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 CDT
Sara Abdelaziz, DPhil Engineering (Schlumberger Scholar, University of Oxford)
Area: Renewable energy, net zero, climate change, LLM, ML, AI, policy design
Research Assistant for the project: Scoping large language models for climate mitigation decision making
Funder: Schlumberger Foundation (Oxford) and CHRG (Cambridge)
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, MPhil Candidate (Architecture)
Area: Complexity science, building energy efficiency, data science
Tianzhu Qin, MPhil Candidate (Cambridge Judge Business School)
Area: Computational social science, opinion dynamics, econometrics, ML/AI, network science
Sourjyamoy Barman, B.S. Mathematics and Computing (Neukom Scholar, Dartmouth College)
Area: Game theory, ML, AI, Climate decision making
Funder:The Neukom Institute for Computational Science
Kamna V., M.Tech Computer Science (Vellore Institute of Technology)
Area: Data analytics, NLP, Human behaviour modelling, Optimization, Computational statistics