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Contact

Language Skills

R
C
Python
SQL

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Made with the R packages pagedown and datadrivencv.

The source code is available on github.com/eugene100hickey/cv.

Last updated on 2021-01-21.

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Eugene Hickey

I specialise in applying modern technologies to enhance the student experience. Along with colleagues in the City campus and Blanchardstown, I am involved in the DIFTU project on learner analytics, studying the evolving digital landscape in higher education. I collaborate with both national and international institutions, in both industry and education, giving me a unique insight into best practice in student formation.

Education

PhD

Laboratoire de Chimie de Solide

Universite de Bordeaux I

1992 - 1988

  • Heavy Fermion Intermetallics
  • Distinction

DEA (MSc)

Laboratoire de Chimie de Solide

Universite de Bordeaux I

1988 - 1987

  • URu2Si2 and UIr2Si2 intermetallic Properties
  • Distinction

B.Sc (hons)

Physics Department

Trinity College Dublin

1987 - 1982

  • Undergraduate qualification in experimental physics
  • II2 award

Research Experience

Postgraduate Supervisor

Centre of Applied Science for Health

Technological University Dublin

present - 2018

  • Investigating the role of schizophrenia
  • associated gene expression in the developing human brain using Machine Learning

Postgraduate Supervisor

Department of Applied Science

Technological University Dublin

present - 2017

  • Regression Studies to Predict Correlation of SDSS SEGUE Spectra
  • Uses broadband stellar magnitudes to predict similarity of stellar spectra and thus appropriateness for differential photometry

Postgraduate Supervisor

Department of Applied Science

Institute of Technology Tallaght, Dublin

2017 - 2015

  • A Survey of the Public Perception of Science in Ireland
  • Collected a survey with over 800 responses and performed statistical analysis of the results

Postgraduate Supervisor

Department of Applied Science

Institute of Technology Tallaght, Dublin

2017 - 2007

  • Data Mining by Grid Computing in the Search for Extrasolar Planets
  • Grid analysis of the SDSS catalogue in search of exceptional candidates for differential photometry

Research Funding

IMPACT Award

Department of Applied Science

Technological University Dublin

2021 - 2020

  • Data Insights for TU Dublin (DIFTU)
  • Project to will inform how technology should be mainstreamed across TU Dublin to support a consistent student experience that adheres to the principles of TU Dublin’s educational model.

Presidents Research Award

Department of Applied Science

Technological University Dublin

2020 - 2018

  • Schizophrenia Analysis using Machine Learning on Gene Expression Data from the Allen Brain Atlas
  • 24 month masters project

ICHEC Project

Department of Applied Science

Technological University Dublin

2020 - 2018

  • Schizophrenia Analysis using Gene Expression Data from the Allen Brain Atlas
  • 12 month access to computer system

Grid Ireland

Department of Applied Science

Institute of Technology Tallaght, Dublin

2017 - 2007

  • Installation of Grid mini
  • gateway

Presidents Research Award

Department of Applied Science

Institute of Technology Tallaght, Dublin

2016 - 2014

  • A Survey of the Public Perception of Science in Ireland
  • 24 month masters project

PhD Continuation Fund

Department of Applied Science

Institute of Technology Tallaght, Dublin

2011 - 2009

  • Data Mining by Grid Computing in the Search for Extrasolar Planets
  • 18 month PhD continuation fund

HEA Strand 1 Research Grant

Department of Applied Science

Institute of Technology Tallaght, Dublin

2009 - 2007

  • Data Mining by Grid Computing in the Search for Extrasolar Planets
  • 24 month masters project

National Centre for Plasma Science and Technology

Department of Applied Science

Institute of Technology Tallaght, Dublin

2007 - 2002

  • Member of management team
  • Representative fromTallaght on 8 person board

Erasmus Award

Laboratoire de Chimie de Solide

Universite de Bordeaux I

1992 - 1988

  • Doctoral Research Funding

Industry Experience

I have worked in a hospital environment and have maintained collaborations that have led to fruitful research work since. The main focus has been on medical imaging and diagnostics.

