
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
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Journals
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 Part Time Mr Christopher Sam De Ieso
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