ZHAOZE LIU

Dedicated Teaching Assistant focused on supporting faculty with classroom needs. Successful at maintaining clean and organized supplies, planning activities and leading field trips. Excellent tutor, record keeper and multitasker. Dedicated researcher familiar with Math and Statistic protocols. Well-coordinated in handling study documentation and records. Brings 3 years of academic research experience.

• NRC Shellfish Project, 08/2022, Present, Department of Mathematics and Statistics, University of Victoria, I designed the Ocean Pollution Monitoring System (OPMS), an R Shiny-based web application that visualizes marine pollutants data. OPMS leverages extensive datasets to offer a comprehensive, accessible, and user-friendly platform for monitoring and managing contaminants like fecal coliforms and biotoxins. Using data from the Canadian Shellfish Sanitation Program (CSSP) from nearly 15,000 sites in six Canadian coastal provinces, covering almost 40 years, we combined environmental factors such as precipitation, climate, geography, temperature, and human activities to analyze contamination levels. The system allows users to view pollutant levels and trends in over 10,000 areas along the Canadian coast, helping identify high-contamination regions and correlations with environmental factors. The tool aids environmental managers and policymakers in making informed decisions regarding shellfish harvesting plans and coastal zone management, significantly contributing to marine research and the development of mitigation strategies.
• Sablefish Genomics Project, 08/2021, Present, Department of Mathematics and Statistics, University of Victoria, In collaboration with Golden Eagle Sablefish, I focused on genomic selection for desirable traits in sablefish, specifically targeting fish size through GWAS and machine learning model development. By analyzing genomic data, we investigated the effects of different SNP genotypes on fish weight variation. We developed a 300-SNP PCR panel to genotype 448 individuals, identifying 8 SNPs associated with sex determination and over 100 SNPs related to body weight. Our statistical analysis revealed that adult female sablefish weigh about 1kg (40%) more than males. Additionally, we established a machine learning model to predict body weight based on genotype, which can help aquaculture companies produce heavier sablefish, significantly increasing economic benefits. Currently, we are analyzing nearly 6 million SNPs through Linkage Disequilibrium (LD) and imputation to find more loci related to sablefish body weight, aiming to further enhance breeding programs.
• Markovian Strategies for Differential Games, 05/2019, 07/2020, MATH department at Purdue University Northwest, Developed optimization strategies and algorithms for differential games.
• Interactive Graphic Application for Cyber Security, 05/2018, 07/2019, ECE department at Purdue University Northwest, Designed a Unity3D application to teach cyber security concepts using C and JavaScript.
• Undergraduate Entrepreneurship Project, 08/2016, 05/2017, Science department at North University of China, Developed algorithms for route optimization and analyzed product design plans.

• Machine learning
• Multivariate analysis

• The Recent Research Progress in Advanced Statistical Methods, 2023, Prediction of the Weight of Sablefish using Genomic Analysis
• Statistics Data Science Conference, 2023, GWAS and Machine Learning Prediction for Sablefish Traits

• National University Mathematical Modeling Competition, 03/2017, 06/2018, Won provincial first-class and national second-class awards.
• Liu Ding Cup Math Competition, 05/2016, 06/2016, Ranked in top 4% among 400 students.
• North University of China Physics Competition, 09/2015, 10/2015, Ranked in top 15% among students from different departments.

• Advanced mathematics
• Mathematical analysis
• Financial mathematics
• Topology
• Real variable function
• Functional analysis
• Probability theory
• Mathematical statistics
• Complex variable function
• Integral transform
• Differential equation
• Operations research
• Numerical analysis
• Analytic geometry
• Real analysis
• Abstract algebra

The Visual and Automated Disease Analytics (VADA) graduate training program scholarship (2023-2024)