CMP 2021 Seminar Series
The seminar series is now finished for 2021. Details of previous seminars, along with links to video recordings of presentations where available, are below.
Previous Seminars
In response to requests from students unable to attend seminars, where hosts give their permission, we will record presentations from 9 February onwards. Links to the recordings will be posted below the presentations for each date. You will need to log in to Google Drive with your University of Cambridge credentials to view the videos. Some presentations may not be recorded, either at the request of the host (for instance if sensitive information is presented) or if technology fails.
Thursday 25 February 2021, 1-2:15pm
Henry Husband, BP
Neural Network Model Calibration
Oliver Hedaux, Ahren Innovation Capital
Early Stage Investing: Model Development for The Identification of Investable Technologies and Industries
Tharun Puvaneswaran and Fabien Micallef, Symmetry Investments
Modelling optionality in inflation linked securities
State of the art in Covariance matrix estimation and filtering for Risk assessment
Fuzzy matching algorithm for live trade populations
Solvers for Integer Quadratic Program ("IQP") problems related to allocating trades
Click here to view a video recording of the seminar.
Tuesday 23 February 2021, 1-2:15pm
Leila Muresan, Cambridge Advanced Imaging Centre / PDN (project co-hosted with DAMTP and MRC-LMB)
Optimal transport for light microscopy
Khan Bayanker, AstraZeneca
Aggregating embeddings in deep unsupervised graph learning
Olivier Restif, Department of Veterinary Medicine
Modelling virus evolution in age-structured populations
Joe Donaldson, Unilever
Predicting the pick-up weight of chocolate from real-time factory data
Elizabeth Soilleux, Department of Pathology
Developing a method to identify highly similar short substrings of DNA sequence from a pool of longer, variably related DNA sequences
Click here to view a video recording of the seminar (Presentations 1, 3 (with a brief technical glitch) and 5 only. For more information on the AstraZeneca and Unilever projects, please contact the hosts.)
Thursday 18 February 2021, 1-2:15pm
Sara Schmidt, GSK
Advanced image analytics for drug discovery
Rahuman Sheriff, European Bioinformatics Institute (EMBL-EBI)
Mathematical modelling of cancer immunotherapy
David Booth, MM Flowers
Using mathematical techniques to assist in the continuous improvement process of a cut flower manufacturing operation
Andrew Varney, Oxford Instruments NanoScience
Analytical solutions for use of varistors in superconducting magnet quench protection
Domingo Salazar, AstraZeneca
Is Quantum Machine Learning mature for clinical applications?
Click here to view a video recording of the seminar.
Tuesday 16 February 2021, 1-2:15pm
Geoff Walker, Faraday Predictive
Pattern finding in industrial data
John Robb, Department of Archaeology
Tomb mathematics: using probability and sets to count bodies in prehistoric burials
Shameer Khader, AstraZeneca
Multi-scale modeling to enable data-driven biomarker and target discovery
TrialGraph: Machine Intelligence Enabled Insight from Graph Modeling of Clinical Trials
Weimin Li, AstraZeneca
Analytical Solution for Multi-Barrier Release, Mechanically Link Diffusion to In-vitro Release
Click here to view a video recording of the seminar.
Thursday 11 February 2021, 1-2:15pm
Cyrus Mostajeran, Department of Engineering
Optimisation algorithms, statistical models, and probabilistic methods on manifolds
Giovanni Dall'Olio, GSK
Meta-Analysis of Transcriptomics data at GSK
Nil Turan, GSK
Network reconstruction from single cell transcriptomic data
Kim Whittlestone, Health Data Insight
Capturing information from operating theatres
Click here to view a video recording of the seminar.
Tuesday 9 February 2021, 1-2:15pm
Zdravko Zhelev, DreamsAI
Low-rank matrix approximations within Kernel Methods
Prize pool and odds forecast
Card Gaming AI
Nicola de Maio, European Bioinformatics Institute (EMBL-EBI)
Models and algorithms for DNA evolution and sequencing
Tamsin Spelman, Sainsbury Laboratory
3D Mean-Field Theory for Cytoskeleton Organisation in Plant Cells
Steve Kiddle, AstraZeneca
Deep representation learning for health records: identifying patients with similar interactions with health services
Click here to view a video recording of the seminar. (Last three presentations only. For more information on the Dreams-AI projects, please contact application@dreams-ai.com.)
Thursday 4 February 2021, 1-2:15pm
Keith Briggs, BT Labs Wireless Research
Spectral estimation for irregularly-sampled complex-valued time series
Wenda Li, Department of Computer Science
Certifying real root isolation
LJ Winter, Iconal Technology
Algorithm development and modelling for security applications
Ophelia Crawford, Riverlane
Quantum computing internship
Tuesday 2 February 2021, 1-2:15pm - Student Panel
Four students who undertook CMP projects in summer 2020 will talk about the programme and their experiences.
Chelsea Williams, GSK
Understanding and prediction of process failure using time-series data
James Bayliss, MetOffice
Towards an operational quality metric for volcanic ash detection
Daniel Puerta Megias, Silvaco Europe
Numerical and Analytical Modeling of Stress Dependent Oxidation of Silicon
Alexandra Souly, Department of Veterinary Medicine
Dynamic models for zoonotic viruses in bats
