We are a network of academic specialists at the forefront of data science. We bring cutting-edge analytic methods straight to industry. We are accredited scientists and we have a focus on customer outcome. We know how to deal with the bottleneck of big data and deliver actionable insights to help you sharpen your edge.
Data and digital information now generate more economic value than the entire global goods trade. We see the incredible potential and opportunity of building bridges between research and industry to generate value from this growing wellspring. We deliver cutting-edge academic data science solutions to help our clients build a competitive and strategic advantage. We use mathematics, statistics and computer science to transform data into usable knowledge and decision-making insight. We help you collect data, extract useful information from your databases and replace guessing with accurate predictions leading to informed real world business decisions. We deliver actionable insights to your organization through data visualization, statistical inference, predictive modeling, machine learning and a wide range of data science techniques.
Davide is an academic data scientist with a PhD in mathematical statistics and is currently a Senior Lecturer in the School of Mathematics and Statistics at the University of Melbourne and an Associate Research Fellow at the ARC Centre of Excellence for Mathematical and Statistical Frontiers. He has published in top journals for statistics, data analytics and computational statistics. He has a long history of consulting with industry on projects at the international level and has worked with companies in the US, Europe and Australia.
More recently Davide has been working on developing new statistical and machine learning methods for big data problems in the context of complex biological, environmental and financial data problems. He is passionate about bringing academic research straight to industry. He is a leading expert in the field of modeling extreme events and outliers, assessing their frequency, magnitude and potential impact.
Before his academic career Davide raced across Europe as a semi-professional road and off-road cyclist. He recently resumed racing at a more relaxed level here in Melbourne. He thinks his next contribution to the sport will be developing a new data-driven method to detect doping related frauds in professional cycling.
Tané is a cancer researcher, bioinformatician, and science communicator. Tané is best known for his public speaking and consulting as co-founder of Future Crunch, a think tank designed to foster intelligent, optimistic thinking about the future, and to empower people to contribute to it. His day job is working with big data in the biological realm using machine learning to determine what is causing a particular cancer and identify ways to fight it with cutting-edge clinical therapies.
In 2004 Tane won a US national mountain biking title and was heading for a career as a professional cyclist. Unfortunately, an injury in 2006 brought his cycling career to an end and he refocused on science, statistics, and viticulture.
Tané’s interest in medical genomics, big data, and evolutionary biology eventually led him to the University of Melbourne where he completed a Masters in Bioinformatics in 2013. He has worked for the Royal Children’s Hospital diagnosing rare genetic diseases in children and is currently completing his PhD at the Peter MacCallum Cancer Centre in Melbourne, using molecular biomarkers and bioinformatics to better understand, diagnose and improve treatment for people suffering from cancer. He is also an avid sailor, and participates in races around the world.
The co-founders' relationship started out as professor-student several years ago. Tané later worked for Davide on a grant project that culminated in a published paper in a leading computational statistics journal. They both had major accomplishments in bike racing at a young age. The focus and drive to perform at that level in a sport has helped them develop an ability to drill down, focus and persevere in pursuing solutions to difficult complex problems. They are both hopeless foodies and enjoy riding together and discussing the future of big data analytics, machine learning and how to breakdown the silos between academia and research. They are passionate about creating data driven solutions to build a better future.