Dr Andy Timmins

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

✓ Eligible to supervise Masters and PhD (as Co-Supervisor) — email supervisor to discuss availability.

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

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

Journals

Year	Citation
2016	Mahjourimajd, S., Taylor, J., Sznajder, B., Timmins, A., Shahinnia, F., Rengel, Z., . . . Langridge, P. (2016). Genetic basis for variation in wheat grain yield in response to varying nitrogen application. PLoS ONE, 11(7), 1-18. DOI Scopus3 WoS2 Europe PMC2
2016	Shirdelmoghanloo, H., Taylor, J., Lohraseb, I., Rabie, H., Brien, C., Timmins, A., . . . Collins, N. (2016). A QTL on the short arm of wheat (Triticum aestivum L.) chromosome 3B affects the stability of grain weight in plants exposed to a brief heat shock early in grain filling. BMC Plant Biology, 16(1), 100-1-100-15. DOI Scopus10 WoS10 Europe PMC3
2015	Nguyen, V., Fleury, D., Timmins, A., Laga, H., Hayden, M., Mather, D., & Okada, T. (2015). Addition of rye chromosome 4R to wheat increases anther length and pollen grain number. Theoretical and Applied Genetics, 128(5), 953-964. DOI Scopus10 WoS10 Europe PMC6
1992	Timmins, W., & Reynolds, S. (1992). Azadirachtin inhibits secretion of trypsin in midgut of Manduca sexta caterpillars: reduced growth due to impaired protein digestion. Entomologia Experimentalis et Applicata, 63(1), 47-54. DOI
1992	Timmins, W., & Reynolds, S. (1992). Physiological mechanisms underlying the control of meal size in Manduca sexta larvae. Physiological Entomology, 17(1), 81-89. DOI
1988	Timmins, W., Bellward, K., Stamp, A., & Reynolds, S. (1988). Food intake, conversion efficiency, and feeding behaviour of tobacco hornworm caterpillars given artificial diet of varying nutrient and water content. Physiological Entomology, 13(3), 303-314. DOI
1986	Reynolds, S., Yeomans, M., & Timmins, W. (1986). The feeding behaviour of caterpillars (Manduca sexta) on tobacco and on artificial diet. Physiological Entomology, 11(1), 39-51. DOI

2016 - 2017

Amazon Web Services Cloud Computing Grant $40K

2017-2018

Microsoft Cloud Computing Grant $5K

N/A

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

andy.timmins@adelaide.edu.au

Campus

Waite

Building

Waite Building, floor 2

Org Unit

Australian Centre for Plant Functional Genomics (ACPFG)

Dr Andy Timmins

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Dr Andy Timmins