Team

Gianluca Maffi, 4th year engineering undergad, University of Cambridge

Area: Climate change, ML/AI, NLP

Tong Chen, MPhil candidate, University of Cambridge

Area: urban planning, data science, ML, GIScience, urban climate

Abdullah Hasan Safir (Gates Scholar), PhD candidate (AI Ethics), University of Cambridge

Area: AI Ethics, Society, Epistemic knowledge, Design thinking

Co-advisor Prof. Alan Blackwell, Computer Laboratory

Funder: Gates Cambridge Trust

Aanchala Bhongade, B.Tech. Production Engineering, VJTI Mumbai

Area: ML/AI, Time-series Analysis, Astroinformatics, Music Generation and Composition

Jinquan Ye, M.S. Environmental Science, Duke University

Area: Environmental Economics, Computational Social Science, NLP, LLMs

Simon Han, PhD candidate (Urban data science), University of Cambridge

Area: Urban planning, ML, AI, econometrics, climate change, policy analysis

Co-advisor Prof. Ying Jin, Cities and Transport Group

Funder: Cambridge Trust and CSC Scholarship

Taran Chandel, Economics and Data Science major, University of Edinburgh

Area: Computational Economics, Policy Evaluation and Applied Econometrics

Waqar Ashraf, Research Assistant in Responsible AI (Cambridge) - PhD candidate (UCL Chemical Engineering)

Area: AI, energy transition, process optimization, net zero

Advisor Prof. Vivek Dua, Dept. of Chemical Engineering, UCL

Webpage: Click here

Ziqian Xia, M.S. Public Policy (Tongji University)

Area: Sustainable Behavior, Climate Decision Making, Research Synthesis

Webpage: Click here

Sharan Maiya, MRes-PhD candidate (AI for Environmental Risk, University of Cambridge)

Area: LLMs, knowledge discovery, climate change, risk quantification, ML, AI, policy design

Co-advisor Prof. Anna Korhonen, Language Technology Laboratory (LTL) and CHIA

Funder: UKRI AI4ER CDT

Kerrie Law, MSt in AI and Ethics

Area: AI ethics, transparency, sustainability

Pengyu Zhang, PhD Candidate (Engineering)

Area: Data-centric engineering, opinion dynamics, Physics-informed ML, computational statistics

Research Assistant for the project: Data science for housing energy-health nexus

Advisor: Prof. Mark Girolami, Computational Statistics and Machine Learning Group

Haiming Luo, PhD Candidate (Earth Sciences)

Area: Social tipping points, dynamic climate-economic models, environmental data science, oceans

Co-advisor: Dr. Ali Mashayek, Modelling Ocean Dynamics & Ecosystems Lab

Funder: Cambridge Trust and CSC Cambridge Scholarship

Cuicheng Zhang, DPhil Candidate (Engineering - Oxford)

Area: Complexity science, building energy efficiency, data science

Tianzhu Qin, PhD Candidate (Social data science)

Area: Computational social science, opinion dynamics, econometrics, ML/AI, network science