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M.S.

University of California, San Diego

Computer Science and Engineering

B.S.

University of California, San Diego

Data Science & Probability and Statistics

Graduate Researcher

UCSD, Protolab

Investigating generative models for contextual multimodal documents to aid designers and support collaborative scenarios.

Graduate Researcher

UCSD, Tzu-Mao Li’s Lab

Combining neural methods and traditional graphics pipelines to enable flexible and fast-forward physical interaction prediction; studying inverse physical prediction using diffusion-based models.

Undergraduate Researcher

UCSD, HDSI

Developed GraphHSCN, a novel graph neural network architecture for long-range interaction modeling.

Undergraduate Researcher

UCSD, CogTools Lab

Contributed to Physion and Physion++, focusing on data analysis and designing 3D stimuli for non-rigid physical interactions.

Teaching Assistant - DSGN 1

UCSD

Teaching Assistant - CSE 175

UCSD

Teaching Assistant - DSGN 1

UCSD

Teaching Assistant - COGS 9

Garage Startup Intern

MAVERiC Studio

Explored virtual world creation, metaverse audience engagement, and AI tools. Built 'Not A Good Driver'. Try it here.

Data Engineer

SchedGo

Built data infrastructure and conducted analytics; developed marketing data analytics to identify key user groups; designed a survey model for front-end user feedback.

Deep Learning Engineer Intern

San Diego Supercomputer Center

Implemented scalable multi-GPU hyperparameter tuning using Ray Tune on HPC infrastructure. Investigated data-centric MLOps solutions to improve time and resource efficiency in experimentation.

Data Scientist Intern

Tesla

Developed lossless image compression solutions and advanced statistical process control tools.

Data Scientist Intern

Bühler Group

Initiated MLOps image-labeling features for defect detection and prototyped cross-functional innovation tools.

Analyst Intern

J.D. Power

Optimized workflow for quality analytics by automating data processing and report pipelines.

Data Analyst Intern

Bosch

Developed Tableau dashboards for manufacturing analytics; reduced bottleneck diagnosing time by 80%.

IGE Shah Fellowship

UCSD, Institute for the Global Entrepreneur

One of two Shah Fellows of the year, awarded for outstanding research contributions and entrepreneurial potential. The Shah Family Entrepreneur Fellowship is a program launched by the Institute for the Global Entrepreneur (IGE), a collaboration between the Jacobs School of Engineering and the Rady School of Management. The program's goal is to teach engineers to be entrepreneurs and leaders.

Participant of The Cornell, Maryland, Max Planck Pre-doctoral Research School

Cornell, Maryland, Max Planck Institute

Selected to participate in the prestigious pre-doctoral research school focused on cutting-edge interdisciplinary research, held in August 2023.

HDSI Research Scholarship

UCSD, Halıcıoğlu Data Science Institute

One of 20 students to be awarded the competitive $2,500 Undergraduate Research Scholarship from HDSI for outstanding research contributions in data science.

TRELS Research Scholarship

AEP, UCSD

Recognized for academic excellence and research innovation, receiving a $1,000 quarterly research grant.

HDSI Research Scholarship

UCSD, Halıcıoğlu Data Science Institute

One of 20 students to be awarded the competitive $2,500 Undergraduate Research Scholarship from HDSI for outstanding research contributions in data science.

Data Science Student Representative

HDSI, UCSD

Elected as the student representative for the Data Science program at HDSI, representing student interests and helping provide peer advising.

TRELS Research Scholarship

AEP, UCSD

Recognized for academic excellence and research innovation, receiving a $1,000 quarterly research grant.

Provost Honor

Warren College, UCSD

Consistently recognized for academic excellence throughout undergraduate studies.

HotSpot: Screened Poisson Equation for Signed Distance Function Optimization

In submission to Conference on Computer Vision and Pattern Recognition 2025

A study on optimizing signed distance functions with screened Poisson equations.

DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design

In submission to Conference on Human Factors in Computing Systems 2025

Explores dimensional scaffolding to enhance designer workflows in generative AI.

Physion++: Evaluating Physical Scene Understanding with Objects Consisting of Different Physical Attributes in Humans and Machines

Proceedings of the Annual Meeting of the Cognitive Science Society

Evaluates physical scene understanding in humans and machines with varying physical attributes.

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Advances in Neural Information Processing Systems

A study on evaluating physical prediction from vision in humans and machines.

Tree-of-thoughts Context-aware Encoding for LLMs

Developed a context-aware encoding algorithm for LLMs to improve retrieval and contextual understanding.

GraphHSCN

Developed a novel graph neural network architecture for long-range interaction modeling.