• Designed diffusion model components for context-aware and long-term pedestrian motion generation• Created motion visualizations for human motion dataset constructed from outdoor web videos• Implemented custom data augmentation for model generalization and generative diversity

• Developed steering algorithm based on DeepLabv3 segmentations and programmed pipeline into ROS modules• Created script to compute estimation of ego vehicle’s traversable region using Inverse Perspective Mapping• Researching You Only Look Once (YOLOv8) architecture for time and space efficient detection on edge devices

Creating a web application for university students to efficiently find housing in their area. Using Next.js, Google Maps API, and Tailwind.

Created and conducted tech workshops with the goal of assisting students’ education in underserved LA high schools. (Introduction to Autonomous Vehicles, Making Your Own Shazam)

• Produced analysis report on fresh OA data using Differential Expression Analysis, Gene Ontology Analysis, and PCA• Mentored by Dr. Qian Wang and Shady Younis at Stanford’s Department of Immunology and Rheumatology

Researched autonomous vehicle object detection using automotive radar data. Analyzed unsupervised (e.g. DBSCAN, OPTICS) and supervised learning (e.g. VoxelNet, PointNet) detection methods. Created Voxel-Net based deep learning model.

Generating knowledge graphs for product analysis and interpretation. Using k-means clustering and word2vec to process data.