Sep 2018 - Sep 2022  Massachusetts Institute of Technology  Ph.D. in Transportation

Sep 2018 - May 2020  Massachusetts Institute of Technology  M.S. in Transportation

Sep 2018 - May 2020  Massachusetts Institute of Technology  M.S. in Electrical Engineering and Computer Science  M.S.

Aug 2014 - Jul 2018  Tsinghua University  Civil Engineering  B.E.

Aug 2015 - Jul 2018  Tsinghua University  Management (Dual Degree)  B.M.

Jul 2026 - Present  Tsinghua University, Department of Transportation Engineering  Assistant Professor (Tenure Track),

Aug 2025 - Jun 2026  TikTok E-Commerce Algorithm Team  Staff Machine Learning Scientist & Tech Lead of the US Supply Chain Algorithm team

Dec 2023 - Aug 2025  TikTok E-Commerce Algorithm Team  Senior Machine Learning Scientist

Oct 2022 - Oct 2023  Lyft  Senior Research Scientist

Sep 2022 - Oct 2023  Lyft  Research Scientist

Traffic Engineering (English Version)

2025  Spot Bonus Award for Exceeding Expectation, TikTok Shop

2024  National Science Foundation for Talented Young Researchers, China

2024  Global Urban Rail Transit Best Dissertation Award & Zhongheng Shi Honorary Prize

2023  Dan & Eva Roos Thesis Prize, MIT

2022  Best PhD Dissertation Award, Chinese Overseas Transportation Association (COTA)

2021  Runner Up Award, Amazon Last-Mile Routing Research Challenge

2021  UPS PhD Fellowship, MIT

2018  Best Bachelor Thesis Award, Tsinghua University

2018  Outstanding Graduate Award, Tsinghua University

2017  Tsinghua Presidential Scholarship

2017  Cai Xiong Scholarship, Tsinghua University

2016-2022  Tang Lixin Scholarship, Tsinghua University

2015  China National Scholarship

1)Transportation system resilience and public transit disruption management: incident-aware passenger behavior inference, robust path recommendation, network performance modeling, and resilient operations control.

2)AI for Transportation: reinforcement-learning-based real-time decisions, time-series foundation models, transportation management agents, ETA prediction, and last-mile delivery route prediction across public transit, shared mobility, and supply-chain logistics.

3)Travel behavior and demand modeling: policy analysis, surveys, econometric models, smart card data, license plate recognition data, machine learning, and optimization.

4)Sustainable urban systems: commuting carbon emissions, public health risk, housing mobility, and urban cyber-physical-social system resilience.

Journal reviewer:

Transportation Research Part A/B/C/E, Transportation Science, IEEE Transactions on Intelligent Transportation Systems, Transportation, Transport Policy, Journal of Transport Geography, Travel Behaviour and Society, Transportmetrica A, Journal of Public Transportation, PLOS One, Journal of Advanced Transportation, Communications in Transportation Research, Data Science for Transportation, Urban Rail Transit, International Journal of Transportation Science and Technology, and others.

Conference reviewer:

Transportation Research Board Annual Meeting (TRB) and IEEE Conference on Intelligent Transportation Systems (IEEE ITSC).

1)National Science Foundation for Talented Young Researchers, China; Toward a Resilient Transportation System; 2024-2027; Principal Investigator (PI).

2)MIT QUEST for Intelligence; Modeling COVID-19 Infection Risks in Commuting; 2020-2021; Lead Researcher.

Summary: More than 30 peer-reviewed papers in leading journals including Nature Sustainability, Transportation Research Parts A/B/C/E, IEEE Transactions on Intelligent Transportation Systems, European Journal of Operational Research, and Transportation Science. Full publication list: https://www.tsinghuamos.com/en/publications/

Selected publications (* corresponding author, † equal contribution):

1. Large language models for travel behavior prediction

Baichuan Mo, Hanyong Xu*, Ruoyun Ma, Jung-Hoon Cho, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao

