Merge branch 'staging'

content/news/2023-07-17-nokome-bentley/content.md

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+---
+title: Kindred spirit joins our team 
+---
+
+Nokome Bentley joined Dragonfly as a principal data scientist earlier this
+month. He has many years of experience in fisheries science, data analysis and
+software engineering.
+
+<!--more-->
+
+“I’ve crossed paths with Dragonfly many times over the past two decades – as a
+client, a collaborator, and sometimes a competitor. We share many of the same
+values including fostering openness and reproducibility in data science.”
+
+Nokome began his career by studying marine biology at James Cook University in
+Queensland. He worked in seagrass and abalone research in Western Australia and
+New South Wales, and later moved to Tasmania to study fisheries science. While
+living there, a growing interest in the outdoors sparked an ambition to one day
+live in New Zealand.
+
+“I was passionate about fish, fishing and all things marine as a kid. So it was
+a natural step to study marine biology and fisheries science. But during my
+study, and on into my working career, I became more and more interested in fish
+population dynamics, statistical modelling, and computer programming.”
+
+In 1996, Nokome founded Trophia, a fisheries research company. He worked on
+fisheries data analysis, modelling and stock assessment of many species for 20
+years including New Zealand rock lobster and Indian Ocean tuna.
+
+“As a quantitative fisheries scientist I was increasingly exposed to software
+engineering and I saw that we could be doing things better – in science
+generally and in fisheries science in particular. Like Dragonfly, I thought
+that applying modern software engineering practices to that work would be
+beneficial more broadly.”
+
+That led to Nokome founding [Stencila](https://stencila.io), a company developing software for
+authoring, collaborating on, and publishing reproducible research. He is
+continuing to work on Stencila and hopes he and others at Dragonfly can make
+use of it in their work.
+
+Nokome works for Dragonfly part-time and currently splits his time between
+Kaikōura and Wānaka. He spends time in the Wellington office each month.
+
+“One of the big attractions of Dragonfly is being part of a smart, diverse team
+doing interesting and innovative work in a variety of domains. I’m already
+really enjoying being exposed to all the different projects going on.”
+
+Nokome is interested in a diversity of subjects, and says he wants to use his
+skills in ways that are most useful to our clients.
+
+“Any job is interesting if you are able to continue to learn. So the
+opportunity to learn about new domains and work out how best to apply my skills
+to them is very appealing.”
+
+---
+More information  
+
+* [Nokome's profile page](/people/bentley-nokome.html).
+
+
+
+
+

content/people/bentley-nokome/content.md

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+---
+email: nokome@dragonfly.co.nz
+firstname: Nokome
+lastname: Bentley
+role: Principal Data Scientist
+tag: nokome
+title: Nokome Bentley
+banner: bentley-nokome/nokome-bentley.jpg
+nocite: |
+---
+Nokome is a principal data scientist with expertise in data visualisation,
+statistical modelling and software engineering. 
+
+
+<!--more-->
+
+Before joining Dragonfly he worked as an independent fisheries modeller at
+Trophia, which he founded in 1996. He also researched seagrass and abalone
+ecology in Australia. 
+
+He founded [Stencila](https://stencila.io/) in 2012, because of an ongoing interest in
+software to make computationally intensive research easier and more efficient.
+He remains its CEO. 
+
+Nokome is interested in exploring and understanding large data sets. He values
+the opportunity to communicate his findings and enable clients to explore data
+using elegant visualisations.
+
+Nokome has a bachelor of science degree in marine biology from James Cook
+University in Queensland and a postgraduate diploma in fisheries science and
+management at the Australian Maritime College, University of Tasmania. 
+
+> I really like creating models of varied biological, economic and social
+> systems, fitting them to real-world data – then we can use them to help inform
+> real-world decision making.
+
+
+
+
+