Résumé
Last updated: May 2025
PDF version coming soon
Jackson Eshbaugh
Computer Science & French student at Lafayette College (’27), focused on machine learning interpretability, multilingual NLP, and applying computer science to cross-disciplinary research.
🎓 Education
Lafayette College
B.S. in Computer Science (expected 2027)
A.B. in French Language (expected 2027)
GPA: 4.0 / 4.0
🔬 Research Experience
Excel Scholar
Research Assistant, Department of Computer Science
Lafayette College · January 2025—Present
- Investigating interpretable machine learning and energy equity
- Collaborating with Professor Jorge Silveyra
- Project: Improving Energy Security with Neural Networks and Decision Trees
→ See details
Undergraduate Thesis
Departments of Computer Science & Language and Literacy Studies
August 2025—Present
- Developing idiom detection methods for French using NMT
- Integrating linguistic theory with neural models
→ More info
👨🏫 Teaching Experience
Teaching Assistant
Department of Computer Science
Fall 2024, Spring 2025, Fall 2025
- Supported instruction for introductory CS courses
- Designed and led review sessions and debugging labs
→ See teaching overview
🧠 Coursework Highlights
- Machine Learning
- Theory of Computation
- Principles of Programming Languages
- Data Structures
- Systems Programming
- French Literary Analysis
🛠️ Technical Skills
Languages: Python, Java, JavaScript, SML
ML Frameworks: TensorFlow, scikit-learn
Web Dev: Flask, NodeJS, SQL, Jekyll
Tools: Git, VS Code, JetBrains IDEs, \( \LaTeX \)
