Kevin Chang

Undergraduate Student, University of Santa Barbara
Majoring in Applied Mathematics

Hi! Welcome to my page. I am generally pretty open-minded in terms of what I do, but some topics I am particularly passionate about are machine learning, bio-inspired/neuromorphic computing, and computational neuroscience. I’m interested in furthering my education in computer engineering, as well as potential positions in the tech industry.

The best way to contact me is email: kevinchang@ucsb.edu

Experiences

For a more thorough breakdown of my experiences, refer to my CV.

I am implementing the Forward-Forward Algorithm within BINDSnet, a Python library for simulating spiking neural networks (SNNs) using PyTorch.

• Methodologies: Python, Pytorch

As a researcher in the Montell Lab, I used MatLab to perform a 3D image segmentation of large dataset using Ilastik, enabling accurate identification of cellular boundaries for statistical analysis.

• Methodologies: Python, MatLab, Ilastik

As an employee in the Biological Control, Computing, and Learning Laboratory, I developed a pipeline using Scikit-learn and K-means to preprocess and visualize gene expression data. I also performed “wet lab” techniques, including PCR, gel electrophoresis, and Gibson Assembly.

• CS Methodologies: Python, Tensorflow, Scikit-learn, Biopython, GeneiousPrime
• “Wet Lab” Techniques: PCR, colony PCR, Gel Electrophoresis, Gel Extraction, Gibson Assembly, Golden Gate Assembly, Mathematical Modeling (Matlab)

Current Projects:

Genetic sequence clustering using unsupervised clustering algorithms and applications in mapping genotype to phenotype

• Developing a genetic clustering algorithm using a k-means clustering algorithm. Comparing genotype with phenotype using statistical methods.

E. coli-Based Genetic Circuit Displaying Hysteresis

• Creating a E. coli-Based Geentic Circuit Displaying Hysteresis.