Researcher
Malini Olivo is a Distinguished Principal Scientist at A*STAR Skin Research Labs (A*SRL) where she leads the Translational Biophotonics Laboratory. Concurrently, she is also an Adjunct Professor at the Lee Kong Chian School of Medicine, NTU; Department of Obstetrics & Gynaecology, National University Health System, NUS, Singapore; and Royal College of Surgeons Ireland, Dublin, Ireland. She obtained a PhD degree in Bio-Medical Physics in 1990 from University Malaya/University College London (UCL) and did her post-doctoral training between 1991 and 1995 at UCL, UK and both McMaster University and University of Toronto, Canada. Her current research interest is in medtech and nano-biophotonics and its applications in translational medicine. Her efforts include bridging the gap between cutting edge optical technologies and unmet clinical needs by developing in-house photonics-based devices for various industries.
She has succeeded in obtaining competitive research funding of over USD 25 million to support her research in Singapore and overseas. She has published over 500 papers, three books and 20 book chapters, and filed close to 50 patents on technology platforms and devices. She is also the co- founder of three medtech companies. Furthermore, she holds many advisory international roles and is well recognised internationally for her research in biophotonics for her pioneering research contributions. She has conferred as the Fellow of Optical Society of America (OSA), Fellow of American Institute of Medical Bioengineering (AIMBE) and Fellow of Institute of Physics, UK.
Related Articles
Ovarian cancer fingerprinting in real time
12 Jan 2024A new portable diagnostic technology promises unparalleled speed, accuracy and clinical utility for ovarian cancer
Breathing easy with super sensitive diagnostics
6 Dec 2023A new approach combines surface-enhanced Raman spectroscopy with advanced computer analysis to accurately and rapidly
Listening out for inflammation
22 Nov 2023A non-invasive diagnostic method that uses light and sound can help clinicians assess and track
Machine learning gets under the skin
24 Mar 2023Researchers develop machine learning models for accurately diagnosing an inflammatory skin condition.
Sensor-equipped smart dressings signal when healing stalls
2 Mar 2023Advanced biosensors integrated into dressings capture molecular information to monitor whether wounds are healing.
A non-invasive diagnostic test that “listens” to the skin
23 Aug 2022A*STAR scientists develop an optoacoustic imaging technology for diagnosing disease by assessing subtle blood flow