A Research Conference of the Cantab Capital Institute for the Mathematics of Information.

Background

The Cantab Capital Institute for the Mathematics of Information (CCIMI) was pleased to announce its fourth annual academic conference, which focused on the academic interactions taking place related to Mathematical Foundations of Optimisation in Data Science.

Launched in 2016, CCIMI accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. Data science research performed in the Institute is of the highest international level, aiming to extract the relevant information from large and high-dimensional data with a predictable certainty.

This event followed previous successful academic and industrial engagement events, which focused on different aspects related to the mathematics of information.

Aims and Objectives

This event brought together those academics working to advance data science and provided an update on the research and collaborations taking place at CCIMI, associated challenges and other potential collaborative opportunities, as well as highlighting projects being developed elsewhere related to data analysis.
The talks covered:

• Applications of optimisation methods in engineering and science

• Algorithm design, analysis and implementation for linear and nonlinear non convex smooth optimisation

• Regularisation

• Optimisation for machine learning.

There was a session for shorter “elevator pitches” from next generation researchers, who also had the opportunity to present more detail about their work.

This event was of interest to participants including social scientists; physicists; engineers; biomedical scientists as well as those working in statistics; pure, applied and computational analysis; quantum computing; cryptography; communication and security;  and those from data processing.

Registration and Venue

The workshop took place virtually via Zoom.