1.

Cell Probe

2.

Cell CAD

3.

Cellular Legos

4.

The Living Bioreactor

THEME 2

CELL CAD

Changing cell or tissue structures requires changing the molecular state of cells. However, we do not know how to translate cell and tissue structures into the molecular programs that encode them. We propose to take two complementary approaches towards solving this problem: we will build mathematical models from first principles and identify the key parameters in these models that are amenable to programming; and we will train machine learning algorithms to recognize non-linear correlations between molecular state and physical structure that can be exploited for design.

TEAM

Simone Bianco (Theme Lead)
Data-driven and model-driven approaches to CellCAD

Shawn Douglas 
Building CAD software tools for tissue self-assembly

Wallace Marshall
Morphological state space modeling; Coarse grained models of organelle size

Hana El-Samad
Using coarse grained models as design tools

Diana Chu
Modeling mitotic spindles

Mark Chan
Modeling vacuole dynamics

Blake Riggs
Coupled inheritance of organelles

John Dueber
Modeling peroxisome dynamics