Introducing theDSI

Professor Yike Guo
Data Science InstituteData Science InstituteMission

Focal point for co-ordinating data science research
Supporting data driven research
Educating a new generation of data scientists
Advise College on data strategy and policy
Translation of data science innovation by close collaboration
with industry

1. Focal point for co-ordinating data science research
Natural Sciences

MedicalSystems oncology

Imaging

Realtime metabolic
profiling

Infection/epidemiology

Cardiovascularscience

Neuroscience

Particle physics

System biology

EngineeringComplex
systems &network dataanalytics

Highthroughput
screening

Business
Socialmedia &new databusiness

Digital cities& urban life

Algorithmic
trading

Public healthmanagement

Molecular profiles

Physiological measurements

Data Driven Healthcare

Environmental
monitoringEnergy & Environment of Future Cities:
Human Mobility

Understanding humanurban mobility is key tobetter city planning

London270 tube stations
1 year of data
1.23 billion passengers per year

Health, Wellbeing & Personalised Medicine
Health and Development

Understanding therelationships between
global health andeconomic development

187 countries
34 years
Diabetes, obesity, GDPper capita and diet

Health, Wellbeing & Personalised Medicine
Health and Development

2. Supporting data driven research

Platform

Algorithms

Facility

Data science applications
Visualizations

ModelsInsights

Predictions

eTRIKS: European translational informatics
platform
eTRIKS repository
Clinical andMolecular (‘omics)
data

eTRIKS researchcommons

External resources

eTRIKS analytics

KEGG

Open AccessAnalytics
Scientific Evidence
Repository
R-cloudPriorknowledge

CDISC and ISA
standards

Study-centric

Collaborative research accessplatform

eTRIKS user interface

EntrezAtlas

Scientificfindings

Research dataUniprot

TM Knowledge
BaseResearchResults andFindings

Science-centricWiki-Health: Integrating human physiology models
and data assimilation• Example of simulating full body temperatures and energy transformation• Core body temperature & Safety• Data assimilation with body sensor data for building individual models

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Age: 27, Weight：80kg

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1- 60 min running at a speed of 6mph with airtemperature 30°C

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60-120 min sit still with air temperature 42°C

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120-180 min sit still with air temperature 10°C

180-240 min running at a speed of 6mph with airtemperature 10°C

eTRIKS and Wiki-Health: Big data platform forpersonalized medicine
Activation mapSingle
subject
GLM

Smoothedimages

MVPA

Contrast
maps

Hemodynamic Response Function

eTRIKS/tranSMART

Diagnosis
code

Ontology

Scan image

Discharge
letterData collection app

Medicalnotes

Data Model

Analytics

Clinicaldata
Phenotypic profiles

Molecule
perturbations

EHR

Laboratory
test

Effect/Correlation
mapA
B
C
DE
F
G
H
Effects

09/03/2015

Yike Guo (y.guo@imperial.ac.uk)

12Research in 2015
Transdisciplinary Research••••Medicine: eTRIKS apply to 4 disease fields
Engineering: Wikisensing for smart city
Health : Wikihealth for bodysensor
Business School : data economy

Data Science Methodology•••

R machine
Deep learning
Statistical HPC

Visualization

DataScienceInstitute

Infrastructure :ICBig••GDO
Imperial Visual APPResearch Collaboration 2015Europe•EU H2020

ChinaJAPAN•••

Collaboration with Research
Organization of Informationand Systems (MoU in Feb)
Joint projects via ROIS

DataScienceInstituteUSA••

Co-design education course
Focus on industry (IBM)••ZJU Collaboration Consolidation (PhD scholarships and IC/ZJU joint projects)
Apply for Newton Funding
One more joint Lab with Chinese organization

3. Educating a new generation of data scientists

Data Science Institute:
The introduction of data science modules, with a balance derived
from Computing, Mathematics, EEE, and the Business School, asadditional electives within existing MSc programmes acrossImperial’s four faculties, to teach core topics in data science
within domain specific specialisms.
To launch in the academic year 2016-2017

Education 2015
Continuing Professional Development
AIM: Up to five modules will be offered by the DSI as CPD courses forustry professionals and PhD students.
1. Foundations of Data Science
2. Analytics and Machine Learning
3. Programing Big Data
4. Very large Data Management and Visualization5. Data Economy

2015 Target: By May have advertised one CPD course to run in late 2015:ind

Education 2015/16
MSc X (Data Science)
The same modules for the CPD will plug into existing MSc courses around College inof existing elective modules or streams to create a Data Science Streamplace

1. Foundations of Data Science
2. Analytics and Machine Learning
3. Programing Big Data
4. Very large Data Management andVisualization

Choose4

MSc Materials with Data Science

5. Data Economy

During 2015 DSI will be designing these modules, enlisting teaching staff, liaising withDepartments and gaining internal approvals.
2015 Target: By Dec 2015 have advertised the Data Science stream in at least 2 MScs
for Sept 2016 uptake

4. Advise
Collegeon datainto
policyand strategy
Translating
Innovation
ValueImpact and Influence• Data economy and business model research• DSI Book – Springer• •Distinguished
Speakers Series
Entrepreneurshipin data economy• Data Insight Speaker Series• Idea Lab• Host major international conference in Big Data for Brain Health, 8/15
• •Leading
the “International
Data Science Academy “Prototyping
platform• Research Data Management at Imperial College• Industrial on-ramp

5. Translate innovation with industry partners•

Industry funded labs•

Joint research labs for academic collaboration•

Joint research programme•

Industrial funded PhD studentships•

Visiting researcher scheme

Collaborations with Industry
Data Science Institute

Huawei Data Science
Innovation LabKPMG

Collaborations with Industry 2015
Data Science Institute

Huawei Data Science
Innovation Lab•

Establish 5 projects acrossthe main themes high performance deep learning scalable models of information
propagation in networks
 scalable algorithms for mining
high-dimensional / highfrequency data body sensor networks andinformatics
 big data for big science•

Hire Lab Manager

Add at least 1 addition
al major UK partner

KPMG• Explore relationships
with IBM, Shell, BT,
Bank of England andVodafone• Build GDO andestablish as a corefacility

Operations
Creating a Hub
Physical Location• Open DSI Hub on SK site in May 2015
• High profile launch event in October 2015, inviting global partners• Develop hub and spoke model for researchers, allowing integration across all campuse

Visualisation• Develop and build GDO• Advertising space – content, relationships, finance model

Finance model• Research o’heads, visulisation content, CPD course, MSc Stream, PhDs