Singapore, Singapore
Kezia Susanto is a PhD candidate in the Healthcare and MedTech Division at the Institute for Infocomm Research (I²R), A*STAR. She holds a degree in Engineering Science with a specialization in Biomedical Engineering from the University of Oxford and is currently pursuing her PhD at the National University of Singapore under the SINGA scholarship. Her research focuses on optimizing stimulation-based neurotechnology, developing predictive models to enhance neuromodulation for patients with Parkinson’s disease and spinal cord injuries. Passionate about the future of AI and digital healthcare, she aspires to drive innovation and become a leader in this rapidly evolving field.
Optimization of implantable neurotechnology under the Institute for Infocomm Research (I2R), Health & MedTech Division. Supervised by Dr Rosa So and Prof Dean Ho.
Managed partnerships, pitch, and scope projects with clients depending on their needs. Monitor data science consultancy projects across various industries: finance, education, biotech, and trading.
Completed training courses encompassing advanced Python, machine learning, and data science.
Designed a blueprint for BMW customer data platform with scalable data ingestion and automatic engagement. Implemented digitalisations in all departments and initiated the use of analytics tools to accelerate data-driven forecasting.
Worked on signal processing of ultrasound data from children with urinary incontinence.
Drove start-up investments effort focusing on educational and financial technologies. Accelerated digital initiatives and transformed subsidiaries to be more competitive in emerging markets. Finally, explored renewable energy opportunities, adding value to the Astra chain.