Students

The hallmark of a William & Mary education is the high level of student research engagement in independent studies, REU programs, and research projects mentored by faculty members. Since joining the university, I have guided many motivated undergraduates, from freshman to senior students, and M.S. students at William & Mary.

Current

• Sasan Faraj (COR student).

• Trang Ha (COR student).

• Junyan Liu (Honor Thesis).

Alumni

M.S., Computational Operations Research

• Diep Nguyen , "Topics in clinical trials," Fall 2022-2023.

• Michael Lefew, "Modeling and optimization in clinical supply chain," Fall 2017.

• Honggang Hu, "Discrete robust newsvendor problem," Fall 2016.

• Anthony Finch, " Applications of reinforcement learning in supply chain management," Fall 2016.

• Nadia Aly, "Saving babies from sepsis with heartbeat data," Fall 2016. (co-advisor: Daniel Mcgibney).

Undergraduates

• Yunhong Bao, "Site selection in clinical trials," independent research, 2021.

• Andrew Caietti, Honor Thesis, supported by Blockchain Lab grant, 2021.

• Grace Mika, supported by Monroe Grant - Charles Center, 2020.

• Jack Morris, "Learning and planning for self-driving ride-hailing fleets," Honor Thesis, Fall 2020.

• Chengwu Shen, "Finding modes of discrete multivariate distributions," Summer 2019.

• Jimmy McLaughlin, "Simulation of an inventory system using SimPy," Summer 2018.

• David Allen, "Discrete robust newsvendor problem," EXTREEMS-QED Summer 2017.

• Haoge Chang, "Medical application of convolutional neural networks," EXTREEMS-QED Summer 2016. (co-advisor: Daniel Mcgibney)

• Samantha Gorny, "Medical application of convolutional neural networks," EXTREEMS-QED Summer 2016. (co-advisor: Daniel Mcgibney)

• Jacob Alter, "Segmentation of ultrasound images using convolutional neural networks," EXTREEMS-QED Summer 2016. (co-advisor: Daniel Mcgibney)

• Jay Sandrige, "Segmentation of ultrasound images using convolutional neural networks," EXTREEMS-QED Summer 2016. (co-advisor: Daniel Mcgibney)

• Linyong Nan, "Using machine learning to tackle the Winston stock market challenge," EXTREEMS-QED Summer 2016.