Lilia Chang is a Master's candidate at the Institute of Computational and Mathematical Engineering at Stanford University, where they also earned a B.S. in Applied Math. Previously, Lilia served as a Graduate Research Assistant at the Stanford Graduate School of Business, focusing on causal inference models, and held internships at companies like Upstart, Microsoft, ProPublica, and Facebook, where they contributed to data analysis and machine learning projects. Lilia is currently a Machine Learning Engineer at Marker Learning, engaged in integrating machine learning projects into the company's products.
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