Yizhe Chen is a first-year graduate student majoring in business analytics at the Robert H. Smith of Business. He completed his undergraduate study at the University of Iowa with BS degrees in actuarial science and statistics. With his experience of learning several analyzing tools including Python, R, and SAS, he is looking forward to contributing to healthcare analytics as a CHIDS member.
Di Hu is a first-year graduate student in information systems at the Robert H. Smith School of Business. She has a BS in information management and information systems with a focus on medical software engineering. Before joining the Smith school, she had one year of research experience in the robotic lab for rehabilitation and healthcare at the Chinese University of Hong Kong, Shenzhen. Her research interests are healthcare information systems, mobile health, and healthcare data analysis. As a research assistant in CHIDS, she hopes to make contributions to improving efficiency for the healthcare industry.
Maya Mudambi is a third-year PhD student in Information Systems from Philadelphia, PA. She holds bachelor's and master's degrees from the University of Pennsylvania. Her current research interests include digital health and strategies aimed at online misinformation and antisocial behaviors. In her free time, she enjoys reading novels, seeing live music, and running.
Kevin Ryan is a first-year graduate student pursuing a Master of Science in Business Analytics at the Robert H. Smith School of Business. He also attended the University of Maryland for his undergraduate studies, earning a degree in materials science and engineering. During that time, he became interested in data science while interning in a lab that specialized in the research and development of sustainable batteries. He is mainly interested in predictive analytics as well as machine learning and hopes to pursue a career where he can use those tools to make an impact regardless of the field. As a research assistant at CHIDS, he is looking forward to contributing to projects that make a difference in the healthcare industry.
Mingwei Sun is a third-year PhD student in information systems at Robert H. Smith School of Business. He holds a master’s degree in quantitative finance from Rutgers University. His research interests center around machine learning and data science. Specifically, he is interested in how to apply machine learning techniques to solve healthcare and business problems.
Lijun Yang graduated with a Master of Science in Information Systems from the Robert H. Smith School of Business. His research interests are the application of natural language processing and machine learning models in the healthcare industry.
Xiang Yang is a first-year graduate student in business analytics at the Robert H. Smith School of Business. With her experience as a GIS data engineer before, she wishes to contribute to the healthcare field by working with CHIDS.
Chuchu Zhang is a first-year Master of Science in Business Analytics student at the Robert H. Smith School of Business and holds a bachelor's degree in accounting and finance. She is a graduate assistant in CHIDS and wishes to improve and expand her knowledge of using different analytical tools and contribute to the healthcare industry.
Ellen Zhang is a first-year graduate student studying information systems at Robert H. Smith School of Business. She graduated from UMD with an undergraduate degree in accounting and information systems. Throughout her education at Maryland, she realized the importance of connecting technology to strategy to help organizations achieve competitive advantage and synergy by constant innovation. With different healthcare analytics projects at CHIDS, she is excited to explore ways to create actual impact and continue to discover opportunities for improvement in the healthcare industry.
Li Zhonghao is a business analytics graduate student at the Robert H. Smith School of Business. Before his studies at the University of Maryland, he worked for one and half years in the information technology industry, where he saw the potential of data to improve a company’s efficiency and gain potential profit, the sense of achievement and contribution, along with a passion for computer science, is what drives him to dive into various cutting-edged techniques and models in data science. He is proficient in Python, C, SQL, and Bash. He is adept at mainstream deep learning frameworks like Tensorflow and Pytorch and statistics related methods. Currently, he is working for CHIDS, looking to make an impact in the medical field.