About
Hello! I'm a fourth-year PhD student at the Operations Research Center at
MIT, advised by Dimitris Bertsimas.
I am broadly interested in large-scale, data-driven optimization, and find the application of mathematics to urban operations and the public good in general especially motivating.
My present research focuses on management of public transportation systems.
Prior to coming to MIT, I spent two years at an operations research and business analytics consulting company called Analytics Operations Engineering (since acquired by McKinsey & Company). I completed my undergraduate degree at Princeton University with a major in chemistry and a minor in computer science. My undergraduate research, advised by Herschel Rabitz, focused on applying optimal control theory to quantum mechanical systems.
You can find my CV here.
Research
- Bertsimas, D., Ng, Y.S., & Yan, J. (2018). Data-driven transit network design at scale. Submitted to Operations Research.
- Bertsimas, D., Ng, Y.S., & Yan, J. (2018). Frequency-setting and pricing optimization on multi-modal transit networks at scale. Submitted to Transportation Science.
- Bertsimas, D. & Yan, J. (2018). From physical properties of transportation flows to demand estimation: An optimization approach. Transportation Science, 52(4), 1002-1011. doi: 10.1287/trsc.2017.0802.
- Berk, L., Bertsimas, D., Weinstein, A., & Yan, J. (2019). Prescriptive analytics for human resource planning in the professional services industry. European Journal of Operations Research, 272(2), 636-641. doi: 10.1016/j.ejor.2018.06.35.
- Hocker, D., Yan, J., & Rabitz, H. (2016). Optimal nonlinear coherent mode transitions in Bose-Einstein condensates utilizing spatiotemporal controls. Physical Review A, 93(5), 053612. doi: 10.1103/PhysRevA.93.053612.
- Yan, J., Hocker, D., Long, R., Ho, T. S., & Rabitz, H. (2014). Exploring the control landscape for nonlinear quantum dynamics. Physical Review A, 89(6), 063408. doi: 10.1103/PhysRevA.89.063408.