Experience

Audio Applied Research Scientist Intern (Incoming) — Shure

Niles, IL · May ‘26 – Aug ‘26

• Will work on speech enhancement and recognition.

Applied Research Scientist Intern — Reality Defender

Manhattan, New York (remote) · May ‘25 – Sep ‘25

• Developed an in-context learning framework with large audio language models, achieving SOTA deepfake detection on in-the-wild speech (+54.9% avg Macro F1 improvement) (Natural Language Processing, RAG, ICL, Audio LLMs, and model routing).

Graduate Research Assistant — Under Dr. Yung-Hsiang Lu, Purdue University

West Lafayette, IN · Jan ‘24 – Present

• Developed an AI tutoring model with 6× higher F1 (AAAI 2025) and LadderSym with 2× better missed-note detection (ICLR 2026) (PyTorch, NLP, Audio Transformers).
• Leveraged HPC clusters and Linux environments to engineer generative pipelines for music mistakes, producing two datasets.
• Organized ‘AI for Music’ workshops at AAAI 2025, IEEE ICME 2025, and NeurIPS 2025, showcasing leadership and communication.

Startup Founder — LocaLens

West Lafayette, IN · Mar ‘23 – Jan ‘24

• Made an app for menu translation, currency conversion, and allergen alerts using Flutter and Android Studio.
• Built an MVP in 4 months with weekly sprints, emphasizing leadership and collaboration.
• Integrated Google ML Toolkit for cross-platform AI with computer vision and real-time deployment.
• Code: https://github.com/ben2002chou/local_lens_app

Research Assistant — Under Dr. Hsun-Ping Hsieh, National Cheng Kung University

Taiwan · Mar ‘23 – Aug 2023

• Raised cancer-screening invitation accuracy to 83% using scikit-learn and tree-based classification (machine learning, statistics, data science).
• Elevated flash-chip yield by 17% with ensembling and Gaussian processes (NumPy, pandas).