resume

PhD in Robotics

Carnegie Mellon University

MS in Robotics

Carnegie Mellon University

BASc in Engineering Science, Electrical and Computer Engineering

University of Toronto

FAST-EQA: Efficient Embodied Question Answering with Global and Local Region Relevancy

IEEE/CVF Winter Conference on Applications of Computer Vision 2026

SORT3D: Spatial Object-centric Reasoning Toolbox for Zero-Shot 3D Grounding Using Large Language Models

IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025

IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes

IEEE International Conference on Robotics and Automation, ICRA 2025

VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation

Presented at the 1st Workshop for Semantic Reasoning and Goal Understanding in Robotics (SemRob), Robotics Science and Systems Conference (RSS)

Computational Pathology: A Survey Review and the Way Forward

Journal of Pathology Informatics

Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval

ACM SIGIR Conference on Research and Development in Information Retrieval

Research Assistant (PhD)

CMU Robotics Institute

Research in vision-language-action (VLA) models, semantic understanding, and linguistic generalization through post-training. Advised by Prof. Yonatan Bisk

Research Intern

Honda Research Institute

Robotics research intern on the Systems Engineering team

Graduate Teaching Assistant

CMU Robotics Institute

Teaching Assistant for graduate-level course 16-831 Introduction to Robot Learning with Prof. Guanya Shi

Graduate Research Assistant

CMU Space CPS

Research in visual onboard determination of orbit for cube satellite systems. Advised by Prof. Brandon Lucia

Research Assistant (Master's)

AirLab & Field Robotics Center, CMU

Research in 3D scene understanding and interactive natural-language navigation for autonomous agents. Organizer of CMU VLA Challenge and IROS 2024, 2025 Workshop. Advised by Profs. Wenshan Wang, Ji Zhang

Thesis Student

Data-Driven Decision Making Lab, UofT

Curated novel natural-language multi-aspect preference retrieval (MPR) dataset and implemented benchmarking methods. Advised by Prof. Scott Sanner

ML System Software Engineering Intern

Qualcomm

Software development on embedded AI compiler pipeline and R&D experiments on fine-tuning embedded AI models.

Research Student

Multimedia Laboratory, UofT

Analyzed histological tissue types with deep learning methods and contributed to large-scale computational pathology survey. Advised by Mahdi Hosseini

Data Science and QA Intern

SensorUp Inc.

Extracted and analyzed geospatial data and load-tested software frameworks.

Committee Member

Women@SCS, SCS4All

Research Mentor

UofT Machine Intelligence Student Team

Undergraduate AI Mentor

CMU Paths to AI Research Mentoring Program

Campus Affairs Committee Member

Graduate Students Association

IEEE Toronto Student Scholarship

IEEE Toronto Section

Bruno D. Stefano Scholarship

IEEE Toronto Section

Laura Chizuko Fujino Scholarship in Engineering Science

University of Toronto

ESROP Research Fellowship

University of Toronto Division of Engineering Science

Dean's Merit Award

University of Toronto Faculty of Engineering