Auckland, Auckland, New Zealand
Now applying cutting edge AI solutions to computer vision problems to improve orthopaedic surgical planning. In the past I have tackled nuclear fusion, rocket science and autonomous vehicles. I enjoy applying control engineering to big challenges, which have the potential to make a significant improvement to quality of life in our society. I only have contacts from people I have met personally, so please understand if I don't accept your contact request.
Independent expert analysis for investors in nuclear fusion startups
Formus allows surgeons to progress from scan to plan in under an hour, generating accurate pre-operative plans for hip replacement surgery which save time in the operating theatre, help manage inventory and improve patient outcomes. Accurate AI underlies all of the amazing biomechanical analysis that Formus does. The model for segmenting CT scans has improved average accuracy from 2.0mm to 1.1mm and now 0.6mm. The improvement reflects what is possible when using the latest AI architecture, powerful cloud hardware and curating a diverse dataset with high quality labelling. Exciting new projects are also in the works, including something we hope to be the first in the world to commercialise… watch this space. Besides AI, I’ve enjoyed collaborating right across our small startup. Having the opportunity to work with talented people on everything from strategy to UX, DevOps to clinical research.
Computer Vision helps to collect a wide range of data that feeds back into improvements for our city's transport network. I have worked on projects related to user numbers (through the roof!) and safety on cycle paths, counting pedestrian traffic in the city centre, collecting data on red light runners and helping to enforce bus lanes so that our public transport network can operate as efficiently as possible. I have driven new developments related to detecting vehicle occupancy and enforcing transit lanes. AI and Machine Learning have made massive developments in computer vision in recent years, and we are applying those cutting edge techniques to new challenges every day. While constantly expanding our technical capabilites, we are mindful of the potential privacy implications of our work, and take our responsibility to the public very seriously.
My research at AUT focusses on communication and control for autonomous vehicles. New opportunities are arising from computer vision and wireless connectivity between vehicles (V2V) and their environment (V2X). Integration of robust control with deep learning techniques aim to make our roads safer and more efficient - hopefully sooner rather than later.