Dynamic and highly motivated, I thrive on solving real world and scientific problems. It’s what I’ve been doing my entire career. I’m naturally drawn to creatives, grassroots movements, products, and ideas that challenge the status quo. I have a penchant for creating high-value, high-impact products with limited resources and I take inspiration from everything and everyone; from the everyday heroes, the artists and scientists and philosophers (… and lions and tigers and bears, oh my!), to innovators and social entrepreneurs, to the brilliant engineers creating disruptive and catalysing technologies, to the game changing humans solving global development challenges.
Throughout my career I’ve been fortunate to work on a number of ground-breaking, innovative projects around the world and had the privilege of working with exceptionally talented and passionate people; from academia, to non-profits and social enterprises, to tech tech startups. For a long time I hung out in universities and at telescopes and stared at the stars. I moved back to Australia at a time when Melbourne's tech industry began thriving, and it's been really exciting to see how it's grown. As far as careers go, there is nothing more satisfying than working with amazingly talented people. I try to work on as many collaborative projects as possible, and take pride in my strong interpersonal skills and what I’ve been able to give back from having such a diverse career. I wear many hats and straddle many boxes, and hope that these experiences will one day enable me to solve any and all problems thrown at me.
The idea of combining data, design, and machine learning to build intelligent products and services to improve people’s lives excites me most these days. I’m currently pursuing interesting data science roles, with a splash of human-centred design thrown in for good measure.
Why? The most ambiguous problems are arguably the most interesting, and it helps if you’re comfortable with that. Human–centred design focuses very much on understanding the problems people face and by extension their businesses, and dealing ambiguity while you figure out exactly what the problem is; why you’re doing it, and who you’re doing for. Most data has very little meaning, until you understand its context; how it was created, why it was collected. While “data-driven discovery” is appealing it’s hard without a well thought out strategy and/or a tonne of data behind it. Even in astronomy data-driven discoveries have almost always been serendipitous.
My advice? Science the shit out of your data.
Work on problems that matter. Learn to ask the right questions; to different types of people, and in many different ways. Be as creative as you can. Learn how to prototype solutions quickly. Develop metrics that tell you that you’re on the right track. Better still, show people. Building fast doesn’t mean sacrificing quality. Question your assumptions – constantly. Question others assumptions. Co-create if you can. Iterate, iterate, iterate. You’re never going to get it right the first time around. Understand the systematics and biases in your data. Understand your own personal biases – they affect you choices and can influence others. If you don’t think you have any, look harder. You will find them. Learn as much as you can from designers, business analysts, product managers, and software engineers. Be ethical. Advocate for responsible AI.
You can find me on Twitter – if I could speak in hashtags I would.
My academic research, strategy projects, data science & creative coding projects can be found on this website, as well an assortment of social impact and design projects. A few of these things can also be found on GitHub. Some talks can be found on Speaker Deck. Publications can be found on on ADS and Google Scholar. I also keep a blog called Chasing Telescopes where I write about projects & collaborations, people & places, data science & design, research discoveries, astronomy & telescopes, emerging tech, planet earth, and anything else that takes my fancy.