People

Faculty

MRC Integrative Epidemiology Unit (IEU) — Bioinformatics and Data Mining theme

William Browne

SPHERE: a Sensor Platform for HEalthcare in a Residential Environment

REFRAME: Rethinking the Essence, Flexibility and Reusability of Advanced Model Exploitation

Wouter Duivesteijn

Claire Taylor

Telmo de Menezes

Hao Song

Reem Al-Otaibi

Louise Millard

Miquel Perello Nieto

Kacper Sokol

Meelis Kull

Niall Twomey

Tom Diethe

Peter Flach

Next Generation Pattern Matching

Raphaël Clifford

Tatiana Starikovskaia

Allyx Fontaine

Novel Methodology for predicting the Functional Effects of Genetic Variation

An Active Learning Approach to Network Inference

Mark Rogers

Michael Ferlaino

Simon Price

Colin Campbell

SuSTaIn: Statistics underpinning Science, Technology and Industry

Yi Yu

Nick Whiteley

Vladislav Tadic

Jonathan Rougier

Ben Powell

Marcelo Pereyra

Guy Nason

Arne Kovac

Zhangyi He

Peter Green

Vanessa Didelez

Sourav Das

Panayiota Constantinou

Haeran Cho

Patrick Cannon

Clive Bowsher

Mark Beaumont

Christophe Andrieu

EU H2020

Data Science @ Bristol launched

FORSIED: Formalising the Subjective Interestingness in Exploratory Data Mining

DS4DEMS: Data Science for the Detection of Emerging Music Styles

ERC

EPSRC

Bo Kang

Eirini Spyropoulou

Cedric Mesnage

Jefrey Lijffijt

Raul Santos-Rodriguez

Matt McVicar

Tijl De Bie

FIIP: From Frequent Itemsets to Informative Patterns

Postdocs

MRC Integrative Epidemiology Unit (IEU) — Bioinformatics and Data Mining theme

William Browne

SPHERE: a Sensor Platform for HEalthcare in a Residential Environment

REFRAME: Rethinking the Essence, Flexibility and Reusability of Advanced Model Exploitation

Wouter Duivesteijn

Claire Taylor

Telmo de Menezes

Hao Song

Reem Al-Otaibi

Louise Millard

Miquel Perello Nieto

Kacper Sokol

Meelis Kull

Niall Twomey

Tom Diethe

Peter Flach

Next Generation Pattern Matching

Raphaël Clifford

Tatiana Starikovskaia

Allyx Fontaine

Novel Methodology for predicting the Functional Effects of Genetic Variation

An Active Learning Approach to Network Inference

Mark Rogers

Michael Ferlaino

Simon Price

Colin Campbell

SuSTaIn: Statistics underpinning Science, Technology and Industry

Yi Yu

Nick Whiteley

Vladislav Tadic

Jonathan Rougier

Ben Powell

Marcelo Pereyra

Guy Nason

Arne Kovac

Zhangyi He

Peter Green

Vanessa Didelez

Sourav Das

Panayiota Constantinou

Haeran Cho

Patrick Cannon

Clive Bowsher

Mark Beaumont

Christophe Andrieu

EU H2020

Data Science @ Bristol launched

FORSIED: Formalising the Subjective Interestingness in Exploratory Data Mining

DS4DEMS: Data Science for the Detection of Emerging Music Styles

ERC

EPSRC

Bo Kang

Eirini Spyropoulou

Cedric Mesnage

Jefrey Lijffijt

Raul Santos-Rodriguez

Matt McVicar

Tijl De Bie

FIIP: From Frequent Itemsets to Informative Patterns

PhD students

MRC Integrative Epidemiology Unit (IEU) — Bioinformatics and Data Mining theme

William Browne

SPHERE: a Sensor Platform for HEalthcare in a Residential Environment

REFRAME: Rethinking the Essence, Flexibility and Reusability of Advanced Model Exploitation

