Juneki Hong

Santa Clara, CA

Projects

Selected work
Live

Orrery

Orrery's real-ephemeris view of the inner solar system, orbit rings and labeled bodies out to Jupiter Earth in Orrery's True Scale mode, showing continents and cloud cover in daylight Jupiter in Orrery, showing its bands and Great Red Spot with moons Io, Europa, and Callisto The Sun in Orrery's True Scale mode, showing rendered sunspots

A navigable WebGL solar system simulator built on Spacekit.js, that you can fly through in the browser.

Vite · Three.js · Spacekit.js
Engage → August 2026
Live

US Rent vs. Buy Map

Click any US parcel, pull a real rent estimate, and run the buy case against it — mortgage rate, appreciation, market returns, your own discipline as a saver.

rentvsbuymap.com
Open the map → March 2026
Live

Benchmarks

Which open-weight model is the best on an RTX 3060 (12GB)? An ongoing hunt across models and settings: official vs. abliterated weights, thinking mode on vs. off. As small models keep closing the gap on bigger ones, we'll chart that here too.

See the numbers → August 2026

Research

Prior life
Degree
PhD, Computer Science
Oregon State University, 2022
Advisors
David Hendrix
Liang Huang
Publications
ACL · TLT · SLaTE · MLCB

I completed my Ph.D. in Computer Science at Oregon State University in 2022.

I was advised by David Hendrix and Liang Huang. We studied how algorithms paired with deep learning models (such as RNNs and Transformers) can predict structures from RNA and Protein sequences, as well as how they can encode syntax in human languages.

For my masters at CMU, I worked with Jaime Carbonell and Anatole Gershman to build a virtual assistant for self-driving cars, and I worked with Roni Rosenfeld on the Polly Telephone system, where I built and deployed telephone applications that spread messages about Ebola to people in affected West African countries.

I worked with my undergrad advisor Jason Eisner on Transition-Based Dependency Parsing, trying to introduce backtracking to an Arc-Eager Transition-Based Dependency Parser.

I am generally interested in developing algorithms for Structured Prediction tasks in sequences.

Publications & CV →