Marina Rose Geldard, more commonly known as Mars, is a Software Engineer and Data Scientist from Down Under in Tasmania. Entering the world of technology relatively late as a mature-aged student, she has found her place in the world: an industry where she can apply her lifelong love of mathematics and optimisation.

When she is not busy being the most annoyingly eager PhD candidate ever at the University of Tasmania (UTAS)--investigating the use of Machine Learning to improve Space Situational Awareness--she compulsively volunteers at industry events, tutors, hikes around in the wilderness, dabbles in research, builds Game of Thrones in Minecraft and serves on the national Executive Council of the AUC. In the time she has left she wrote a book.

Note: none upcoming, including some cancellations of already scheduled events, due to COVID

• Software Architecture Conference New York 2020 (Speaker)
• The Swift Alps 2019 (Mentor)
• Software Architecture Conference Berlin 2019 (Speaker and Workshop Presenter)
• TensorFlow World 2019 (Speaker)
• Artificial Intelligence Conference San Jose 2019 (Speaker)
• NZGDC 2019 (Speaker)
• AWS Community Day 2019 (Speaker)
• PyCon Australia 2019 (Speaker)
• O'Reilly Open Source Conference Portland 2019 (Workshop Presenter)
• Strata Data Conference London 2019 (Speaker)
• Artificial Intelligence Conference New York 2019 (Speaker)
• Reinforce AI Conference Budapest 2019 (Speaker)
• Software Architecture Conference New York 2019 (Speaker)
• CreateWorld Conference 2018 (Speaker)
• Artificial Intelligence Conference San Francisco 2018 (Speaker)
• /dev/world Developer Conference 2018 (Speaker)
• O'Reilly Open Source Conference Portland 2018 (Speaker)

• Created and commenced PhD on CSIRO Data61-UTAS project, targeting strategies to enable orbital debris mitigation (2020)
• Signed on with O'Reilly Media to write Practical Simulations for Machine Learning (2020, for release in late 2021/early 2022)
• Completed Honours degree with First Class Honours and a perfect GPA, was awarded a University Medal, and was admitted to the Dean's Honour Roll again (2019)
• Named ICT Student of the Year in the ACS Digital Disruptor Awards (2019)
• Invited to be a reviewer and praise quote provider for Erica Sadun's Swift Style, second edition (2019)
• Awarded The University Club Tasmania Honours Scholarship (2019)
• Nominated to national Executive Council for the AUC (2019)
• Completed undergraduate degree with a perfect GPA, was admitted to the Dean's Honour Roll (2018)
• Employed as a research assistant/developer on key machine learning project for public safety under the University of Tasmania's Data, Knowledge and Decisions research theme (2018)
• Signed on with O'Reilly Media to write Practical Artificial Intelligence with Swift (2018, released 2019)
• Awarded WWDC Scholarship for the submission ProTeGen, a Swift Playground Book that teaches simple procedural terrain generation (2018)
• Awarded AUC Travel Support Scholarship for WWDC Attendance (2018)
• Worked on final-year university software project with Savage, the creators of multi-award winning app Procreate (2018)
• Employed as a tutor of first-year University of Tasmania Artificial Intelligence course, later also Introduction to Data Science (2018)
• Nominated to state Branch Executive Committee for the ACS in Tasmania (2018)
• Awarded the M.J. Rees Prize for First Year Information Systems Academic Award (2017)
• Awarded GovHack prizes for Best Use of Tasmanian Historical Data, Best Data Visualisation, Excellence in Visual Design and the Digital Learning Hack Award (2017)
• Invited to, and joined, the Golden Key International Honour Society (2017)
• Lost almost 60kg once (2016-)