Eugene Sy
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Taipei, TW - updated: July 13, 2025 - Academic & Professional Overview
A professional photo of Eugene Sy
Eugene Sy, Ph.D. Student at National Taiwan University & Academia Sinica.
Engineering the Future of Intelligent Systems

Bridging Data Science and Human-Centric Solutions

As a Ph.D. student in Artificial Intelligence of Things (AIoT), I bridge the gap between cutting-edge research and real-world solutions. My work, in a joint program with National Taiwan University and Academia Sinica, is dedicated to building robust AI solutions for complex challenges in finance and healthcare.

With a strong foundation in Data Science and Electronics Engineering, I specialize in Natural Language Processing (NLP) and Large Language Models. My research focuses on transforming complex, multi-modal data into actionable insights, leveraging deep learning to develop tools that deliver measurable, high-impact results in financial text analysis and clinical decision support.

Academic Journey & Research Focus

From Engineering Foundations to AI Frontiers

Core Mission:

My research targets the intersection of language, health, and finance. I build and refine deep learning architectures to translate complex data into solutions for real-world challenges.

  • Core Areas: Natural Language Processing (NLP), Large Language Models, Wearable Bio-Data.
  • Application Domains: Financial Text Mining, Clinical NLP.
  • Technical Focus: Deep Learning Architectures (Transformers, GNNs), Multi-modal Learning, Transfer Learning, Ensemble Methods.
Education:
  • Ph.D. in Artificial Intelligence of Things
    National Taiwan University (2024 - Present)
  • M.S. in Data Science (Class Valedictorian)
    Taipei Medical University (2022 - 2024)
  • B.S. in Electronics Engineering
    Far Eastern University (2015 - 2021)
Key Research Contributions

Published & Peer-Reviewed Projects

The following projects highlight a proven ability to lead research and deliver measurable results. For a complete list, please visit my Google Scholar profile.

Highlighted Projects:
  • Ensemble BERT for Financial Sentiment: Developed a novel ensemble model achieving top-tier Macro-F1 scores of 77.08% for argument unit identification and 57.90% for relation classification in financial texts. Published in Journal of Information Science and Engineering, 2025
  • AI-Powered Medical Data De-identification: Engineered an enhanced T5-based model that significantly improved the accuracy of processing and protecting sensitive patient information in pathology notes. Published in Intl. Workshop on Deidentification of EHR Notes, 2024
  • NTCIR-17 FinArg-1 Task: Led team to 1st place in Argument Unit Identification and 3rd place in Argument Relation Identification by deploying an advanced ensemble learning strategy on conference call transcripts. Published in NTCIR Conference Proceedings, 2023
Experience & Honors

A Chronicle of Professional Recognition

Professional History:
  • Part-time Data Scientist
    Bilingual Education Promotion Center, TMU (2023 – 2024)
    Applied advanced data analysis to drive evidence-based strategies for the university's global education initiatives.
  • Mandarin Bilingual Finance Analyst
    Accenture (2021 – 2022)
    Led the APAC invoice review team, achieving a consistent 0% error rate and fostering key client relationships during a critical transition period.
Select Awards:
  • TIGP Scholarship – Academia Sinica (2024)
    Full PhD Fellowship Award
  • Fubon Life Thesis Award (2024)
    Nationwide Research Excellence Recognition
  • Class Valedictorian – Taipei Medical University (2024)
    Highest Academic Achievement
Leadership Portfolio

Driving Innovation Through Collaboration

Academic Leadership:
  • Head of Events' Team
    Office of Global Engagement's OGE Squad, TMU (Oct 2022 – Dec 2023)
    Led the Events Team in organizing successful programs that promoted community and relationship building among international and local Taiwanese students, including TMU Christmas Party, Cooking Competition, and International Cultural Dance Night.
Professional Leadership:
  • APAC Invoice Review Team Lead
    Accenture (Nov 2021 – Aug 2022)
    Led the Asia Pacific Region invoice review team, strategically allocating workloads to ensure a consistent 0% error rate for invoices from Australia, China, Hong Kong, and Taiwan.
  • Client Relations Lead
    Accenture (Nov 2021 – Aug 2022)
    Led weekly client touchpoint meetings for 7 months, fostering strong client relationships and consistently receiving positive feedback through clear and effective communication.
Technical Arsenal

Tools & Technologies Mastery

Programming Languages:
  • Primary: Python, C, LaTeX
  • Engineering: MATLAB, Simulink, Multisim, CAD
Machine Learning & AI:
  • Frameworks: PyTorch, TensorFlow/Keras, HuggingFace, Scikit-learn
  • NLP Libraries: spaCy, NLTK, Gensim, WordCloud
  • Data Science: Pandas, NumPy, Matplotlib, Seaborn
Deep Learning Architectures:
  • Transformers: BERT, RoBERTa, T5, ELECTRA
  • Neural Networks: GNNs, RNN/LSTM, CNN, FFNN, Autoencoders
Mathematical Foundation:
  • Statistics: Probability Theory, Inferential Statistics
  • Mathematics: Linear Algebra, Calculus
Connect & Collaborate

Building Bridges Across Disciplines

Let's Connect:

I welcome opportunities for collaboration and discussion. Please feel free to connect with me for research partnerships, academic exchanges, or innovative project development.

Contact Information: Open to:
  • Research Collaborations
  • Conference Presentations
  • Peer Review Activities
  • Industry Consulting
  • Academic Mentoring
Research Interests:

Natural Language Processing, Clinical AI, Financial Technology, Wearable Health Monitoring, Cross-lingual NLP, Ensemble Learning Methods