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Projects and research

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Projects/Research

Explore work

DEEP Sea explorAtions

Consulting Projects

digital pcr

Project with GreenLight Biosciences inc. to improve the quantification and precision of proprietary residual (e. coli) plasmid DNA in drug product

Essence neural networks

Project for class final, programming logic, supervised and unsupervised learning

spike neural networks

Independent project to investigate spike timing dependent plasticity

high throughput drug screening using 2D cell culture

Project with Merck Sharpe and Dohme to automate the small molecule drug screening process, using cells of cultured plates, HPLC and mass spectrometry

Game of life

Individual project to investigate/experiment how complexity and stability can emerge using the rules of Conway’s Game of Life

DNA chromatography and fractionation

Project with Integrated DNA Technologies to automate the fractionation step of the purification process, improving yield and purity and on time delivery by decreasing final product fails and remakes

Research & development

C. elegans sleep & deprivation study

This study was meant to elucidate the effects of sleep deprivation on the length and quality of C. elegans sleep. Molecular changes were then investigated, especially adenosine, a chemical known to accumulate with more time awake. In the future, the goal is to elucidate which neurons, and which circuits and genes are involved in recovery sleep after deprivation.

Drosophila per memory assay

This assay was designed to investigate gustatory memory in drosophila. Different genetic variants were tested with sugar water and bitter water, then sugar water again to see how quickly the learned. Proboscis extensions were used measure learning. to determine which genes were involved in gustatory memory in flies.

Sleep for science food choice study

The purpose of the Sleep for Science food choices study is to understand how sleep duration and sleep quality influence the foods people choose, particularly decisions related to nutrition, appetite regulation, and metabolic health.

3D model showing mood disorder states like anxiety, depressive, euthymic, hypomanic, manic with transitions and energy barriers

applying dynamical systems theory to mood state transitions

The purpose of the Mood state transition study is to investigate how open source actigraphy data paired with machine learning can be used to predict mood state transitions (euthymic -> depressed, euthymic -> manic), using the features of Critical Slowing Down in Bifurcation Theory