Marika leads on the commercialisation of MedTech related technologies from Imperial’s Faculty of Engineering and has led on the licensing to startups such as ProtonDx, Biomex and Reco Medical since joining Imperial in 2019. Prior to Imperial, Marika spent 20 years in the diagnostics industry across the fields of cardiology, infectious diseases and women’s and reproductive health. Roles spanned R&D, medical affairs and more recently involved leading new business associated with external partnerships. She holds an MSc in Chemical Engineering and PhD in Biotechnology from Lund University, Sweden.
Smart phone Ballistocardiography (BCG) is a novel measurement method that requires fewer sensors (≥ 1) placed above the heart. It measures the physical movement of the chest due to the heart beating rather than electrical signals measured by ECG Find out more
ENGINI is a next generation neural implant technology for brain machine interfaces (BMIs) applicable to both central and peripheral nervous system Find out more
CHORDS is a dual clustered regularly interspaced short palindromic repeats (CRISPR)/Golden gate assembly method for the construction of repetitive DNA sequences. This enables the construction of repetitive DNA sequences flanked by short ( Find out more
An engineered platform for controllable, “cell-activated” therapeutic delivery. Find out more
Ultrasound is one of the most commonly used clinical imaging modalities, characterized by its real-time capability, excellent safety, ... Find out more
More than 26 million people worldwide suffer from heart failure; there are around 1 million new cases annually in the US ... Find out more
Machine learning approach for high-level multiplexing in qPCR and dPCR, up to 21-plex demonstrated Find out more
A wearable non-invasive neural interface with the human spinal cord Find out more
PEPPER: A modular safety system for insulin dosing - glucose forecasting algorithm for long-term prediction horizons Find out more
Artificial pancreas technology with automated insulin delivery for blood glucose control in people with type I diabetes (TID). Find out more
Clinically validated blood glucose forecasting technology to accurately predict the probabilistic distribution of short-term (30-60 minutes) future continuous glucose monitoring (CGM) measurements. Find out more
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