Sungyong Seo

Sungyong Seo is a skilled software engineer and researcher with a strong academic background in electrical engineering and computer science. With a Ph.D. from the University of Southern California, experience includes developing a software platform for algorithmic trading at December and Company, and creating time-series forecasting models during a summer research internship at Oath. Notable publications include a paper on multivariate time series analysis and another on interpretable CNNs for review prediction. Sungyong has held significant roles at Google, including research intern and software engineer, and has interned at Visa, where recommendation systems were developed. Key research interests include physics-informed machine learning, spatiotemporal learning, and graph-based neural networks.