We are a multi-disciplinary team of clinicians, scientists and engineers focused on transforming pregnancy monitoring. We are developing technology that will provide greater ease and access to pregnancy monitoring services for all women.
Emerson is an electrical engineer with extensive experience in internet of things (IoT) hardware development and medical software design. He completed a PhD on wearable technology for pregnancy monitoring, and has published over 35 peer-reviewed articles on pregnancy analytics alongside presenting his work at both national and international conferences.
Fiona is a clinician scientist at the University of Melbourne, and obstetrician at the Mercy Hospital for Women and Epworth Freemasons. She has published over 50 scientific papers, presented her work at international conferences and obtained numerous government and philanthropic grants.
Marimuthu is a Professor at the University of Melbourne, specialising in biomedical signal processing, artificial intelligence (AI), and the Internet of Things (IoT). He has published over 500 peer-reviewed articles across these fields, with a specific passion for fetal medicine.
Jessica is a project manager and mechanical engineer specializing in medical device product development. She excels at using agile project management to lead cross-functional teams, ensuring operational excellence and a deep understanding of the product development lifecycle to bring devices to market.
Connie is a Biomedical Engineer and Melbourne BioDesign alumna with experience in product development, quality assurance, and regulatory affairs in the medical device industry. She is dedicated to advancing innovative healthcare technologies that enhance patient outcomes and support clinical practice.
Vida is an experienced Clinical Research Scientist with a PhD in Neuroscience, an MSc in Medical Physiology, and a BSc in Microbiology. She brings over a decade of expertise in clinical operations leadership, translational research, and research commercialization, leveraging her deep scientific background to drive innovation and bridge the gap between research and clinical application.
Lochana is an electronics engineer who recently submitted his PhD specializing in leveraging deep learning to extract insights from healthcare time series data. His research focuses on developing advanced AI-driven methodologies to enhance predictive modeling and decision-making in fetal monitoring and their implementation in IoT settings.
Copyright © 2023 Kali Healthcare Pty Ltd (ACN 641 190 570)