Our research group is split across two sites, the University of Cambridge and the
Cambridge Centre for Advanced Research and Education in Singapore (CARES Ltd).
Group members are involved in SynTech CDT and iDMT.
Professor Alexei Lapkin
Centre Management | Visiting Scientists | Post-docs | PhD Students
Dr Daniil Bash, iDMT Lead Scientist
PhD A*STAR IMRE ​
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Digital Chemistry
Dr Sebastian Soritz
PhD Graz University of Technology
Employee of Astex Pharmaceuticals
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Machine learning in chemical development
Dr Dogancan Karan (Senior Research Fellow)
PhD National University S​ingapore
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Process Modelling & Simulation; Digital Twins
Dr Raudah Lazim (Senior Research Fellow)
PhD Nanyang Technological University Singapore
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Chemoinformatics and Machine Learning for Chemistry
Dr Shuyuan ZHANG
PhD Tsinghua University​
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OptiMed Project
Dr Michele Assante
PhD Liverpool John Moores University
Employee of AstraZeneca
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Machine learning in chemical development
Dr Pavlos Gkinis
PhD National Technical University of Athens
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Process Modelling & Simulation
Michael Zhou
Imperial College London
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ML for reaction development
Nathan Harmer
Durham University​
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ML for catalysts design
Adarsh Arun
National University Singapore;
MPhil Cambridge​
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Networks in Chemistry
Zheng Jie Lieu
National University of Singapore
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ML for Polymer Development
Kevin Ballu
BSc in Chemistry, Université de Bordeaux, MSc in Food Sciences, Université de Rennes and Université de Nantes, MSc in Material Chemistry specialising in soft matter, Université de Bordeaux
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Formation of crystalline nanocellulose
Anna Katsarou
University of Patras;
Imperial College London​
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ML for Process Synthesis
Julia Stachyra
University of Cambridge (MPhil)
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Data science for sustainable chemistry
Žak Šinkovec
BSc University of Ljubljana; MSc KU Leuven
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PREDICTOR MCTN
Michail Vousvoukis
MEng Manchester
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Process Systems Engineering
Pietro Willi
BS Chemistry University of Manchester, MSc Chemistry University of Zurich​
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High Throughput Chemistry with ML
Ignacy Jemiol
MEng University College London
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Process Systems Engineering
Meng X. Kong
MEng Cambridge
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PREDICTOR MCTN