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PHYSICS MODELS

2006-2009

Statistics on Physical Interactions of Random 3D Objects
On Zurich buses and trams, I wrote a model where I could measure how a point particle perfectly-elastically collides within a random object.  Ohhh... I see a pattern.
High Pressure Spaces 
I adjust the relationship and geometry of two circular walls and investigate how particles interact with the walls... more to see elsewhere.
Segregation by Attraction
In this model, I modeled viscoelastic biological cells in a viscous environment and gave the red cells stronger attraction (elastic spring) coefficient  with themselves than green cells.  Over time, as you may expect, an aggregate forms with green cells surrounding the red cells.  This happens for any initial organization of the cells.
Making room for family
In this model, I modeled viscoelastic biological cells proliferating in a viscous environment trapped under a glass pane.  If you see closely, you can see the cells experience tensile and compressive stress by their color change.  Also since I programmed this to be as realistic as possible, the cells can form and remake adhesions with their neighbors.  You want your cells to stay together as you grow!  I recommend watching this on loop.
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"Russian Doll"
What happens when you place an elastic structures inside of larger version of itself.. and keep going until you have a matryoshka doll (russian doll) scenario?  Doesn't energy dissipate a lot faster than if structures hit each other in series?  ... I usually simulate particles interacting with each other from an outward surface, so I wanted to investigate internal.  2D and 3D version in progress.
Cell Polarity Through Contact
How do cells know what is INSIDE and what is OUTSIDE?  One theory is cell-cell contact.  In this simulation, cells (the black dots) build cell adhesions (red line) to another cell, and the net force vectors of attraction and repulsions create the polarity vector (black line)  -  thus telling the cell what is inside and what is outside.  Coded in Matlab, in 2008. Enjoy!
Snippets of a Molecular Dynamics Simulation, circa 2008
While in ETHZ I wrote a bunch of simulations to explore the patterns formed when you give physical rules to point particles.  What fun those simulations produced!
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Aw, my first image analysis software
Before the popularity of deep learning, I coded a pattern-matching algorithm to help biologists quantify complicated hippocampal neuron images.  When was this?  2005 at  Rutgers University.
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