DataLearning PhD students
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Ollie Pitts
Affiliations
Ollie is a PhD student on the AI for Healthcare CDT, co - supervised across the Data Science Institute, National Heart & Lung Institute and Royal Brompton & Harefield h ospital. He develops multi-modal AI methods that integrate medical imaging, clinical and molecular data to better understand airway structure and function, with the goal of improving how conditions such as asthma, COPD, and non-CF bronchiectasis are classified and characterised.
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Andrianirina Rakotoharisoa
Affiliations
Andrianirina is a PhD candidate in Machine Learning affiliated with the Data Science Institute and based in the Department of Earth Science & Engineering. His research focuses on the c oupling of r emote s ensing d ata and m achine l earning for g reenhouse g as e missions m onitoring and specifically explores generative models (diffusion models), super-resolution, and the analysis of spatio -temporal data for climate applications.
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Olivia Atkins
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Affiliations
Olivia is a PhD candidate in the Department of Civil and Environmental Engineering, and is affiliated with the Data Science Institute and the Leverhulme Centre for Wildfires. She aims to understand the drivers and impacts of drought and associated wildfire in the Peruvian Andes by assimilat ing novel datasets into sub-seasonal to seasonal drought prediction models.
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Eleda Johnson
Affiliations
Eleda is a PhD student in Computa tio n a l Science and Engineering and a member of the Data Learning group . Her research is focused on applying mesh adaptation and machine learning methods to wards a ccelerating computational simulation for tidal energy applications.
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Hongwei Fan
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Affiliations
Hongwei Fan was a PhD student supervised by the Data Science Institute and the Centre for Environmental Policy, and a member of the Data Learning group. His research focused on fine-scale spatio -temporal air po llution model through data fusion and machi ne le arning methods. Prior to his PhD, he earned a master's degree in biomedical engineering from Tsinghua University and worked as an AI engineer at SenseTime.
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Robert Platt
Affiliations
Robert is a PhD student of the Data Learning group, working on applications of Machine and Data Learning to Planetary Science and Remote Sensing . Specifically, he develops generative and classification models for use with hyperspectral CRISM data of Mars, laying groundwork for ESA’s ExoMars rover, Rosalind Franklin.
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Georgia Ray
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Affiliations
Georgia is a PhD student co-supervised by the Centre for Environmental Policy and the Data Science Institute, and a member of the Data Learning group. She focuses on environmental applications of machine learning, with a particular emphasis on the interpretation of global climate-economy models (Integrated Assessment Models) for corporate actors.
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Kun Wang
Affiliations
Kun is a PhD student at the Data Science Institute and a member of the Data Learning group. His research focuses on the use of machine learning and data assimilation for flood event modelling and flood forecasting.
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Ida Caspary
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Affiliations
Ida is a PhD student in technical AI safety and a member of the Data Learning group. Her research develops methods to make foundation models more robust, reliable, and interpretable. She uses tools including mechanistic interpretability, failure-mode analysis, and evaluation to understand and mitigate risks in model behaviour. The aim is transparency and controllability in how neural networks make decisions.
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Gabriele Bertoli
Personal details
Gabriele BertoliAffiliations
Currently finalising his PhD on river flood forecasting combining hydrology and data science to improve the accuracy and lead time of flood forecasting. Gabriele’s research also explores flood risk management and assessment, flood vulnerability and water resources management. He has been involved in national and international projects, including CASTLE and AG-WaMED . He is pursuing his PhD at the University of Florence, Italy, in collaboration with the Data Learning group and the Data Science Institute at Imperial College London and the Leichtweiß -Institute for Hydraulic Engineering and Water Resources Management (TU Braunschweig).
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Gemma Ralton
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Affiliations
Gemma is a Science Communication Researcher and Practitioner at Imperial . She recently began a PhD in Science Communication , co-supervised by Imperial's Centre for Languages, Culture and Communication and the Data Science Institute (DSI) , specialising in online climate misinformation . She is part of the Data Learning Group, supervised by Dr Kanta Dihal and Dr Rossella Arcucci , and also holds a position in the DSI as Communications Officer.