Wouter Duivesteijn

Claire Taylor

Telmo de Menezes

Hao Song

Reem Al-Otaibi

Louise Millard

Miquel Perello Nieto

Kacper Sokol

Meelis Kull

Niall Twomey

Tom Diethe

Peter Flach

Next Generation Pattern Matching

Raphaël Clifford

Tatiana Starikovskaia

Allyx Fontaine

Novel Methodology for predicting the Functional Effects of Genetic Variation

An Active Learning Approach to Network Inference

Mark Rogers

Michael Ferlaino

Simon Price

Colin Campbell

SuSTaIn: Statistics underpinning Science, Technology and Industry

Yi Yu

Nick Whiteley

Vladislav Tadic

Jonathan Rougier

Ben Powell

Marcelo Pereyra

Guy Nason

Arne Kovac

Zhangyi He

Peter Green

Vanessa Didelez

Sourav Das

Panayiota Constantinou

Haeran Cho

Patrick Cannon

Clive Bowsher

Mark Beaumont

Christophe Andrieu

EU H2020

Data Science @ Bristol launched

FORSIED: Formalising the Subjective Interestingness in Exploratory Data Mining

DS4DEMS: Data Science for the Detection of Emerging Music Styles

ERC

EPSRC

Bo Kang

Eirini Spyropoulou

Cedric Mesnage

Jefrey Lijffijt

Raul Santos-Rodriguez

Matt McVicar

Tijl De Bie

FIIP: From Frequent Itemsets to Informative Patterns

Visiting

MRC Integrative Epidemiology Unit (IEU) — Bioinformatics and Data Mining theme

William Browne

SPHERE: a Sensor Platform for HEalthcare in a Residential Environment

REFRAME: Rethinking the Essence, Flexibility and Reusability of Advanced Model Exploitation

Wouter Duivesteijn

Claire Taylor

Telmo de Menezes

Hao Song

Reem Al-Otaibi

Louise Millard

Miquel Perello Nieto

Kacper Sokol

Meelis Kull

Niall Twomey

Tom Diethe

Peter Flach

Next Generation Pattern Matching

Raphaël Clifford

Tatiana Starikovskaia

Allyx Fontaine

Novel Methodology for predicting the Functional Effects of Genetic Variation

An Active Learning Approach to Network Inference

Mark Rogers

Michael Ferlaino

Simon Price

Colin Campbell

SuSTaIn: Statistics underpinning Science, Technology and Industry

Yi Yu

Nick Whiteley

Vladislav Tadic

Jonathan Rougier

Ben Powell

Marcelo Pereyra

Guy Nason

Arne Kovac

Zhangyi He

Peter Green

Vanessa Didelez

Sourav Das

Panayiota Constantinou

Haeran Cho

Patrick Cannon

Clive Bowsher

Mark Beaumont

Christophe Andrieu

EU H2020

Data Science @ Bristol launched

FORSIED: Formalising the Subjective Interestingness in Exploratory Data Mining

DS4DEMS: Data Science for the Detection of Emerging Music Styles

ERC

EPSRC

Bo Kang

Eirini Spyropoulou

Cedric Mesnage

Jefrey Lijffijt

Raul Santos-Rodriguez

Matt McVicar

Tijl De Bie

FIIP: From Frequent Itemsets to Informative Patterns

Former members

MRC Integrative Epidemiology Unit (IEU) — Bioinformatics and Data Mining theme

William Browne

SPHERE: a Sensor Platform for HEalthcare in a Residential Environment

REFRAME: Rethinking the Essence, Flexibility and Reusability of Advanced Model Exploitation

Wouter Duivesteijn

Claire Taylor

Telmo de Menezes

Hao Song

Reem Al-Otaibi

Louise Millard

Miquel Perello Nieto

Kacper Sokol

Meelis Kull

Niall Twomey

Tom Diethe

Peter Flach

Next Generation Pattern Matching

Raphaël Clifford

Tatiana Starikovskaia

Allyx Fontaine

Novel Methodology for predicting the Functional Effects of Genetic Variation

An Active Learning Approach to Network Inference

Mark Rogers

Michael Ferlaino

Simon Price

Colin Campbell

SuSTaIn: Statistics underpinning Science, Technology and Industry

Yi Yu

Nick Whiteley

Vladislav Tadic

Jonathan Rougier

Ben Powell

Marcelo Pereyra

Guy Nason

Arne Kovac

Zhangyi He

Peter Green

Vanessa Didelez

Sourav Das

Panayiota Constantinou

Haeran Cho

Patrick Cannon

Clive Bowsher

Mark Beaumont

Christophe Andrieu

EU H2020

Data Science @ Bristol launched

FORSIED: Formalising the Subjective Interestingness in Exploratory Data Mining

DS4DEMS: Data Science for the Detection of Emerging Music Styles

ERC

EPSRC

Bo Kang

Eirini Spyropoulou

Cedric Mesnage

Jefrey Lijffijt

Raul Santos-Rodriguez

Matt McVicar

Tijl De Bie

FIIP: From Frequent Itemsets to Informative Patterns