CV

Teaching Assistant

Arizona State University

Supports teaching in graduate-level data mining with a focus on classification, model selection, and clustering.

• Assisted in teaching data mining concepts, helped students through office hours.
• Lectured on deep neural networks and transformer architecture.

Research Assistant

Arizona State University

Conducts research on sim-to-real techniques in multi-agent reinforcement learning and bridges the gap between simulation and reality.

• Comprehensive literature review on sim-to-real transfer techniques.
• Contributions to MARL research with evaluations on traffic signal control.
• Exploration of MARL techniques and open challenges.

Undergraduate Researcher

University of Cincinnati

Advanced explainable machine learning through provenance-based explanation methods.

• Analyzed and implemented ML explanation methods.
• Enhanced model explainability for classic supervised models.
• Transformed ML queries into Datalog queries capturing provenance.

PhD

Arizona State University

Computer Science

• CSE 574 Planning/Learning Methods AI

Bachelor of Science

University of Cincinnati

Computer Science

• Machine Learning
• Deep Learning
• Intelligent Data Analysis
• AI Principles and Applications
• Design and Analysis of Algorithms

Provenance-Based Explanations for Machine Learning (ML) Models

IEEE ICDEW

Presented at the International Workshop on Databases and Machine Learning (DBML 2023), focusing on provenance-based explanations for ML models.