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E-mail:yuanlai@tsinghua.edu.cn

助理教授/特别研究员

 

E-mail:yuanlai@tsinghua.edu.cn

 

【研究和教学方向】

城市科学、城市信息学、城市设计、智慧城市、城市健康

 

【教育经历】

2016-2019,美国纽约大学土木与城市工程系,工学博士(城市系统与信息学方向)

2015-2016,美国纽约大学城市科学与发展中心,理学硕士(应用城市科学与信息学专业)

2009-2011,美国纽约州立大学布法罗分校,城市规划学硕士 (城市设计与地理信息系统方向)

2005-2009,北京林业大学,风景园林学士

 

【工作经历】

2021.6-, 清华大学建筑学院城市规划系,助理教授

2019.8-2021.5,美国麻省理工学院城市研究与规划系(MIT DUSP),讲师 (城市科学方向)

2018.9-2019.5,美国纽约大学城市管理研究所 (NYU Marron Institute),研究助理

2016.7-2018.7,美国纽约大学城市科学与发展中心 (NYU CUSP),研究助理

2011.7-2015.8,美国萨夫迪建筑设计事务所(波士顿),城市设计师

 

【学术兼职】

- 美国城市设计论坛 (Urban Design Forum) 委员会成员

- 电气电机工程师协会 (IEEE) 会员

- Plos Digital Health期刊编委

- Landscape and Urban Planning, Urban Studies, Health & Place, ACM Transactions on Spatial Algorithms and Systems, Sustainable Cities and Society, Data & Policy, Informatics等期刊审稿人

- 纽约大学城市管理研究所研究学者

- 中国知网外文学术质检专家

 

【荣誉及获奖】
2019,谷歌人工智能社会影响挑战优胜团队
2018,联合国大数据应对气候变化行动挑战最佳数据可视化奖  

2017,彭博资讯Bloomberg Data for Good Exchange数据科学家奖  
2017,美国城市设计论坛前沿学者
2017,彭博资讯与纽约多媒体实验室(NYC Media Lab)增强现实技术研发学者
2016,纽约大学校园数据信息开发竞赛优胜团队  
2015,纽约大学学术奖学金  
2014,麻省理工学院医疗信息与数据分析竞赛第二名  
2011,纽约州立大学布法罗分校建筑与城市规划学院,最佳毕业论文
2011,美国规划师协会(APA)纽约州分会优秀学生项目奖

 

【部分学术出版】

期刊论文

1. Kontokosta, C.E., Freeman, L. and Lai, Y., 2021. Up-and-coming or down-and-out? Social media popularity as an indicator of neighborhood change. Journal of Planning Education and Research, p.0739456X21998445.

 

2. 来源*; 王钰(译); 林添怿(校); 关于绿色基础设施的城市信息学: 整合街道树木数据收集分析和公众科学参与的综合方法, 风景园林, 2021, 28(1): 17-30.

 

3. Lai, Y.*, Charpignon, M.L., Ebner, D.K. and Celi, L.A., 2020. Unsupervised learning for county-level typological classification for COVID-19 research. Intelligence-based medicine, 1, p.100002.

 

4. Luo, E.M., Newman, S., Amat, M., Charpignon, M.L., Duralde, E.R., Jain, S., Kaufman, A.R., Korolev, I., Lai, Y., Lam, B.D. and Lipcsey, M., 2021. MIT COVID-19 Datathon: Data without boundaries. BMJ innovations, 7(1).

 

5. Lai, Y., Yeung, W. and Celi, L.A., 2020. Urban intelligence for pandemic response. JMIR public health and surveillance6(2), p.e18873.

 

6. Lai, Y. and Kontokosta, C.E., 2019. Topic modeling to discover the thematic structure and spatial-temporal patterns of building renovation and adaptive reuse in cities. Computers, Environment and Urban Systems78, p.101383.

 

7. Lai, Y. and Kontokosta, C.E., 2019. The impact of urban street tree species on air quality and respiratory illness: A spatial analysis of large-scale, high-resolution urban data. Health & place56, pp.80-87.

 

8. Lai, Y. and Kontokosta, C.E., 2018. Quantifying place: Analyzing the drivers of pedestrian activity in dense urban environments. Landscape and Urban Planning180, pp.166-178.

 

9. Celi, L.A., Marshall, J.D., Lai, Y. and Stone, D.J., 2015. Disrupting electronic health records systems: the next generation. JMIR medical informatics, 3(4), p.e34.

 

10. Yin, L., Raja, S., Li, X., Lai, Y., Epstein, L. and Roemmich, J., 2013. Neighbourhood for playing: using GPS, GIS and accelerometry to delineate areas within which youth are physically active. Urban studies50(14), pp.2922-2939.

 

 

会议论文

1. Khmaissia, F., Sagheb Haghighi, P., Jayaprakash, A., Wu, Z., Papadopoulos, S., Lai, Y. and Nguyen, F.T., 2020. An unsupervised machine learning approach to assess the ZIP code level impact of COVID-19 in NYC. In 2020 International Conference on Machine Learning, Healthcare Systems, Population Health, and the Role of Health-Tech.

2. Lai, Y., 2020, March. Hyper-local Urban Contextual Awareness through Open Data Integration. In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 1-6). IEEE.

