Kevin Chang

Undergraduate Student, University of Santa Barbara
Majoring in Applied Mathematics

Hi! Welcome to my page. I am passionate about the intersection between neuroscience and machine learning. I’m interested in furthering my education in computer science, as well as potential positions 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.

As a researcher in the Montell Lab, I used performed 3D image segmentation of large datasets using Ilastik, enabling accurate identification of cellular boundaries for statistical analysis. Each cell cluster’s surface profile was conformally mapped onto a sphere followed by 3D eigendecomposition.

• Methodologies: Python, MatLab, Ilastik

As an employee in the Biological Control, Computing, and Learning Laboratory, I revealed that certain DNA sequences led to differential expression outcomes by applying a range of clustering and dimensionality reduction techniques.I implemented feature encoding schemes to compare DNA sequence data with corresponding empirical measurements. 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.