Hello, my name is

Victoria Ono

Software Engineer

About Me

I'm a software engineer, passionate about technology and creating an equitable space within tech.

I recently graduated from Harvard College with a major in astrophysics and minor in computer science. I’ve always been passionate about science and technology, and in the last couple of years I’ve been focusing on creating positive impact on society with technology.

My passion lies in technological products that are designed to help solve specific problems for users. I’m invested in learning about their impact on an individual and societal level and thinking about how I can personally contribute to addressing their pain points. I’ve exhibited these interests through my experience in product management, project management, data analysis, app development, and UI/UX design.

Outside of my working hours, I love to cafe-hop, read, and shamelessly bother my neighbors by belting my heart out to Taylor Swift songs.

Projects

soulo

I recently published an iOS app with a friend of mine called soulo! I've learned so much about the MVVM architecture and SwiftUI after taking a break from mobile app development for a few years and I'm so happy to get back into developing something truly for the sake of it. Check it out here.

Debiasing with diffusion

For my senior thesis, I trained a diffusion model on CAMELS, a suite of cosmological simulations, to predict the unbiased distribution of dark matter density fields given stellar fields. I published my paper on the Astrophysical Journal here.

Data visualization of globular clusters

This was my first independent research project that I conducted after my freshman year. I ran simulations using Harvard's largest computing cluster and used Python to plot and run machine learning algorithms. Not only did I improve my coding and physics skills, but I also gained significant expertise in data analysis, data visualization, and machine learning.

Python plugin for glue

I debugged and added features to support the plotly plugin to export interactive figures rendered from glue, which is a Python library developed by my research advisor, used to create graphs that link multiple datasets. Some of the features I added were the error bars, color bars, histograms, and 3D figures.