Angelica Moreira

Senior Research Software Engineer

Publications

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- RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities
  
  Tamer Elsayed, Shiping Yang, Eunsong Koh, Sanika Goyal, Vincent Huang, Paul Ngo, Nathan Young, Mohammad Omidvar Tehrani, Alvyn Kang, Arnell Kang, Zeyu Chen, Angelica Moreira, Xuan Feng, Angel X. Chang, Nick Sumner, Steven Y. Ko
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants
  
  Bozhi You, Irene Wang, Z. Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, K. Pingali
  
  9th MLSys Conference 2026 | May 2026
  
  Publication Publication
- Flashlight: A PyTorch Compiler Framework for Accelerating Attention Variants
  
  Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali
  
  Ninth Annual Conference on Machine Learning and Systems (MLSys) | May 2026
  
  Preprint Publication
- PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations
  
  M. Tariq, Abhinav Jangda, Angelica Moreira, Madan Musuvathi, Tyler Sorensen
  
  December 2025
  
  December 2025
  
  Publication
- BEETLE: A Feature-Based Approach to Reduce Staleness in Profile Data
  
  Angelica Moreira, Guilherme Ottoni, Fernando Magno Quintão Pereira
  
  June 2023
  
  Publication Publication
- VESPA: Static Profiling for Binary Optimization
  
  Angelica Moreira, Guilherme Ottoni, Fernando Magno Quintão Pereira
  
  Proceedings of the ACM on Programming Languages | October 2021, Vol 5: pp. 1-28
  
  DOI Publication

- RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities
  
  Tamer Elsayed, Shiping Yang, Eunsong Koh, Sanika Goyal, Vincent Huang, Paul Ngo, Nathan Young, Mohammad Omidvar Tehrani, Alvyn Kang, Arnell Kang, Zeyu Chen, Angelica Moreira, Xuan Feng, Angel X. Chang, Nick Sumner, Steven Y. Ko
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Flashlight: A PyTorch Compiler Framework for Accelerating Attention Variants
  
  Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali
  
  Ninth Annual Conference on Machine Learning and Systems (MLSys) | May 2026
  
  Preprint Publication
- BEETLE: A Feature-Based Approach to Reduce Staleness in Profile Data
  
  Angelica Moreira, Guilherme Ottoni, Fernando Magno Quintão Pereira
  
  June 2023
  
  Publication Publication
- VESPA: Static Profiling for Binary Optimization
  
  Angelica Moreira, Guilherme Ottoni, Fernando Magno Quintão Pereira
  
  Proceedings of the ACM on Programming Languages | October 2021, Vol 5: pp. 1-28
  
  DOI Publication
- RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities
  
  Tamer Elsayed, Shiping Yang, Eunsong Koh, Sanika Goyal, Vincent Huang, Paul Ngo, Nathan Young, Mohammad Omidvar Tehrani, Alvyn Kang, Arnell Kang, Zeyu Chen, Angelica Moreira, Xuan Feng, Angel X. Chang, Nick Sumner, Steven Y. Ko
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants
  
  Bozhi You, Irene Wang, Z. Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, K. Pingali
  
  9th MLSys Conference 2026 | May 2026
  
  Publication Publication
- PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations
  
  M. Tariq, Abhinav Jangda, Angelica Moreira, Madan Musuvathi, Tyler Sorensen
  
  December 2025
  
  December 2025
  
  Publication
- Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants
  
  Bozhi You, Irene Wang, Z. Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, K. Pingali
  
  9th MLSys Conference 2026 | May 2026
  
  Publication Publication
- Flashlight: A PyTorch Compiler Framework for Accelerating Attention Variants
  
  Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali
  
  Ninth Annual Conference on Machine Learning and Systems (MLSys) | May 2026
  
  Preprint Publication

- RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities
  
  Tamer Elsayed, Shiping Yang, Eunsong Koh, Sanika Goyal, Vincent Huang, Paul Ngo, Nathan Young, Mohammad Omidvar Tehrani, Alvyn Kang, Arnell Kang, Zeyu Chen, Angelica Moreira, Xuan Feng, Angel X. Chang, Nick Sumner, Steven Y. Ko
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations
  
  M. Tariq, Abhinav Jangda, Angelica Moreira, Madan Musuvathi, Tyler Sorensen
  
  December 2025
  
  December 2025
  
  Publication
- Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants
  
  Bozhi You, Irene Wang, Z. Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, K. Pingali
  
  9th MLSys Conference 2026 | May 2026
  
  Publication Publication
- Flashlight: A PyTorch Compiler Framework for Accelerating Attention Variants
  
  Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angelica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali
  
  Ninth Annual Conference on Machine Learning and Systems (MLSys) | May 2026
  
  Preprint Publication
- BEETLE: A Feature-Based Approach to Reduce Staleness in Profile Data
  
  Angelica Moreira, Guilherme Ottoni, Fernando Magno Quintão Pereira
  
  June 2023
  
  Publication Publication
- VESPA: Static Profiling for Binary Optimization
  
  Angelica Moreira, Guilherme Ottoni, Fernando Magno Quintão Pereira
  
  Proceedings of the ACM on Programming Languages | October 2021, Vol 5: pp. 1-28
  
  DOI Publication

Angelica Moreira

Publications

RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities

Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants

Flashlight: A PyTorch Compiler Framework for Accelerating Attention Variants

PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations

BEETLE: A Feature-Based Approach to Reduce Staleness in Profile Data

VESPA: Static Profiling for Binary Optimization

RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities

Flashlight: A PyTorch Compiler Framework for Accelerating Attention Variants

BEETLE: A Feature-Based Approach to Reduce Staleness in Profile Data

VESPA: Static Profiling for Binary Optimization

RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities

Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants

PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations

Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants

Flashlight: A PyTorch Compiler Framework for Accelerating Attention Variants

RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities

PEAK: A Performance Engineering AI-Assistant for GPU Kernels Powered by Natural Language Transformations

Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants

Flashlight: A PyTorch Compiler Framework for Accelerating Attention Variants

BEETLE: A Feature-Based Approach to Reduce Staleness in Profile Data

VESPA: Static Profiling for Binary Optimization

Contact Angelica Moreira

Microsoft Research Lab – Redmond