Experience

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 than prior work, accepted to AAAI. PyTorch, NLP, and 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.

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.
  • Elevated flash-chip yield by 17% with ensembling and Gaussian processes. numpy, pandas.