Statistics Grad Student | TA | Aspiring Data Analyst
Passionate about transforming data into meaningful insights, with a strong interest in human–AI cooperation for medical applications. Currently pursuing graduate studies in Statistics while gaining hands‑on experience on innovative data analysis projects. Besides, I also serve as a Teaching Associate, where I strengthen my communication skills by explaining complex concepts clearly, fostering interactive learning, and guiding students to develop problem-solving strategies.
A passionate data enthusiast with a strong foundation in statistics and a drive to uncover meaningful insights from complex datasets.
SJSU, Dept. of Mathematics & Statistics (2025)
Merit-based departmental award recognizing academic excellence in mathematics/statistics.
Passed January 2025
Professional actuarial certification demonstrating expertise in probability theory.
Chinese American Biopharmaceutical Society (CABS) — Summer 2025
For contributions to clinical-trial analysis AI (DataCraft & EfficacyLens); featured in CABS magazine.
A collection of data analysis and statistical modeling projects showcasing my skills in various domains.
Advanced statistical simulation project implementing Generalized Linear Mixed Models (GLMM) in R. Explored complex hierarchical data structures, random effects modeling, and simulation techniques for statistical inference and model validation.
Developed an AI tool to compare two clinical trials within five minutes. Automated extraction of endpoints, trial design, and efficacy outcomes to support strategic drug evaluation. Enhanced accuracy and speed of comparative analysis in oncology and cardiovascular trials.
Built an AI agent that programmatically generates customizable virtual patient records supporting English/Chinese names and common diseases via a Flask+Gemini API with a lightweight web UI and CSV export. Exposed REST endpoint for integration.
Analyzed four time series datasets to identify suitable models in R. Applied SARIMA and other techniques to two real-world datasets for forecasting and interval estimation with advanced statistical methodology.
Engineered features from the variable "moves" and applied both linear (PCA, Factor Analysis) and nonlinear (t-SNE) dimensionality reduction methods to uncover patterns in chess game data and player behavior.
Led variable selection to identify 8 key predictors from 25 features. Addressed multicollinearity and imbalanced categorical variables in building robust regression models for automobile price prediction.
Visualized line distributions, tested dialogue patterns against plot points, and modeled the relationship between IMDB ratings and viewership using advanced R visualization and inferential analysis techniques.
A web-based survival game where players help Fred gather resources and build a house in a forest environment. Features interactive gameplay with resource management, energy systems, and HTML5 Canvas rendering.
I'm also passionate about communication and teaching. Students describe me as clear, approachable, and supportive.
Breaking down complex problems into understandable steps, explaining mathematical concepts and methods clearly
Encouraging student participation and creating a safe, comfortable learning environment
Solid professional expertise with ability to guide students toward independent thinking
Explains concepts in an easy-to-understand manner and is always available for help.— PreCalculus Workshop Student, Spring 2025
Knows the math and nudges us in the right direction without just giving the answers.— Calculus III Workshop Student, Spring 2025
Gave us space to ask questions, reviewed difficult problems, and offered exam tips. She created a safe space to make mistakes and guided us to identify and correct them.— College Algebra Workshop Student, Summer 2025
My academic journey and professional development in statistics and data science.
Help manage and update CABS websites, ensuring accurate and current information for the community. Contribute to digital presence and accessibility of resources for members.
Developed DataCraftAgent, an AI-powered virtual patient generator for breast cancer clinical trials. Built full-stack web application using Python Flask, Google AI API, and JavaScript to generate realistic patient profiles with 30+ clinical variables. Implemented batch processing and CSV export functionality to accelerate clinical trial planning and reduce patient recruitment bottlenecks.
Led undergraduate workshops for Calculus III, Calculus I, Precalculus, and College Algebra; graded quizzes and supported students in achieving academic success. Facilitated summer Zoom sessions, using breakout rooms to promote collaborative group work and provide individualized academic support.
Graded assignments and quizzes for two Probability Theory courses. Maintained records, gave feedback, and collaborated with instructors to ensure consistent evaluation standards.
Advanced coursework in statistical theory, applied statistics, data mining, and machine learning. Focus on practical applications in data analysis and statistical modeling.
I took Introduction to Computer Science and Introduction to Java at Canada College as the starting point of my Data Science career.
Oversee the Cookie Program for my daughter's troop, coordinate family cookie meetings, manage my troop's cookie inventory, handle troop finances including making deposits, distribute girl recognitions, coordinate booth sales, and communicate with girls and families.
Devoted eight years to raising two kids, developing strong organizational, multitasking, and communication skills. Managed household operations, coordinated educational activities, and fostered a nurturing environment that supported their growth and development.
Assisted foreign teachers with lesson planning and classroom management. Hosted parent meetings, handled make-up lessons, and assessed over 100 students' academic progress. Acted as translator between parents/students and foreign teachers.
I hold a Bachelor's degree in Agricultural Science from Hebei North University.
I'm always interested in discussing new opportunities, collaborations, or just connecting with fellow data enthusiasts.
Whether you're looking for a data analyst, want to discuss statistical methods, or simply want to network, I'd love to hear from you.
I'm particularly interested in opportunities involving:
Feel free to reach out via email or connect with me on LinkedIn. I typically respond within 24 hours.