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Summer Research Programmes

 

Cambridge Mathematics Placements (CMP): 2024 projects

In summer 2024, a total of 30 students undertook CMP projects.  There were 17 Academic CMP projects, which are mathematical projects hosted by departments, labs, and institutes within Cambridge university other than the Faculty of Mathematics (click here to jump to the list of academic projects).  A further 13 Industrial CMP projects took place with host companies external to the university (click here to jump to the list of industrial projects).

 

2024 CMP Project Proposals

If you would like to browse the original project proposals / advertisements, which contain project descriptions, you can find them via the following links: 

Links to the relevant project proposals are also included in the full list of summer 2024 projects below. 

You can also view the programme for the CMP Lunchtime Seminar Series from February 2024: 

 

2024 CMP Presentation Day

The CMP Presentation Day takes place annually towards the end of August.  It offers CMP students the chance to deliver a talk about their project and share what they have been working on with fellow students, CMP host supervisors, and friends of the programme.  Also invited to present are the student undertaking projects in the CMS as part of the Philippa Fawcett and Cambridge Mathematics Open Internships.  Below you will find a link to the 2024 CMP Presentation Day Schedule & Programme which includes talk abstracts. Where slides are available to view, you will find a link next to the relevant project below. 

 


2024 Academic CMP Projects

Rebekah Bryant, Department of Pathology and Lyzeum Ltd.
Developing an explainable segmentation tool for duodenal biopsy diagnosis from whole slide images, to maximise likelihood of clinical adoption  |  Project Proposal  |  Presentation Slides 

 

Dora Chen, Sainsbury Laboratory Cambridge University
How do plant cells develop, grow and communicate?  |  Project Proposal 

 

Justin Chen, Plus (plus.maths.org), Millennium Mathematics Project
Communicating mathematics – developing comprehensive and targeted coverage on Plus (plus.maths.org)  |  Project Proposal  |  Presentation Slides 

 

Xiaoyu Deng, Cambridge Advanced Imaging Centre, Department of Physiology, Development and Neuroscience
Embryo segmentation in microscopy images using AI (SAM)  |  Project Proposal 

 

Jenny Dunstan, Goldman group at EMBL-EBI
Neural networks for protein identification  |  Presentation Slides 

 

Karan Elangovan, Sainsbury Laboratory Cambridge University
Microtubule organisation in plant cells  |  Project Proposal 

 

Arthur Frisk, Department of Pathology
Developing a Frameshift Peptide Database  |  Project Proposal

 

Scott Hislop, MRC Biostatistics Unit
Discovery of novel biomarkers using unsupervised statistical learning  |  Project Proposal  |  Presentation Slides 

 

Daisy Jia, Department of Chemistry
Model comparison and robust estimators for equilibria in supramolecular chemistry  |  Project Proposal  |  Presentation Slides 

 

Tomasz Kinowski, Deep Hearing Lab, MRC Cognition and Brain Sciences Unit
Shaping electrical stimulation in hearing implants  |  Project Proposal 

 

Brian Peng, Goldman group at EMBL-EBI
Pandemic-scale genomic epidemiology  |  Project Proposal 

 

Edwin Tang, Judge Business School
Time series models for forecasting health service demand driven by weather (temperature, precipitation) extremes and variations.  |  Project Proposal 

 

Patrick Thomas, Department of Geography
Modelling tree growth responses to climate change  |  Project Proposal 

 

Erdem Baha Topbas, Deep Hearing Lab, MRC Cognition and Brain Sciences Unit
Statistical Properties of Speech: Guiding the Generation of Synthetic Speech Corpora  |  Project Proposal 

 

Joel Winterton, Goldman group at EMBL-EBI
Pandemic-scale genomic epidemiology  |  Project Proposal 

 

Alex Yan, Cambridge Advanced Imaging Centre, Department of Physiology, Development and Neuroscience, MRC Laboratory of Molecular Biology
Embryo segmentation in microscopy images using AI  |  Project Proposal 

 

Junzhe Zhu, Sainsbury Laboratory Cambridge University
Parameter inference from time-lapse images  |  Project Proposal 

 


2024 Industrial CMP Projects

Somsubhro Bagchi, Novo Nordisk, Digital Science and Innovation, Human Genetics CoE
Diffusion Models for Context-Aware Splice Site Prediction  |  Project Proposal .

 

Benjamin Gladwyn, Pharo Management
FX Exotic Derivatives

 

Gilad Fibeesh, Pharo Management
Changepoint Detection in Financial Time Series  |  Project Proposal 

 

Ewan Heaney, Silvaco, TCAD
Finite difference approximation of the Stokes flow with free interfaces on staggered Cartesian grids  |  Project Proposal

 

Amier Hussen, Aspect Capital
Pricing and hedging short term interest rate options  |  Project Proposal

 

Kell Johnston, Cambridge Open Zettascale Lab, University Information Services
A data-driven approach to carbon footprint reporting for High Performance Computing (HPC) at the University of Cambridge  |  Project Proposal  |  Presentation Slides 

 

Zhimei Liu, Silvaco, TCAD
Study of ion collision models during implantation  |  Project Proposal 

 

Alexander Makarovskiy, ORCA Computing
Solving graph problems with a photonic quantum processor  |  Project Proposal  |  Presentation Slides 

 

Zac Owen, Silvaco, TCAD
Mathematical models of thermal oxidation of silicon carbide: verification and calibration  |  Project Proposal 

 

Josefa Stoisser, Novo Nordisk, Digital Science and Innovation, Machine Intelligence
Providing genomic and molecular network context for in-silico predicted drug-target candidates to aid hypothesizing their mode of action  |  Project Proposal

 

Weronika Wiesiolek, Riverlane
Internship in Quantum Computing: Highly accurate and performant quantum error decoding  |  Project Proposal   |  Presentation Slides 

 

Adaline Wu, APEX Horticulture
Evaluating the impact of alternative freight methods on the transportation of cut roses from the Equator to Europe  |  Project Proposal ​​​​​​​

 

Maxwell Ye, Cambridge Open Zettascale Lab, University Information Services
Comparative Analysis of AI accelerators with standardised Machine Learning benchmarks  |  Project Proposal