Supporting women from culturally and linguistically diverse backgrounds to excel in STEM careers
Our 1-day career development program is specifically tailored to provide women from culturally and linguistically diverse backgrounds at any life or career stage with the skills, mindset and community network they need to tailor their approach to relationship building, networking and personal branding in a way that leverages their strengths and aligns with their career ambitions or personal goals.
Learn from and interact with industry thought-leaders and CALD women across STEM to expand your network and gain practical insights you can apply to empower yourself to create opportunities for career progression, advancing into leadership or fulfilling personal goals.
Session One: Cultivating Success: Fostering Progress for CALD Women in the Tech Workforce
Presented by Claudia de Vry - Halcyon Knights
This Session:
Session Two: Skillful Networking & Personal Profiling
Presented by Sarah Yip – Leaders Lounge
This session will be an immersive opportunity for participants to learn and hone the invaluable skill of effective networking and understand the power of profiling yourself for success. The session will:
Session Three: CALD Women in Action panel discussion – Panel facilitated by Professor Chamindie Punyadeera
Professor Chamindie Punyadeera is an inventor and a leader in women in STEMM. She has had a hybrid research career working in industry as well as academia. She has worked at Philips Electronics in the Netherlands and has been instrumental in developing Philips Mini-care I-20 for cardiac disease detection. She has also contributed to development of an integrated platform to detect nucleic acids (Idylla TM) commercialised by Biocartis NV (Belgium) and is a globally acknowledged pioneer in salivary diagnostics. She leads a world-class saliva and liquid biopsy research laboratory in Australia, > 14 researchers focusing on developing novel salivary technologies to detect heart disease and application of liquid biopsy to accelerate precision treatment in cancers.
Dr. Marie-Luise Wille received the BSc and MSc degrees in physics from the University of Basel, Switzerland, and the PhD degree in medical physics from the Queensland University of Technology (QUT), Brisbane, Australia. She is a senior research fellow in the Centre for Biomedical Technologies (CBT) and the Max Planck Centre Queensland at QUT. Since 2019 she is also the Deputy Director of the ARC Training Centre in Multiscale 3D Imaging, Modelling, and Manufacturing, a training centre for students and early career researchers to be industry 4.0 ready. Her research interests are within the inter- and multidisciplinary field of biomedical engineering and medical physics, where she applies 3D imaging and modelling techniques to tissue engineering application, such as biodegradable implant designs for bone regeneration. She has a strong research focus on optimising the bench-to-bedside workflow with the help of enabling technologies and combining medical imaging, 3D modelling and 3D printing. In early 2022, she was awarded the REDI Fellowship and is currently working together with the global MedTech company Stryker to improve the workflow from patient images to patient specific implants. She was also the winner of the 2022 WiT Rising Star Science Award and the CBT Emerging Researcher Award and is Chief Investigator on two 2022 awarded ARC Discovery Projects. Her biggest reward in 2022 was, however, welcoming her second daughter Ella.
Edie Kazingizi is a business analysis consultant and skilled communicator with the ability to build rapport through empathetic listening to understand a problem. Edie harnesses skills gained through her multicultural background and years as an expatriate to bring diversity of thought and experience on information technology projects. She thrives in environments working as part of the collective to address business challenges and present solutions that drive quality outcomes when leveraging information technology assets.
Thank you to our event sponsors: