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 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 the optimization of large-scale 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. Working paper.
- Bertsimas, D., Ng, Y.S., & Yan, J. (2018). Frequency-setting and pricing optimization on multi-modal transit networks at scale. Submitted to Transportation Science.
- Berk, L., Bertsimas, D., Weinstein, A., & Yan, J. (2018). Prescriptive analytics for human resource planning in the professional services industry. To appear in European Journal of Operations Research. doi: 10.1016/j.ejor.2018.06.35.
- 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.
- 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.