Andy Timmins

Dr Andy Timmins

School of Agriculture, Food and Wine

Faculty of Sciences

Academic Qualifications:
1. B.Sc. Biology (Imperial College, London)
2. M.Sc. Computing Science (Imperial College, London)
3. Ph.D. Crop Protection (University Of Bath)

Academic Positions:
Higher Research Officer
Post-Docs (x3)

Industry Experience:
I have worked in the commercial I.T. industry for roughly 15 years

Research Interests:
High Performance Computing
Genomics
Statistical Modelling
Machine Learning

  • Database design and administration. 
  • Expertise in the development of bioinformatics pipelines for the analysis of plant DNA sequences.
  • Scientific computing for molecular marker development and linkage mapping.
  • Comparison and bench-marking of high performance linear mixed models.
  • Machine learning methodologies using high performance cloud computing platforms

 

 

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  • Appointments
    Date Position Institution name
    2016 Post-Doc University of Adelaide, Adelaide
    2012 - 2015 Post-Doc University of Adelaide, Adelaide
    2005 - 2011 Project-Officer (part-time/casual) Geelong City Council
    2000 - 2010 Part-time Farmer Self-employed
    1990 - 1998 I.T. Consultant Self-employed
    1989 - 1990 Post-Doc John Innes Centre (BBSRC), Norwich
    1984 - 1985 Research Officer Cancer Research UK (CRUK), London
    1984 - 1985 Secondary School Teacher (Science Rokeby School

  • Language Competencies
    Language Competency
    English Can peer review

  • Education
    Date Institution name Country Title
    1988 - 1988 Imperial College London, London United Kingdom M.Sc. Computing Science
    1984 - 1987 University of Bath, Bath United Kingdom Ph.D.
    1980 - 1983 Imperial College London, London United Kingdom B.Sc. Biology

  • Certifications
    Date Title Institution name Country
    0 Administering Microsoft SQL Server 2012 Jump Start Micorosft Virtual Academy —
    0 Windows Azure Security Overview Micorosft Virtual Academy —
    0 Hadoop and the Amazon Cloud IBM —
    0 Big Data Analytics Micorosft Virtual Academy —
    0 An introduction to High Performance Computing and eResearch SA —
    0 R Programming DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH —
    0 Practical Machine Learning DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH —
    0 Network Analysis in Systems Biology ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI —
    0 The Data Scientist’s Toolbox DEPARTMENT OF BIOSTATISTICS, JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH —
    0 Introduction To Windows Azure Training Micorosft Virtual Academy —
    0 Big Data Analytics Micorosft Virtual Academy —
    0 Introduction to Microsoft SQL Azure Micorosft Virtual Academy —
    0 Implementing a Data Warehouse with SQL Server Jump Micorosft Virtual Academy —
    0 HTML5 & CSS3 Fundamentals: Development for Absolut Micorosft Virtual Academy —
    0 Developing Windows Azure and Web Services Jump Sta Micorosft Virtual Academy —
    0 Developing in HTML5 with JavaScript and CSS3 Jump Micorosft Virtual Academy —
    0 Developing ASP.NET MVC 4 Web Applications Jump Sta Micorosft Virtual Academy —
    0 C# Fundamentals: Development for Absolute Beginner Micorosft Virtual Academy —
    0 Building Web Apps with ASP.NET Jump Start Micorosft Virtual Academy —
    0 Hadoop Fundamentals I IBM —

  • Research Interests
    Agricultural Systems Analysis and Modelling Applied Statistics Bioinformatics Distributed Computing Genomics Information and Computing Sciences Knowledge Representation and Machine Learning

2016 - 2017

Amazon Web Services Cloud Computing Grant $40K

2017-2018

Microsoft Cloud Computing Grant $5K

N/A

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  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2017 Co-Supervisor Feasibility Study for Ranked Set Sampling in Typical Modern Agronomy Trials nder Different Designs Master of Philosophy Master Full Time Mr Peter Josef Kasprzak
    2017 Co-Supervisor Examining the Efficiency and Voracity of Big Data in Precision Horticultural Production Doctor of Philosophy Doctorate Full Time Mr Christopher Sam De Ieso
  • Phone: 0456137251
  • Email: andy.timmins@adelaide.edu.au
  • Campus: Waite
  • Building: Waite, floor 2
  • Org Unit: Australian Centre for Plant Functional Genomics (ACPFG)
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