Medical Physicist

Department of Medical Physics

St James’s Hospital

1994 - 1992

  • Teleradiology
  • Transferring CT, MRI, US and digitised X-rays between St James’s and Beaumont Hospitals




Teaching Experience

My experience in education spans teaching at undergraduate level, on postgraduate modules and supervision, and on industry led courses. I place particular emphasis on using technology to enhance the learning experience.

Lecturer in Physics

Department of Applied Science, Tallaght Campus

Technological University Dublin

present - 1995

  • Teaching on Pharmaceutical Science, Forensics, Sports Science, and Bioanalysis undergraduate courses
  • Emphasis on supervising final year projects in Pharmaeutical Science

Data Visualisation with ggplot

Taught Postgraduate Modules

Technological University Dublin

present - 2018

  • Module design and delivery
  • Topics covered from essential ggplot to maps and networks

Final Year Projects

Pharmaceutical Science Honours Degree

Technological University Dublin

present - 2015

  • Investigation of Clinical Trials Data using the PharmcoGx Bioconductor Package (2020)
  • Single Cell RNASeq Analysis of Transciptomic Data using the scrattch Package (2020)
  • Epidemiology of Tuberculosis and HIV in Africa (2019)
  • Investigation of Autism Genes by Examining Gene Expression Across Different Areas of Healthy Brains (2018)
  • Machine Learning Analysis of the Wisconsin Breast Cancer Dataset (2018)
  • Classification of Acute Lymphoblastic Leukemia based on Gene Expression Profiles (2017)

Lecturer in Physics

Department of Computing and Science

Waterford Institute of Technology

1995 - 1994

  • Teaching Physics modules to undergraduates in science, engineering, and computing
  • Development of a new course in materials science

Selected Data Science Writing

I regularly blog about data science and visualization. I enjoy connecting with diverse topics in this way.

Meteors, and Where to Find Them1

N/A

N/A

2018

  • Using data from NASA’s meteorite database to explore their nature and locations
  • Lots of data visualisation including interactive leaflet maps.

Tennis Sets, Jimmy’s Theorem2

N/A

N/A

2018

  • Statistical analysis of set scores from ATP matches
  • Demonstrated visualization

Selected Publications

I have 13 publications in international peer reviewed journals.

My h-index is 6 and my ORCID is 0000-0001-9813-93233

A Catalogue of Locus Algorithm Pointings for Optimal Differential Photometry for 23,779 Quasars4

Monthly Notices of the Royal Astronomical Society

N/A

2020

  • Authored with Oisin Creaner, Kevin Nolan, Niall Smith, and David Grennan.

The Locus Algorithm I: A technique for identifying optimised pointings for differential photometry5

Astronomy & Computing

N/A

2020

  • Authored with Oisin Creaner, Kevin Nolan, and Niall Smith.

The Locus Algorithm II: A robust software system to maximise the quality of fields of view for Differential Photometry6

Astronomy & Computing

N/A

2020

  • Authored with Oisin Creaner and Kevin Nolan.

Specification and initial evaluation of a multiple application teleradiology system7

British Journal of Radiology

N/A

1995

  • Authored with N O’Hare, F Wallis, JMT Kennedy, GJ McDermott, A Dowling, J Murphy, and J Malone.

Magnetic phase diagram of U2{Ru1xRhx}3Si58

Journal of Magnetism and Magnetic Materials 69

N/A

1995

  • Authored with B Chevalier, T Roisnel, L Piraux, and J Etourneau.

Selected Presentations

NHSr Community 2020 Conference9

The Power of Data Visualisations

N/A

2020

TUD Scientific Computing Group10

TUD Workshop on Physical and Data Sciences in Health and Environment

N/A

2019

Use Open Source Software11

TEDx Ballyroan

N/A

2019

Grid computing based data mining of the Sloan Digital Sky Survey12

Royal Irish Academy

N/A

2011