CLASIC Capstone Projects Showcase

CLASIC students investigate a wide variety of questions for their CAPSTONE projects, developed through internships or faculty-supervised research.

Matt B capstone picture

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Shiyue Hu presenting capstone poster
Jasper Wilkerson presents capstone poster
Here are some CAPSTONE posters presented by CLASIC graduates in recent years.

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Mitchell Allen (2023) "DLT2: Dating Latin Texts with Deep Learning Techniques"

Sean von Bayern (2025) "Golden Retrievers: Fetching Expert Curriculum Knowledge to Enhance Pedagogical Agents"

Paul Bontempo (2026) "GraphSpect: Automating Aspect Prediction for Structured Meaning Representations"

Alvin Chen (2025) "Effects of Collaboration on the Performance of Interactive Theme Discovery Systems"

Alexis Cooper (2025) "Tree-Planted Translation for Free-Order, Case-Marking Languages"

Nicholas Derby (2026) "AutoPrompt: An Automated Prompt-Tuning Tool"

Ray Groshan (2025) "Is linguistically-motivated data augmentation worthwhile?"

Shiyue Hu (2026) ""

Zilong Li (2025) "Modeling Native Chinese Speakers’ Acquisition of Japanese Kanji Pronunciation"

August Milliken (2026) "An Investigation of Improving Data Classification with Natural Language: Predicting Baseball Plate Appearance Outcomes"

Luna Peck (2025) "ConEm: Learning Embedded Concept Representations from LLMs"

Kushal Sai Ravindra(2026) "UtteranceIQ: A voice driven, evidence-based interview evaluator with auditable scoring"

Federico Ortega Riba (2026) "Pushing on LLMs’ Knowledge of the Caused Motion Construction"

Reece Suchocki (2023) "SCI 3.0: A Web-based Graphical Interface for Schematic Event Curation"

Mike Wang (2025) "MAMORX: Multi-agent Multi-Modal Scientific Review Generation with External Knowledge"

Jasper Wilkerson (2026) "Audio Deepfake Detection using Reflection Coefficient Vocal Track Modeling"