- Lead interactive labs and recitations for approximately 80 total students, dedicating 3 hours per week to teaching coding fundamentals, C programming, algorithms, and data structures.- Coordinate office hours to provide personalized student support, focusing on debugging, programming assistance, and theoretical concepts- Collaborate with professors to ensure the quality of homework and exams, fostering an engaging and challenging learning environment

- Enhanced the global ads ranking model, which identifies highly engaged ads, by optimizing training data and features to improve generalization and adaptability in applied machine learning methods- Addressed NULL feature issues impacting neural network training and proposed advanced machine learning techniques, including Mixture of Experts, Multi-Task Learning, and Positive-Unlabeled (PU) Learning- Developed and refined code while conducting offline experiments on Azure ML, achieving strong results that facilitated successful online deployments

- Designed and taught four online courses: AMC 8 Prep 2021 & 2022, AMC 8 Booster Class, and Honors Physics; designed class curriculum, slides, and homework- Led website and flyer design, teacher/volunteer training, and student recruiting- Hosted free week-long in person summer camp for students at Beechwood Middle School in East Palo Alto, Summer 2022- Taught a total of three in-person courses (AMC8, Math Olympiad, Chess) in the Purdue campus at West Lafayette, Indiana, Summer 2022- Taught 100+ students and raised $10,000+ for various educational organizations to help underprivileged students

- Researching Class-Incremental Learning with Neural Image Compression- Conducted experiments on famous Class-Incremental Learning models such as iCaRL and FOSTER- Learned powerful compression methods including JPEG, WebP, and Neural Compression- Created several original graphs with MATLAB for the final paper

- Attended on-campus undergraduate summer research program at Purdue University, West Lafayette- Worked in ECE Department's Video and Image Processing Laboratory (VIPER Lab) under guidance of Professor Maggie Zhu and Dr. Jiangpeng He for five weeks on food image classification for nutritional health- Co-authored one paper titled “Simulating Personal Food Consumption Patterns Using A Modified Markov Chain”; published in the Proceedings of the International Workshop on Multimedia Assisted Dietary Management (MADiMa) 2022, Lisbon, Portugal, https://arxiv.org/pdf/2208.06709.pdf- Co-authored and presented one paper as first author titled “Unsupervised Visual Representation Learning on Food Images”; published in the Proceedings Electronic Imaging Symposium on Imaging and Multimedia Analytics at the Edge Conference, San Francisco, January 2023

- Taught 5 math courses on various topics (AMC 8, Speed Math, MathCounts) for 50+ 6-8th graders- Created entire syllabus, contents, slides for new Speed Math and MathCounts courses- Provided extra tutoring outside of class for individual needs- Created majority of problems and co-hosted SVY's largest Math Competition in 2021

- Researched Underwater Image Enhancement online with Prof. Dandan Ding from Hangzhou Normal University's Information Science and Engineering Department- Implemented Convolutional Neural Networks, tested with hundreds of underwater images, and greatly simplified model with similar or higher performance- Co-authored 1 international journal paper: "An efficient learning-based method for underwater image enhancement", ScienceDirect, Volume 74, September 2022, 102174, ISSN 0141-9382, https://doi.org/10.1016/j.displa.2022.102174.

COSMOS (California State Summer School for Math & Science)- Gained various skills in research methodologies and in-depth understanding of Smart Power- Conducted synthesized research on Smart and Sustainable power under the instruction of Prof. Yu Zhang in ECE Department- Presented final project "Optimizing Wind Turbine Placement Using a Monte Carlo Simulation" to 20+ cohorts