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Tuan Anh Dang, Master in Computer Science

Contact

Email: tuandang@mit.edu
Phone: +1 917 324 7209

About me

Hello, my name is Tuan and after finishing Master of Engineering in CS @ Cornell—where I did research into LLM code generation and testing Omnicode. I am working at Microsoft Research on AI-crawler blockage, building news extraction pipelines and agents for small businesses while taking classes at MIT.

Other research experience/interest in Machine Learning include Computer Vision and Reinforcement Learning, while past data science and econometrics work in experimentation and causal inference for Walmart.com Ad Load Optimization. For more information, you can view my LinkedIn.

Projects and Research Publications

    1. A. Sowane, C. Beger, T. A. Dang, K. Ellis, S. Dutta, etc.: Omnicode: A Benchmark For Evaluating Software Development Agents. Feb-2026. White Paper.

    2. T. A. Dang: AI-powered Insights Platform that analyzes customer support tweets. Jan-2026. Demo.

    3. T. A. Dang, D. McKee: Economic Education Lab. March-2024. (website)

    4. Cornell Unmanned Air Systems, T. A. Dang: Autopilot, back-end communication with Interops. Jan-2023. (Team)

    5. T. A. Dang, T. Duan, B. Rubin, R. Valiveti: TODOCAML, a terminal-based productivity app. Apr-2022. (GitHub)

    6. Cornell Quant Fund, T. A. Dang: Transferability of Volatility Between ETF Holdings. Feb-2022. (GitHub)

    7. T. A. Dang, IBM Thomas J. Watson Research Center: ML apprentice, OL problems and CV classifiers. June-2021. (GitHub)

Awards

  • 1st Placed Team (of 60 Competitors) Jane Street Cornell Estimathon, 2024
  • Yearly IBM Thomas J.Watson Research Scholarship, 2021-2025
  • Dean’s List All Semesters, 2021-2025
  • Abstract Accepted and Presented at American Economic CTREE, 2023.
  • 2nd at Cornell Quant Mock Trading Competition, 2022
  • American Invitational Math Exam & AMC 12 with Distinction, 2021
  • Top 2.5% of Competitors ranked by Mathematical Association of America, 2020
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