cv

Doctor of Philosophy

University of California San Diego

Cognitive Science

• Research in Human-computer-interaction & Design, advised by Prof. Steven Dow.

Master of Science

University of California San Diego

Computer Science and Engineering

• Research in Human-computer-interaction & Graphics, advised by Prof. Steven Dow and Prof. Tzu-Mao Li.

Bachelor of Science

University of California San Diego

Data Science & Probability and Statistics

• Research in Intuitive Physics, advised by Prof. Judith Fan.

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 - COGS 186: Genetic Algorithms

UCSD

TA for Prof. Anjum Gupta

Teaching Assistant - COGS 187A: Usability & Information Architecture

UCSD

TA for Prof. Mary ET Boyle

Teaching Assistant - DSGN 1: Design of Everyday Things

UCSD

TA for Prof. Michael Meyer

Teaching Assistant - DSGN 1: Design of Everyday Things

UCSD

TA for Prof. Michael Meyer

Teaching Assistant - CSE 175: Entrepreneurship for Engineers

UCSD

TA for Prof. Rakesh Kumar

Teaching Assistant - DSGN 1: Design of Everyday Things

UCSD

TA for Prof. Scott Klemmer

Teaching Assistant - COGS 9: Introduction to Data Science

UCSD

TA for Prof. Meenakshi Khosla

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%.

Mentor at UCSD

Mentor Collective

Mentored first-year and transfer students at UCSD to help them adapt to university life.

• Provided guidance and support for new UCSD students.
• Facilitated connections to campus resources and communities.

Data Science Student Representative

Halıcıoğlu Data Science Institute, UC San Diego

Represented HDSI students to improve the data science program and curriculum.

• Peer-advised HDSI undergraduate students.
• Evaluated and improved the data science curriculum.
• Promoted the program to external audiences.

SHORE Fellowship

UCSD, Cognitive Science Department

Awarded the prestigious SHORE (Supporting Holistic Opportunities for Research Excellence) Fellowship, one of only 3 recipients in the Cognitive Science Department annually. This highly competitive fellowship provides approximately $70,000 in value to support doctoral research in cognitive science.

OpenAI Researcher Access Program

OpenAI

Selected for the OpenAI Researcher Access Program (~$1,000 in credits) to support research with advanced AI models.

IGE Shah Fellowship

UCSD, Institute for the Global Entrepreneur

Awarded the Shah Family Entrepreneur Fellowship ($5,000) as one of two Shah Fellows university-wide for outstanding research contributions and entrepreneurial potential. The fellowship, launched by the Institute for the Global Entrepreneur (IGE)—a collaboration between the Jacobs School of Engineering and the Rady School of Management—aims to teach engineers to become entrepreneurs and leaders.

The Cornell, Maryland, Max Planck Pre-doctoral Research School Fellowship

Cornell, Maryland, Max Planck Institute

Selected as one of approximately 60 global recipients to participate in the prestigious pre-doctoral research school ($3,000 fellowship) focused on cutting-edge interdisciplinary research, held in August 2023.

HDSI Research Scholarship

UCSD, Halıcıoğlu Data Science Institute

Awarded the competitive $2,500 * 2 Undergraduate Research Scholarship, one of approximately 30 recipients @ HDSI Department annually, for outstanding research contributions in data science.

TRELS Research Scholarship

AEP, UCSD

$1,000 * 2 quarterly research scholarship; ~75 recipients @ UCSD each quarter.

Provost Honor

Warren College, UCSD

Consistently recognized for academic excellence throughout undergraduate studies, awarded to approximately 20% of students at Warren College annually.

HotSpot: Screened Poisson Equation for Signed Distance Function Optimization

Conference on Computer Vision and Pattern Recognition 2025 (Highlight)

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

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

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 (Accepted as poster with abstract publication)

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.