# Henry Houghton

> CS @ Georgia Tech + 10a Labs

Location: Belvedere Tiburon, California, United States
Profile: https://flows.cv/henryhoughton

I graduated in 2025 from Cornell and now am working at 10a Labs and studying for my master's degree at Georgia Tech.

I am quite interested in avionics, derivatives pricing, topology, bit correction, and snow leopard conservation. In my free time I enjoy playing the piano, guitar, and violin.

Definitely go download LectureLink and Lethe chess from the iOS App Store.

## Work Experience
### Red Team Engineer @ 10a Labs
Jan 2025 – Present
stuff

### Summer Financial Analyst @ Delta Investment Management
Jan 2025 – Jan 2025 | San Francisco, California, United States
FX and Equities Trading.

### Software Engineer I @ Badger Meter
Jan 2025 – Jan 2025 | Milwaukee, Wisconsin, United States
Identity and Access Management Team

### Software Engineer Intern @ Badger Meter
Jan 2022 – Jan 2025 | Los Altos, California, United States
API, Web-Services, and Analytics Teams

### Firefighter in Training @ Varna Volunteer Fire Company
Jan 2024 – Jan 2024 | Varna, New York, United States
Fire Police certified.

### Cadet @ Army ROTC (Official Page)
Jan 2021 – Jan 2024 | Ithaca, New York, United States
Awarded National Merit Scholarship.
Received leadership development, military skills and career training.
Graduate of Basic Airborne Course at Fort Moore Class 24-23 in June 2023.

### Scientific Researcher @ J2 Lab
Jan 2021 – Jan 2022 | Ithaca, New York, United States
Developing a neural network with high-throughput chemical simulations to parameterize molecular models.

Entire project overview from jingjieyeo.github.io/projects:

Solid and fluid mixtures consisting of multiple chemical elements or molecules are ubiquitous, ranging from bio-based fluids to biomedical-grade alloys and composites. The combinatorial possibilities of these mixtures result in a massive set of potential material properties. To sift through these material properties in a humanly tangible manner, we adopt high-throughput computational simulations for establishing a comprehensive database of material properties. We also aim to train machine-learned models with high-throughput chemical simulations to parameterize molecular models. Simulations with these molecular models will be coupled with material databases of material properties for bio-based fluids, biomedical alloys, and high-entropy alloys and ceramics. Through this materials informatics approach of unifying machine learning, big data, and computational simulations, we hope to discover a broad multitude of advanced materials with highly customizable properties.

### Programming Intern @ Soap Public Media
Jan 2019 – Jan 2019 | Palo Alto, California, United States
Worked as the lead for their Snapchat lens outreach program. Built a Snapchat lens from scratch based on the ideas of their product marketing specialist to incorporate the ideas of the company. This lens was later used in an ad campaign and presented to Snapchat's head of media.

### Intern @ Imaginary Forces
Jan 2019 – Jan 2019 | Los Angeles, California, United States
Assistant to the head of business development, Maximillian Linnett. Also shadowed the creative director, Karin Fond.


## Education
### Master of Science - MS in Computer Science
Georgia Institute of Technology

### Bachelor of Science - BS in Information Science with a Concentration in Data Science
Cornell University

### AC 215: Business Analysis and Valuation in Business/Managerial Economics
The London School of Economics and Political Science (LSE)

### High School Diploma in Mathematics and Computer Science
Redwood High School, TUHSD


## Contact & Social
- LinkedIn: https://linkedin.com/in/henry-houghton

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Source: https://flows.cv/henryhoughton
JSON Resume: https://flows.cv/henryhoughton/resume.json
Last updated: 2026-04-10