 

3. Kontokosta, C.E., Lance, F. and Lai, Y., 2019. Using big data and social media to understand neighborhood Conditions. In Association for Public Policy Analysis and Management Annual Research Conference.

4. Kontokosta, C. E., Lai, Y., Bonczak, B., Papadopoulos, S., Hong, B., Malik, A. and Johnson, N., 2018. A dynamic spatial-temporal model of urban carbon emissions for data-driven climate action by cities. Proceedings of the 2018 Bloomberg Data for Good Exchange, New York, NY.

5. Lai, Y. and Kontokosta, C. E., 2017. Analyzing the drivers of pedestrian activity at high spatial resolution. American Society of Civil Engineers (ASCE) International Conference on Sustainable Infrastructure, New York, NY.

6. Lai, Y. and Kontokosta, C. E., 2017. Measuring the impact of urban street trees on air quality and respiratory illness: A data-driven approach to environmental justice. Proceedings of the 2107 Bloomberg Data for Good Exchange, New York, NY.

 

著作章节

1. Lai, Y. and Stone, D.J., 2020. Data Integration for Urban Health. In Leveraging Data Science for Global Health (pp. 351-363). Springer, Cham.

 

2. Lai, Y., Moseley, E., Salgueiro, F. and Stone, D. J., 2016. Integrating non-clinical data with EHRs, in: Secondary Analysis of Electronic Health Records. MIT Critical Data Group, ed. Springer International Publishing AG.

 

3. Stone, D. J., Rousseau, J. and Lai, Y., 2016. Pulling it all together: Envisioning a data-driven, ideal care system, in: Secondary Analysis of Electronic Health Records, MIT Critical Data Group, ed. Springer International Publishing AG.

 

项目报告

1. Avasarala, S., Chen, S., Counts, S., Fink, J., Fulton, B., Gordon, E., Harlow, J., Hodgson, P., Lai, Y., Merida, W., O’Brien, D. and Shelton, K., 2020. How cities can become more flexible in the wake of COVID-19: Housing case study. Microsoft Research.

 

2. Kontokosta, C., Lai, Y., Papadopoulos, S., Sagi, J.,  Fuerst, F. and Pivo, G., 2019. Estimating office and multifamily building energy retrofit hurdle rates and risk arbitrage in energy efficiency investments. Working paper for Real Estate Research Institute & Lawrence Berkeley National Laboratory Research Grant.

 

3. Lai, Y., Glinow, A.V. and Banerjea, S., 2018. Arrival House: How can we redesign and rethink housing to better integrate the arrival of immigrants to their new city? Design research report for Urban Design Forum Design for Arrival Program.

 

4. Kontokosta, C., Lai, Y., Bonczak, B., Papadopoulos, S., Hong, B., Malik, A. and Johnson, N., 2017. Urban physiology: A dynamic spatial-temporal model of urban carbon emissions to drive climate action by cities. Technical report for the United Nations Data for Climate Action Challenge.

 

5. NYC Department of City Planning and NYU CUSP. 2016. Neighborhood profiles: Planning and visualizing for strategic growth. Technical report for urban science and informatics capstone project.

 

特邀报告与媒体报道

1. Lai, Y. and Levi, R. Perspectives from New Engineering Education Transformation on Curriculum Transformation. MIT J-WEL Higher Education Workshop, Cambridge, 2020.

 

2. Media coverage, What is the Covid-19 data tsunami telling policymakers? A global team of researchers searches for insights during a weeklong virtual “datathon.”  MIT News, 2020.

 

3. Lai, Y. Integrating urban open data for public good. Open Data Science Conference, Boston, 2020.

 

4. Lai, Y.  Using big data and social media to understand neighborhood conditions. Association for Public Policy Analysis and Management (APPAM) Annual Research Conference, Denver, 2019.

 

5. Media coverage: Exploring urban science. MIT News, 2019.

 

6. Lai, Y., Glinow, A.V. and Banerjea, S. Arrival house: An integrated co-living model for new arrivals to NYC”, National Organization of Minority Architects (NOMA) Annual Conference, New York, 2019.

 

7. Lai, Y., Glinow, A.V. and Banerjea, S. Community-based co-living in NYC. New York Build Expo, New York, 2019.

 

8. Lai, Y. Invited roundtable discussion with American Express, 13th Annual Machine Learning Symposium, The New York Academy of Sciences, New York, 2019.

 

9. Media coverage: New York City’s pollen scape, and what it says about air quality & environmental justice. Marron Institute of Urban Management, 2019.

 

10. Lai, Y., Glinow, A.V. and Banerjea, S. Arrival house: An integrated co-living model for new arrivals to NYC. American Planning Association New York Metro Annual Conference, New York, 2018.

 

11. Lai, Y. Big data for local climate change. MetroLab Network Summit, Newark, 2018.

 

12. Lai, Y., Glinow, A.V. and Banerjea, S. Design for arrival: A co-live scenario for newly arrived immigrants to New York City. Urban Design Forum, New York, 2018.

 

13. Media coverage: “Data for good: Bloomberg supports data scientists work with nonprofits and municipalities to solve real-world problems”. NYC Media Lab, 2017.

 

14. Lai, Y. Analyzing the drivers of pedestrian activity at high spatial resolution. American Society of Civil Engineers (ASCE) International Conference on Sustainable Infrastructure, New York, 2017.

 


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