I am a PhD candidate in Industrial and Systems Engineering at the University of Washington, specializing in the development of innovative solutions through statistical and mathematical modeling. My focus areas include machine learning, deep learning, time series analysis, and simulation, which I apply across a range of impactful projects.During my time as a researcher in the SMARTS lab, Disaster Data Science Labs, and Data Science Fellow for the eScience Institute, I tackled diverse challenges—from analyzing the socioeconomic impacts of Seattle's $15 minimum wage ordinance to developing algorithms for social distancing measurement during the Covid-19 pandemic. This interdisciplinary work involved setting up secure databases, cleaning complex datasets, utilizing APIs for comprehensive transit analysis, and processing terabytes of image data with supercomputing resources.My professional journey also includes significant roles in the engineering sector, where I served as a senior engineer responsible for project management during critical infrastructure projects and emergency response initiatives. These experiences honed my skills in leading high-stakes projects and fostering team resilience in dynamic environments.Through my academic pursuits and professional engagements, I have cultivated a robust skillset that bridges theoretical research with practical application, driven by a commitment to societal betterment. I am passionate about continuing to leverage these experiences to enrich my doctoral research and contribute meaningfully to the advancement of data science.