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Summer Research Programmes

 

2026 CMP Lunchtime Seminar Series

CMP hosts are invited to give short presentations about their proposed projects at the CMP Lunchtime Seminar Series.  The seminar will include a buffet lunch and be followed by tea and coffee in the Central Core where interested students will have the opportunity to talk informally with the hosts to find out more about their projects.   

The CMP Lunchtime Seminars will take place in Meeting Room 3 from 1:30pm on Tuesdays and Wednesdays in February 2026.  The schedule for each week will be posted below as speakers are confirmed. 

Presentations will be recorded where possible (and where permission is granted by the speakers), but we recommend attending in person if you are able.  To view the recordings, you will need to first log into the CMP Moodle with your CRSID and password. You should only need to go via the Moodle the first time; afterwards, you can just click on the direct link to the recording.

 

Upcoming Seminars

Tuesday 10 February 2026

Argyris Zardilis, Sainsbury Laboratory
Learning the Physics of Growth: Automated Discovery of Mechanistic Rules in Flower Development

Amir Porat, Sainsbury Laboratory
Mechanochemical Feedback and Growth Dynamics in Rod-Like Plant Organs
Cellularization and Perturbations of Self-Similar Plant Growth

Euan Smithers, Sainsbury Laboratory
Can we use dynamical systems to predict what has happened in the past?

 

Wednesday 11 February 2026

Josefa Stoisser, Novo Nordisk
Virtual Cells with Large Language Models

Sophia Belkhir, Department of Veterinary Medicine
Quantitative Analysis of Host–Transmissible Cancer Interactions Using Genomic Data in Tasmanian Devils

Kevin Gori, Department of Veterinary Medicine
Acquisition of foreign DNA by transmissible cancer genomes

 

Tuesday 17 February 2026

Samuel Martin, European Bioinformatics Institute
Mathematical and computational methods to analyse genetic data

François Guerit, MRC Cognition and Brain Sciences Unit
Using Computational Modelling to Improve Perception with Cochlear Implants

Lidea Shahidi, MRC Cognition and Brain Sciences Unit
Statistical Properties of Synthetic Speech: An Analysis of Generative Text-to-Speech Models
Using Machine Learning to Improve Speech Perception with Hearing-Assistive Devices

 

Wednesday 18 February 2026

Sebastian Burgstaller-Muehlbacher & Nicola Richmond, Boehringer Ingelheim Limited
Foundation models for cancer biology

 

Tuesday 24 February 2026

Antonio Zarrillo & Silvia Stanescu, Emcore Asset Management
Implied Volatility Surface Construction, Diagnostics, and Decomposition

Nehal Patel, G-Research
Agentic AI for Formalized Math

Jan Novotny, Nomura International Plc
Fragmented Order-book Content Assessment and Liquidity-weighting (FOCAL)

Paul McCloud, Nomura International Plc
Option pricing with quantum information

 

Wednesday 25 February 2026

Ellanette Van Zyl, MM Flowers
Correlation Between Forecast Accuracy, Stock Dwell Time and Retailer Waste on Customer Complaints: A Study of Yellow and White 40cm & 50cm Roses at MM Flowers

 

Past Seminars

Tuesday 3 February 2026

This first seminar in the series featured a panel discussion with some students who worked on CMP projects in 2025 as well as a short presentation from Dr Sonali Shukla (Careers Consultant) from the Careers Service with advice on making your applications.  The panel discussion could not be recorded, but you can find the recording of Dr Shukla's talk below as well as her slides and links to the Careers Centre resources she mentions during the talk: 

Dr Sonali Shukla, Careers Service
Getting an Internship: A look at CVs and cover letters (Recording | Slides)

Student Panel: 

Ben Handley, Sainsbury Laboratory
Modelling the unknowns! How do plant cells develop, grow and communicate?

Jack Brightwell, Signaloid
Discrete Representations of Continuous Probability Distributions

 

Wednesday 4 February 2026

Click here to view the recording of this seminar on Panopto (If you have never done so, you will need to log into the CMP Moodle with your CRSID and password before clicking the link)

Charlotte Garcia, MRC Cognition & Brain Sciences Unit
Denoising and optimising neural data in cochlear implant users

Marj Batchelor, Cambridge Violin Makers & Faculty of Mathematics
Correlations between shape and sound: a resource for violinmakers

Amy Zheng, VisionLab, Department of Physics
Reducing Skin-Tone Bias in Clinical Photoacoustic Imaging using Machine Learning and Computational Modelling
Learning the Gap Between Simulated and Experimental Spectral Data