Joel Peter William Pitt

Joel is a multidisciplinary scientist who has contributed to work in bioinformatics, artificial intelligence, and ecology. His recently completed Ph.D. (Lincoln University, New Zealand) involved the development of a spatially explicit stochastic simulation model for investigating large-scale spread of invasive species across real landscapes. Joel obtained his B.Sc. with first class Honours from the University of Canterbury where he majored in computational biology and artificial intelligence. During his study he also facilitated the research of several colleagues by applying artificial neural network categorisation and classication to ecological data, and by developing novel search algorithms for micro-satellite DNA sequences.

In 2008, Joel started contract research and development on the OpenCog open source AGI platform for The Singularity Institute for Artificial Intelligence. He also does contract ecological simulation work for a government research institute in New Zealand.

Tertiary Education:

2004-2007 - PhD in Ecoinformatics, Lincoln University, New Zealand

2000-2003 - Bachelor of Science (First Class honours) - Major in Computer Science/Molecular Biology, The University of Canterbury, New Zealand.

Distinctions/Honours:

Highly Commended in RSNZ Emerging Scientist Poster Competition.

Australian Mathematical Sciences Institute (AMSI) Travel Scholarship for the Winter School in Mathematics and Computational Biology.

National Centre for Advanced Bio-protection Technologies PhD studentship.

Employment Record:

2008 to present - Contract work for Singularity Institute of Artificial Intelligence on the open-source integrative artificial general intelligence platform, OpenCog).

2008 to present - Contract work for AgResearch New Zealand. Modelling weed spread for the Beating Weeds FRST contract.

2003-2007 - Computational biology consultant - Implementing various automated computer systems to assist researchers at Lincoln University and The University of Canterbury.

2003 - Laboratory Researcher – DNA extraction and sequencing. Canterbury University Genetics Laboratory, headed by Neil Gemmell.

Other:

Open source projects – Joel has worked on a variety of open-source projects beyond OpenCog. These projects include several he initiated (AGISIM, Modular Dispersal in GIS, RepeatFinder) ), and others that he's made ongoing contributions to (NATOW, GRASS).

Adopt-a-scientist – Helping Year 10 and 11 school students with research projects. In 2007 Joel mentored a student on creating autonomous lego robots.

Electronic composer/DJ – Joel has DJed frequently at music festivals and now spends the little spare time he gets on creating electronic music under the alias Jetpilot (an anagram of his first and last names).

List of Publications:

a) Theses:

• Pitt, J. P. W. (2008). PhD these. Modelling the spread of invasive species across heterogeneous landscapes. Lincoln University.

• Pitt, J. P. W. (2003). Honours thesis. Feature selection applied to classification of cancerous tissue. University of Canterbury.

b) Journal articles:

• Pitt, J. P. W., S. P. Worner, and A.V. Suarez (accepted) Predicting Argentine ant spread over the heterogeneous landscape using a spatially-explicit stochastic model. Ecological Applications.

• Pitt, J. P. W., Régnière, J and S. P. Worner (2007). Risk assessment of Gypsy moth, Lymantria dispar (L), in New Zealand based on phenology modelling. Int J Biometeorol 51:295–305. DOI 10.1007/s00484-006-0066-3

• Gevrey, M., S. Worner, N. Kasabov, J. Pitt and J. Giraudel (2006). Estimating risk of events using SOM models: A case study on invasive species establishment. Ecological Modelling, Volume 197(3-4) pp 361-372

• Bagshaw, A., Pitt, J.P.W., Gemmell, N.J. (2006). Association of poly-purine/poly-pyrimidine sequences with meiotic recombination hot spots. BMC Genomics 2006, 7:179, doi:10.1186/1471-2164-7-179

• Bagshaw, A., Pitt, J.P.W., Gemmell, N.J. (2008). High frequency of microsatellites in S. cerevisiae meiotic recombination hotspots. BMC Genomics 9:49 doi:10.1186/1471-2164-9-49

c) Refereed conference proceedings:

• Worner, S. P., Watts, M., Gevrey, M. and Pitt, J. 2005. Neuro-computing methods as aids to assessing the invasion potential of alien insects. Proceedings IX InternationaL Congress of Ecology, August 7-12 2005, Montreal, Canada

• Pitt, J. P. W. (2006) Effect of raster resolution on species dispersal simulations in GIS. International Conference for Ecological Modelling, 2006 proceedings.

• Peacock, L., S. Worner, and J. Pitt (2007) The application of artificial neural networks in plant protection. Bulletin OEPP/EPPO Bulletin 37 pp 277-282. Presented at EPPO conference on Computer aids for plant protection, Wageningen, Netherlands, 17-19 October 2006.

• Pitt, J. P. W. and Worner, S. P. (2006) Overview of a large-scale model infrastructure for invasive species dispersal simulation. International Conference for Ecological Modelling, 2006 proceedings.

• Pitt, J. and Worner, S. (2007) Modelling invasive species spread with stochastic, high resolution, spatially explicit dispersal models integrated within GIS. APHIS Science Panel on Pest Risk Mapping, Fort Collins, Colorado, June 5-7 2007.

• Pitt, J. P. W. and Worner, S. (2008) Merging habitat suitability and dispersal to model the spread of an invasive insect over a heterogeneous landscape. New Zealand Entomological Society Conference 2008.

• Worner, S.P., M. J. Watts, J.P.W. Pitt and M. Gevrey (2008). Being prepared: ecological informatics and computational intelligence methods applied to invasive insect risk assessment. International Congress of Entomology July 6-12, 2008.

d) Press:

• Outlook Magazine (2006) “Centre attracts postgraduates from around the world.” Lincoln University, New Zealand.