PhD StudentHello! I'm Daniel, a final year dual-degree Ph.D. student in Computer Science and Software Engineering at Carnegie Mellon University (CMU) and Instituto Superior Técnico (IST). I'm fortunate to be co-advised by Claire Le Goues, Ruben Martins, and Vasco Manquinho.
I develop both prototype and production-ready tools to automate a wide range of coding tasks, including code migration and test generation. My work combines machine learning and programming languages. I’m particularly passionate about foundational models for code and their applications.
UPDATE: I will be on the job market for research scientist/engineer positions in mid-2025. If my expertise aligns with your team or project needs, please feel free to reach out!
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Carnegie Mellon UniversityAug. 2020 - PresentPh.D. in Software EngineeringThesis: Automated API Migration and Refactoring for Evolving CodebasesFully supported by a CMU Portugal Fellowship (~USD 300,000)
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Instituto Superior TécnicoAug. 2020 - PresentPh.D. in Computer ScienceDual Degree Ph.D. program joint with CMU -
Carnegie Mellon UniversityAug. 2021 - Aug. 2023M.Sc. in Software EngineeringAwarded as a recognition of progress within the Ph.D. program.
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Instituto Superior TécnicoSep. 2017 - Sep. 2019M.Sc. in Computer Science and EngineeringThesis: Program Synthesis from Noisy DataMachine Learning Track, Grade: 19/20 (first class)
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Instituto Superior TécnicoSep. 2014 - Sep. 2017B.Sc. in Computer Science and EngineeringGrade: 18/20 (first class)
Experience
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Uber Technologies Inc.Summer 2024PhD Research InternResearch Group: Programming Systems GroupDeveloped a novel LLM approach for automatically generating tests and other code changes. -
Uber Technologies Inc.Summer 2023PhD Research InternResearch Group: Programming Systems GroupResearching and developing a novel polyglot language/toolset (named PolyglotPiranha) for large scale automated refactoring.
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INESC-IDNov. 2019- Aug. 2020Junior ResearcherResearch Group: Automated Reasoning and Software Reliability (ARSR)Worked on program synthesis for data wrangling and summarization -
Caixa Magica SoftwareSummer 2017Software Engineer InternDeveloped an optimizer based on local search to schedule the workers of the largest Portuguese electric utilities company.
Selected Publications (view all )
Are Language Language Models Memorizing Bug Benchmarks?
Daniel Ramos, Claudia Mamede, Kush Jain, Paulo Santos, Catarina Gamboa, Claire Le Goues
2nd International Workshop on Large Language Models for Code (LLM4Code) 2025 Spotlight
