About Me
I am a Master’s student in Machine Learning and Data Science at Northwestern University and a Visiting Student Researcher at Stanford’s Trustworthy AI Research Lab, working with Professor Sanmi Koyejo.
My research focuses on developing trustworthy and reliable large language models, with particular interests in:
- Fine-grained evaluation frameworks for identifying strengths and limitations of LLMs
- Synthetic data generation to induce and refine desired model behaviors
- Efficient machine learning algorithms for large-scale model training and adaptation
Education
 | Northwestern University | Evanston, IL M.S. in Machine Learning and Data Science (December 2025) GPA: 3.98/4.0 |
 | Drexel University | Philadelphia, PA B.S. in Chemical Engineering (September 2023) GPA: 3.77/4.0 | Award: Students Tackling Advanced Research Scholars |
Experience
Research
 | Visiting Student Researcher | June 2025 – Present Stanford Trustworthy AI Research Lab, Stanford University |
| | Graduate Research Assistant | June 2024 – May 2025 Center for Deep Learning, Northwestern University |
Professional
 | AI Engineer Intern | September 2025 – Present Sabre Holdings (Remote) |
 | Applied AI Intern | September 2024 – May 2025 Mintel Group (Remote) |
Recent News
- December 2025: Two papers accepted to AAAI 2026 Workshop on AI for Governance - Cultural Understanding and Reasoning Evaluation and Toward Comprehensive Cultural Alignment in LLMs
- November 2025: Paper accepted to IEEE BigData 2025 - Gradient Boosting in Image Classification
- October 2025: Paper accepted to ICDM 2025 Workshop on Multimodal AI - Topic Analysis with Side Information
- September 2025: Paper accepted to NeurIPS 2025 Workshop on Optimization - Efficient Training of CNN Ensembles
- November 2024: Paper accepted to IEEE BigData 2024 - Stochastic Large-Scale Algorithms with Distributed Features