulations. These allow us to explore complex, multi-scale phenomena with biologically-relevant particle numbers.

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3 Reduced Modeling

Insights from microscopic simulations are distilled into coarse-grained models that encapsulate the core mechanisms of the systems under investigation. These models strike a balance between complexity and interpretability, enabling robust predictions and theoretical advancements.

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4 Analysis

We rigorously analyze both simulations and models to uncover new insights, identify critical parameters, and validate results against experiments. The latter often involves advanced statistical methods, machine learning techniques, and collaboration with domain experts.

By studying how specific biological systems function and developing appropriate methods, we often gain insights into broader biological and physical principles.

News

Careers

Biophysical Modeling and CCB are hiring! We are looking for excellent postdoc candidates (apply here).