EDUCATION

University of Michigan School of Public Health

Master of Science in Biostatistics (Health Data Science) Ann Arbor, MI

Sep 2023 - May 2025

University of Wisconsin-Madison

Bachelor of Arts in Data Science [3.79/4.0]

Certificate: Computer Science, Cinema Production, Digital Studies Madison, WI

Sep.2019 - May 2023

SKILLS

Programming Languages: Java, Python, Matlab, SAS ; Database: R, Python, Julia, Tableau, SQL ; Computational Knowledge: Probability Theory, Linear Regression, HMM, PCA, K-Nearest Neighbors, Bayesian network, Neural Network, reinforcement learning, Game Theory.

EXPERIENCES

KeyMed Biosciences Co.Ltd

Intern (Statistic and Data Analysis Team)

Beijing, China

Jun 2023–Aug 2023

● Utilized relevant statistical models and the SAS procedures to implement analysis on practical cases, providing quantifying materials for exploratory research in certain directions.

● Collaboratively drafted multiple Statistical Analysis Plan (SAP) from clinical studies and Standard Operation Procedure (SOP); Delved into biostatistician guidelines and enhanced my own knowledge on methods, procedures and computations, and prepared related documents for internal training purposes.

● Developed small tools for statistical model algorithms: R program and Excel calculator for two-sample Fisher's Exact Test sample size calculation.

Mettler Toledo Instruments (Shanghai)

Intern (Process Analytics Business Unit)

Shanghai, China

May 2021–Aug 2021

● Developed Python programs to accommodate the on-screen text display feature to 10 different languages; Applied basic dataframe analytics and computer vision algorithms to optimize the proofreading process.

● Designed introductory Python tutorials for beginners in my team and held a workshop with 20+ attendants to promote the use of python for data preprocessing.

● Filmed and edited videos for company-wide events and published on internal channels, received positive feedback from multiple departments and units.

Mettler-Toledo (Changzhou) Precision Instrument

Intern (Standard Industry Business Unit)

Changzhou, China

Jul 2019–Aug 2019

● Participated in training sessions for value engineering and DFMA (Design For Manufacturing and Assembly); Directed an 4-minute promotion video of value engineering and DFMA

COURSE PROJECTS

CIS Research Program Sep 2022–Nov 2022

Data Science Methods and Applications in Public Health and Biomedicine

● Conducted population study on the research question of ‘Maternal Mortality Rate’ and its risk factors.

● Applied multiple statistical models including linear regression and geographically weighted regression, and discussed the interpretation and meaningful conclusion of the result; Reported the result with a paper including 6 chapters and 7 statistical graphs supporting the explanatory procedure, result, and discussion.

University of Wisconsin-Madison Computer Science Department Nov 2022–Dec 2021 Course Project - Introduction in Machine learning

● Applied principles of neural networks to an extensive dataset of handwritten numbers. Gained valuable hands-on experience working with large datasets, reinforcing and enriching my theoretical knowledge.

University of Wisconsin-Madison Computer Science Department Nov 2022–Dec 202 Course Project - Medical Image Processing

● Executed course study using Support Vector Machines (SVM) to analyze a dataset of X-ray images. Assessed different kernels including Gaussian, Polynomial, and Linear to optimize the SVM algorithm's performance. Written in Matlab.

● Applied and evaluated a K-Nearest Neighbors (k-NN) classification model using the MNIST Dataset, composed of 70,000 handwritten digits. Configured and trained the K-NN model, optimizing it for precise classification of diverse handwritten digits, and Performed rigorous model fitting. Written in Matlab.

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