I am a PhD student in Industrial Engineering at Penn State University. I hold a bachelor's degree in Economics from the Central University of Finance and Economics (CUFE) in China, and a master's degree in Industrial Engineering from Lehigh University in the USA. My research interests lie in developing optimization techniques and analytical tools to address real-world challenges, with a particular focus on using stochastic dynamic modeling and real-world data to improve decision-making in healthcare. Outside my research, I enjoy sports and outdoor activities, such as running and hiking, etc.
Expected to graduate: 2026
I am a PhD student in Industrial Engineering at Penn State, where I earned my Bachelor's degree in Industrial Engineering. My research focuses primarily on analytics and data-driven modeling, with applications in healthcare operations, public health policy, and health informatics. I'm currently working on the opioid epidemic and transient ischemic attack care. One of the aspects of my work that I particularly enjoy is the opportunity to collaborate with domain experts from diverse academic backgrounds, including statistics, machine learning, health economics, geography, and public health, as well as professionals such as physicians and law enforcement officials. This collaborative approach has enriched my research and broadened my perspective. Outside of the classroom, I enjoy cooking and discovering hidden gem restaurants. My hometown is Beijing, China.
Expected to graduate: 2027
I am a PhD student in operation research track who joined Penn State University in 2021. My research employs advanced methodologies, including machine learning, optimization, simulation, and Bayesian optimization, to enhance healthcare systems. I focus on leveraging these quantitative techniques to improve operational efficiency and patient outcomes. With a strong commitment to academia, I aspire to contribute significantly to both research and education. Beyond my primary research focus, I have a profound interest in artificial intelligence, reinforcement learning, astronomy—particularly astrophysics—and history. Outside the lab, I am an avid tennis player and rower, and a tech geek who enjoys staying up to date with the latest PCs and cellphones.
Expected to graduate: 2027
I am a first-year PhD student in Industrial Engineering joining Penn State in 2025 Fall. I hold a M.S. in Big Data from Southern University of Science and Technology (SUSTech) and a B.S. in Mathematics from Sun Yat-sen University in China. In my research, I am interested in synthesizing simulation, stochastic optimization, and deep learning on manifolds to advance AI for Healthcare. I utilize real-world clinical data to architect decision-making frameworks for chronic disease and epidemic management, aiming to optimize outcomes in complex healthcare systems. Beyond my core research, I am captivated by Differential Geometry, Multi-agent LLMs, and High-Performance Computing (HPC). Outside the lab, I am a boxing enthusiast and a powerlifter, currently maintaining a 400 lbs squat.
Expected to graduate: 2030
Shesha Sai Satwika Chivukula (expected to graduate: 2026 Spring)
Yang-hao Chang (expected to graduate: 2026 Spring)
Abdulaziz Abubakr (Schryer's Honors College; expected to graduate: 2026 Fall)
Graduated: 2024 Summer
First placement: Department of Industrial Engineering and Engineering Management (IEMS) at National Tsing Hua University (NTHU)
[Homepage]
I am joining the Department of Industrial Engineering and Engineering Management (IEEM) at National Tsing Hua University (NTHU) as an assistant professor starting from Fall 2024. I received my PhD degree in the Department of Industrial and Manufacturing Engineering, Penn State in 2024 (with my PhD advisor Dr. Qiushi Chen), and my bachelor’s degree in IEEM and Computer Science from NTHU in 2016. My research mainly focuses on data-driven stochastic modeling and simulation to inform healthcare decision-making, particularly in the context of children’s developmental disorder screening policies. My career aspiration is to apply operations research methodologies to address critical challenges in healthcare, with a particular interest in assisting healthcare decision-making processes.
Korrawee Henprasert, Master's student (graduated in 2024 Fall)
Duk Hee Ka, Master's student (graduated in 2024 Spring; currently in PhD program at Penn State IME)
Siyi Huang, PhD (graduated in 2024 Spring; placement: Amazon)
Andrew Chung, BS (graduated in 2023 Spring; placement: Epic Systems)
Schreyer Honors College
Undergraduate thesis: "How the COVID-19 pandemic impacted breast cancer screening in the United States: Results from real-world health records data."
Yang Liu, Master's student (graduated in 2023 Spring)
Hassam Khan, Master's student (graduated in 2023 Spring)
Ananth Prabhu, Master's student (graduated in 2022 Fall)
Simran Lala, Master's student (graduated in 2022 Fall)
Tarun Kumar Sathapathi, Master's student (graduated in 2021 Summer)
Jingyi Xie, Master's student (thesis track; graduated in 2020 Spring; currently a PhD student in Penn State IST)
Lauren Bullis, Master's student (graduated in 2020 Summer)