Max Kelsen

08/03/2023

We are all responsible for accelerating equality for women - women's rights are fundamentally human rights.

Max Kelsen's individual talent and collective genius sets us apart and we are proud to have women making up almost 30% of our total team and over 50% of our leadership roles.

The theme for International Women's Day 2023 is . Embracing equity means embracing diversity and inclusion, celebrating difference, and helping to drive success for all.

As an organisation we are proud of and grateful for the amazing women on the Max Kelsen team and their contributions, not just on International Women's Day, but every day.

18/01/2023

Big shout-out to one of our amazing Machine Learning Crew Leads Holly, who was featured in the Australian Financial Review today discussing diversity in tech.

The fastest-growing job titles over the past five years are in male dominated sectors, new data from LinkedIn shows.

09/08/2022

It's Ekka time in Brisbane, and everybody knows that the Strawberry Sundae stand is one of the main attractions 🍓🍦What you may not know is that the strawberry sundaes are sold in support of The Common Good Au and their life-changing medical research.

Max Kelsen team members get two days of paid charity leave each year to volunteer, whether that is donating plasma for Australian Red Cross Lifeblood, slinging sundaes for medical research at the Ekka, or another cause close to their heart ❤️

A massive shout out to Daisy and Zachary for putting in a shift yesterday in support of The Common Good and medical research at The Prince Charles Hospital 🙌

15/06/2022

Very proud to announce that Max Kelsen has been named a Google Cloud Customer Award Winner for Healthcare & Life Sciences! 🎉 This award recognises the outstanding success of our innovative SAVI product in 2021.

Our SAVI platform uses AI to identify and catalogue surgical instruments, leading to fewer cancelled surgeries, easing pressure on surgery waitlists and driving better patient safety.

SAVI has been validated as having an impressive 1 in 10,000 error rate in the real world, making it far more accurate and almost twice as fast as humans at completing the same task.

Congratulations to the entire Max Kelsen team on this incredible result, and many thanks to Google Cloud and Johnson & Johnson for their support!

20/05/2022

Coverage of our upcoming COVID-19 collaboration with Professor Sudha Rao from QIMR Berghofer Medical Research Institute, which will combine genetic research with artificial intelligence to determine whether individual patients will experience severe effects of the disease.

Researchers will use machine learning to develop a tool to predict whether someone will develop severe COVID-19 symptoms, to help manage the disease into the future.

08/03/2022

On International Women's Day 2022 we are extremely proud to recognise the amazing contributions of all the women on the Max Kelsen team.

Thank you to the Tech Council of Australia for sharing the story of Holly, one of our Machine Learning Crew Leads, and a key contributor to our continuing growth and success in the Digital Health space.

We would like to take this opportunity to recognise all of the women on the MK team, as well as the women who we work with each day as our valued partners, customers and clients.

Technology enables almost everything we touch. From healthcare to making your resume look beautiful and getting the latest fashions delivered to your doorstep.

14/01/2022

Somehow amidst the chaos of 2021 coming to a close we missed announcing that we made the Financial Review Fast 100 List of fastest growing companies in Australia!

Max Kelsen was previously recognised in the 2018 AFR Fast Starters List for young companies, so it is fantastic to graduate to the 2021 AFR Fast 100 List in 77th place alongside other Australian success stories like Culture Amp, Redbubble and Airtasker.

Our thanks go out to the entire Max Kelsen team, as well as to our valued customers and partners.

The full 2021 AFR Fast 100 List, presented by Pemba Capital Partners and KPMG Australia can be found here:

Grow Finance, founded by Greg Woszczalski, leads the list of Fast 100 companies in Australia.

01/12/2021

A fantastic TEDx talk from Dr. Navid Toosi Saidy, our Digital Health Lead, outlining some of the incredible AI-based healthcare solutions the Max Kelsen team has developed.

Many thanks to QUT (Queensland University of Technology) for hosting this event.

Artificial intelligence has the ability to revolutionise and personalise targeted healthcare for individual patients. The regulatory frameworks for AI in he...

10/11/2021

Yousef, one of our amazing ML Engineers, is a big fan of solving challenges in data science via Kaggle competitions. Recently, he was part of a team that ranked in the top 1.3% worldwide using AI to detect COVID-19 from chest radiographs.

Yousef has written a comprehensive article published recently in Towards AI, full of insights into how the team approached the challenge from a technical perspective, what worked, and what didn't.

Take a look at the full article here:

Insights from a Kaggle team that ranked in the top 1.3% worldwide

17/09/2021

We're growing fast and looking to fill HEAPS of new roles. We are industry leaders in artificial intelligence – come and work on cutting-edge projects that actually make a difference in the world with an expert team.

Check out the roles or submit an application here:
https://maxkelsen.bamboohr.com/jobs/

13/09/2021

Last week the MK team donated blood at Australian Red Cross Lifeblood.

Our team's donations will save up to 27 lives. Blood and plasma products are used to help Australians from all walks of life including those affected by heart, stomach and kidney diseases, cancer and blood diseases, anaemia, as well as by pregnant women, new mothers and young children.

All team members at MK get two days of paid charity and volunteering leave each year to use for initiatives like this, and we will be donating regularly in future to save more lives.

07/07/2021

Our Research Lab has developed a machine learning model that can rapidly detect glaucoma based off medical images, with an error rate less than half that of human doctors.

A machine learning program can now detect glaucoma, leading to the discovery of 100 new genes linked to the condition.