Experience

Neomorph, Inc (Biotech Company) | San Diego, California Data Science Intern | Oct 2022 – Mar 2023

Trained, tested, deployed, and maintained a classification based machine learning model to predict protein degradation with R packages, assisting scientists in discovering protein targets for the compound library
Initialized and deployed AWS server instances with Docker containers to launch predictive models on Jupyter Notebooks, ensuring ease of model deployment and resource efficiency
Developed an interactive web app with R to visualize over 300 protein-compound interactions

Salk Institute | San Diego, California Data Science Researcher | Sep 2022 - Oct 2022

Deep Learning research under Dr. Talmo Pereira.
Leveraged deep learning for pose estimation and tracking to quantify animal behavior and movement.
Developed a data loader to batch a series of images, randomly augmenting them to improve model performance and prevent overfitting.

Neomorph, Inc (Biotech Company) | San Diego, California Data Science Intern | June 2021 - Sep 2021

Analyzed protein-compound interaction data to find possible relationships between compound structure and protein degradability for a cheminformatics project.
Maintained and updated local and online databases with accurate and current information.
Developed an interactive R web page to view visualizations and insights from data.
Clustered compounds with a T-SNE plot, highlighting 7 different groups of compounds.
Visualized compound clusters with ggplot2 in R with a hover view.

Center for Astrophysics and Space Sciences | San Diego, California Data Science Researcher Under Dr. Thomas Siegert | Jan 2020 – Dec 2020

Deployed Bayesian hierarchical models with Pystan to analyze satellite measurement data
Automated model fitting with bash scripts, reducing computation time by 75%
Visualized data with multiple graphics, including signal-to-noise ratio over time, and posterior distribution

Projects

CollabSource

Developed an open source project that helps developers find like-minded individuals to work on projects together
Configured a recommendation system with Python to suggest new projects to users based on their interests

Homologue Analysis

Developed Python code to download genomic data from the ensemble database with SQL queries and to visualize genomic data with a heatmap using matplotlib

<aside> 🧑‍💻 858-869-7017 [email protected]

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University Of California, San Diego BSc in Computer Science 2018 – 2023

Featured Courses:

Machine Learning, Database Systems, Software Engineering, Data Structures, Statistics

Achievements:

Provost Honors for maintaining a 3.5 GPA - 2020, 2021

• English