Tuan Anh Dang, Master of Engineering in Computer Science Department of Computer Science Cornell University, NY, USA Contact Email: td296@cornell.edu Phone: +1 917 324 7209 About me Hello, my name is Tuan and after finishing Master of Engineering in CS @ Cornell, I am doing research in LLM code generation and testing OmniCode (formerly CodeArena). Other areas of Machine Learning research experience/interest include CV and RL. Past data science and econometrics work in experimentation and causal inference for Walmart.com Ad Load Optimization. For more information, you can view my full credentials on LinkedIn. Personal Projects A. Sowane, C. Beger, T. A. Dang, K. Ellis, S. Dutta, etc.: CodeArena. January-2025. Meta Grant. T. A. Dang, D. McKee: Economic Education Lab. March-2024. (website) Cornell Unmanned Air Systems, T. A. Dang: Autopilot, back-end communication with Interops. Jan-2023. (Team) T. A. Dang, T. Duan, B. Rubin, R. Valiveti: TODOCAML, a terminal-based productivity app. Apr-2022. (GitHub) Cornell Quant Fund, T. A. Dang: Transferability of Volatility Between ETF Holdings. Feb-2022. (GitHub) T. A. Dang, IBM Thomas J. Watson Research Center: ML apprentice, OL problems and CV classifiers. June-2021. (GitHub) Awards OmniCode: A Diverse Software Engineering Benchmark for Evaluating Large Language Models submitted to NeurIPS 2025 for Review 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 The contents of this page are the responsibility of the author and do not necessarily represent the views, policies or opinions of the Cornell University