Iris Zhou Email & Phone Number

Seattle, Washington, United States

· Optimizing recovery practices for interdependent utility and infrastructure networks in high-magnitude earthquakes scenarios· Developing and publishing Reinforcement Learning (RL) approach using Deep Q-Learning to share best recovery practices· Led design and implementation of RL environment to simulate workcrew allocation and network recovery using real-world data· Visualized and mapped recovery data and networks using matplotlib, igraph, and geopandas in Python for presentation materials· Performed statistical hypothesis testing using 2-way ANOVA to analyze interaction between variables in simulation model

Seattle, Washington, United States

· Instructed course of 225 students in learning about algorithmic efficiency, sorting and graph algorithms, and data structures· Managed team of 16 teaching assistants and coordinated subteams for grading, improving assignments, and building community· Delivered lectures, enhanced course materials, and designed new final assignment focused on graph algorithm design for transit

Seattle, Washington, United States

CSE 373 (Data Structures and Algorithms), CSE 163 (Intermediate Data Programming)· Taught concepts including runtime analysis, unit testing, object-oriented programming, data wrangling, and Machine Learning· Led a team of 4-6 TAs each quarter to design project specifications, fix bugs, and develop rubrics for Java-based assignments· Facilitated weekly office hours and review sections of 28 students, aiding concept understanding and debugging Java and Python· Mentored 13 student groups in Data Science projects, helping to develop research questions and improve model performance

Seattle, Washington, United States

Paper title: "It Can Relate to Real Lives": Attitudes and Expectations in Justice-Centered Data Structures & Algorithms for Non-Majors· Studied how students taking a justice-centered Data Structures and Algorithms course feel about their goals and experiences· Performed statistical hypothesis testing and data processing in R to assess changes in confidence and sense of belonging· Qualitatively coded student responses on mental health and motivation to improve course policies· Published and presented findings in paper with research team at SIGCSE 2024, an academic conference for Computer Science education

Master Of Science - Ms, Computer Science

Bachelor Of Science - Bs, Mathematics, 3.72

Activities and Societies: Data Analyst for Polling and Open Data Initiative at the University of WashingtonMinor: Data Science

High School Diploma