Transportation Research Interdisciplinary Perspectives, 2026, 38, 102124

2. A federated meta-learning approach for interpretable, privacy-preserving, and customizable behavior analysis

Linlin You, Kunxu Chen, Baichuan Mo*, Jiemin Xie, Juanjuan Zhao*, Jinhua Zhao

Communications in Transportation Research, 2026, 6, 9640014

3. Housing exchange framework to reduce carbon emissions from commuting

Juanjuan Zhao†, Baichuan Mo†*, Nicholas S. Caros, Jinhua Zhao

Nature Sustainability, 2025, 8, 1259-1269

4. Robust binary and multinomial logit models for classification with data uncertainties

Baichuan Mo, Yunhan Zheng*, Xiaotong Guo, Ruoyun Ma, Jinhua Zhao

European Journal of Operational Research, 2025, 327 (2), 577-591

5. Individual path recommendation under public transit service disruptions considering behavior uncertainty

Baichuan Mo*, Haris N Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao

Transportation Science, 2025, 59 (6), 1235-1258

6. Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19

Baichuan Mo*, Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao

Travel Behaviour and Society, 2024, 34, 100689

7. Robust path recommendations during public transit disruptions under demand uncertainty

Baichuan Mo*, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao

Transportation Research Part B: Methodological, 2023, 169, 82-107

8. Predicting drivers' route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network

Baichuan Mo, Qingyi Wang*, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao

Transportation Research Part E: Logistics and Transportation Review, 2023, 175, 103168

9. Individual mobility prediction in mass transit systems using smart card data: An interpretable activity-based hidden Markov approach

Baichuan Mo, Zhan Zhao*, Haris N Koutsopoulos, Jinhua Zhao

IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (8), 12014-12026

10. Ex post path choice estimation for urban rail systems using smart card data: An aggregated time-space hypernetwork approach

Baichuan Mo, Zhenliang Ma*, Haris N. Koutsopoulos, Jinhua Zhao

Transportation Science, 2022, 57 (2), 313-335

11. Inferring passenger responses to urban rail disruptions using smart card data: A probabilistic framework

Baichuan Mo*, Haris N. Koutsopoulos, Jinhua Zhao

Transportation Research Part E: Logistics and Transportation Review, 2022, 159, 102628

12. Impact of unplanned long-term service disruptions on urban public transit systems

Baichuan Mo*, Max Y Von Franque, Haris N Koutsopoulos, John P Attanucci, Jinhua Zhao

IEEE Open Journal of Intelligent Transportation Systems, 2022, 3, 551-569

13. Modeling epidemic spreading through public transit using time-varying encounter network

Baichuan Mo†, Kairui Feng†, Yu Shen*, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao

Transportation Research Part C: Emerging Technologies, 2021, 122, 102893

14. Competition between shared autonomous vehicles and public transit: A case study in Singapore

Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao*

Transportation Research Part C: Emerging Technologies, 2021, 127, 103058

15. Impacts of subjective evaluations and inertia from existing travel modes on adoption of autonomous mobility-on-demand

Baichuan Mo, Qing Yi Wang, Joanna Moody*, Yu Shen, Jinhua Zhao

Transportation Research Part C: Emerging Technologies, 2021, 130, 103281

16. Impact of pricing policy change on on-street parking demand and user satisfaction: A case study in Nanning, China

Baichuan Mo, Hui Kong, Hao Wang, Xiaokun Cara Wang, Ruimin Li*

Transportation Research Part A: Policy and Practice, 2021, 148, 445-469

17. Calibrating path choices and train capacities for urban rail transit simulation models using smart card and train movement data

Baichuan Mo, Zhenliang Ma*, Haris N Koutsopoulos, Jinhua Zhao

Journal of Advanced Transportation, 2021, 5597130

18. Estimating dynamic origin–destination demand: A hybrid framework using license plate recognition data

Baichuan Mo, Ruimin Li*, Jingchen Dai

Computer‐Aided Civil and Infrastructure Engineering, 2020, 35 (7), 734-752

19. Capacity-constrained network performance model for urban rail systems

Baichuan Mo, Zhenliang Ma*, Haris N Koutsopoulos, Jinhua Zhao

Transportation Research Record, 2020, 2674 (5), 59-69