Dr Vivien Gruar

Name:	Dr Vivien Gruar
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	Thu Dec 08 10:59:50 +0000 2022

Public lists managed by Dr Vivien Gruar

• Cambridge Mathematics Placements (CMP) Seminars
• PMP Project seminars

Talks given by Dr Vivien Gruar

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

Talks organised by Dr Vivien Gruar

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Dr Vivien Gruar actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Developing a single-cell transcriptomic data analysis pipeline
• Developing an optimisation algorithm to supervise active learning in drug discovery
• Algorithmic Investigation of Large Biological Data sets
• New methods for genetic analysis
• Statistical analysis of biotherapeutic datasets to facilitate early ‘Critical Quality Attribute’ characterization.
• Constraint Analysis and Optimization in Medicine Development and Supply
• Enhanced Decision Making in Drug Discovery
• A stochastic model for understanding PIN polarity in isolated cells
• Development of machine learning based approaches for identifying new drug targets
• Optimising fresh produce quality monitoring and analysis
• Investigation into appropriate statistical models for the analysis and visualisation of data captured in clinical trials using wearable sensors
• Near-term quantum algorithms
• Index of Suspicion: Predicting Cancer from Prescriptions
• Assessment of data completeness in the National Cancer Registry and the impact on the production of Cancer Survival Statistics
• What can we learn about cancer by modelling the data on it?
• Develop a tool for inferring symptoms from prescriptions histories for cancer patients
• Title to be confirmed
• Mapping laboratory reports for molecular genetic testing to the National Cancer Registration and Analysis Service (NCRAS)
• Developing novel methods for interrogating tree ring anatomy for use in modelling carbon sequestration
• Simulating Electricity Prices: negative prices and auto-correlation
• Understanding and Estimating Physical Parameters in Electric Motors using Mathematical Modelling
• Real Time Tomography X-Ray Imaging System - Geometry Calibration by Optimisation
• Mechanistic model development to characterise drug effects on platelets over time in pharmaceutical research.
• Leveraging the imaging power of the Beacon platform
• Optimising the definition of MR-based lung imaging biomarkers
• Atmospheric Structure Revealed by Refraction of Routine Radio Transmissions from Civil Aircraft.
• Propagation of Very Low Frequency Emissions from Lightning
• Deconvolution of immune cells in tumour tissue using gene expression data
• Maximising nestedness in bipartite graphs
• Predicting the effect of mutations on protein-protein interactions
• Nonlinear optimization method for the estimation of neural activation patterns in users of cochlear implants
• Application of compressed sensing to biomolecular NMR spectroscopy
• Developing stochastic models to explain the prevalence and distribution of a transmissible cancer
• Applied Machine Learning in Finance