The Cantab Capital Institute for the Mathematics of Information (CCIMI) will hold an Industry engagement day in November 2017. This event aims to showcase the research that is being carried out at the Institute and will present an opportunity to hear in detail about some of the current project collaborations, other industry challenges and explore new potential collaborations. This event follows the previous industry and academic engagement events delivered in November 2016 and May 2017.
The Cantab Capital Institute for the Mathematics of Information accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. Data science research performed in the Institute is at the highest international level, aiming to extract the relevant information from large and high-dimensional data with a predictable certainty. For more detailed information on projects, please see the CCIMI website.
Aims and Objectives
The main focus of this one day conference event was as an industrial engagement day that provided an update on research and collaborations taking place at CCIMI, as well as highlighting projects being developed elsewhere. The talks highlighted research taking place at CCIMI, with associated industrial engagements and looked to explore the big questions in data science where mathematics is most suited to help provide answers.
There was the opportunity to present at a poster exhibition, which ran during the lunch and the networking sessions and the event closed with a facilitated panel session, followed by a drinks reception.
This event was of interest to participants including economists; 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.
Cambridge University
ACTNext Navigator
Oxford University
ICGEB
School of Information, UC Berkeley
Emese Domahidi & Mario Haim
Chalmers Production Area of Advance
COVID Chasers
minhaaj rehman
Within&Between Podcast
The Data Analysis Bureau
National Centre for Research Methods
Kyle Polich
futureofgood
Manuel Pasieka
Kim McAllister
ACD/Labs
Sam Charrington
Cambridge University
CosmiQ Works
Oxford University
Kimberly Nevala, Strategic Advisor - SAS
The Alan Turing Institute
Microbial Bioinformatics
Dan Fu, Karan Goel, Fiodar Kazhamakia, Piero Molino, Matei Zaharia, Chris Ré
Cambridge University
Lukas Biewald
WWHGD Support
DataLab Materials Informatics Podcast
RE•WORK
Sri Krishnamurthy
Katherine A. Keith & Lucy Li
Kris Villez and Jörg Rieckermann
Sama
Element8
WSWHE BOCES Data Analysis Service
Ruthanne Huising and Pedro Monteiro
Richard Foster-Fletcher
Armins Bagrats Stepanjans
Deep
Yusuf Moolla
SAP SE
Gustavo Lujan
Data & Society
Big Cloud
Cambridge University
Cambridge University
Ronni Ravid & Zenne Hellinga
Royal Statistical Society
Maxime Lenormand
Gerry McGovern
Oxford University
Philipp Packmohr
Esri
BMC Software
Routeique Inc
Colin Warwick, Agilent EEsof EDA
Dr Linda McIver
No Bias
Why Not Change the World? The RPI Podcast
Cambridge University
FH Media Consulting
The TDS team
Imarticus Learning
Scott MacKenzie
Millan Chicago
David Yakobovitch
Samuel Chandra
Dr. Ronald Knight-Beck
Berkeley MDes
Changelog Media
Professor Margot Gerritsen, Cindy Orozco Bohorquez
Sonder Studio
Admission Committee of SCIT
Vidita Mehta
Charlie You
Vit Tall LLC
Francesco Gadaleta
Centre for Longitudinal Study and User Support (CeLSIUS), UCL
The Corresponding Author
mapscaping.com
Oxford University
Korem
Cambridge University
Kambiz Chizari, Ilyass Tabiai
Marcel Kurovski
Studies Show
DeSci Foundation
PwC
ParsonsTKO
machinelrn
Calvin H
Atkins, member of the SNC-Lavalin Group
Stanford Materials Computation and Theory Group, Qian Yang's lab at the University of Connecticut
various lecturers
Charles Handler
Mack Powers
Christie Bahlai
The School of Physics and Astronomy