I joined the Kapteyn-Murnane Group at the University of Colorado Boulder in May 2024. So far, I’ve built a microscope with a resolving power of 20 microns that hangs over our beamline to image the laser coupling into the fiber, a multi-pass cell that passes a beam between two concave mirrors up to dozens of times to temporally shorten and spectrally broaden pulses, and I’ve been working on metallizing crystals for better cooling.

Check out the KM Lab project page to learn more! 🡆

Although I’m interested in a whole bunch of applications of physics, my physics research so far has focused on mathematical analysis of biological systems. In 2020 I started working with Dr. Janet Sheung at Scripps College on understanding iridescence in groups of bacteria or chameleons, produced by grids of cells creating structural color. I LOVED working with light, but didn’t get back to the field until 2022.

Dr. Sheung’s research group was trying to track regeneration by analyzing motility rather than morphology.

I did background research on regulation of genes during cell regeneration, worked on the MATLAB code used for cell tracking, and edited the journal paper, which was published in the Journal of Visualized Experiments. I also made ✨Stentor illustrations✨ for the paper.

Basically, we were chopping off the head of this single-celled organism and then instead of just watching what it physically looks like, we tracked how it was moving around its space to see if it was fully regenerated or not.

🡄 Wanna learn more about this research? Check out the Stentor project page!

Starting with a differential equation, I adapted the equation to fit a model of E. coli predicting the chemical concentration of allolactose in its environment. I solved the differential equation in Python for a single input function, used the Euler approximation to solve it for a vector of functions, used regression analysis to predict all functions, and finally applied the virtual E. coli system to video prediction.

Basically, E. coli networks are pretty good at predicting chemical concentrations in their environment in real life, so I modeled that in Python and tried to get my model network to predict video–it worked ok!!

A paper describing these results was published in Biosystems in January 2024!

🡄 Wanna learn more about this research? Check out the E. coli project page!

I then predicted the force exerted on trapped beads by following the path of all possible rays from a diverging beam incident on a spherical bead in an optical trap. I then summed up all force contributions from input reflection, input refraction, first output reflection, and first output refraction for each ray. This ray analysis in combination with the measured power level of the optical tweezers predicted a net force on the scale of 10^(-13) N exerted on the bead–which matched the measured force!!

For my senior thesis project at Scripps, I built an optical tweezers setup for Dr. Sheung’s lab (it broke a million times but it worked in the end!)

Optical Tweezers

I built an optical tweezers setup, predicted the force exerted on trapped beads, and measured the actual force.