Innovation Journey

Co-founded Dsrupt.ai

Co-founded Demograph.ai

Co-founded AI Leads Factory

Co-founded Efficient Automation

Founded ERROS to combat medical error

Co-creator and supervisor of a novel approach to detecting virus evolution through mathematical entropy

Co-founded Evia Health to improve medicine adherance and auto-package pills for improved convenience and healthcare outcomes

Created an interview series/podcast Shift.Stream to showcase human resilience to forge success despite major adversity

Initiated projects to study the uncanny valley hypothesis and to leverage GAN networks to improve medical textbook images

Conceptualised and supervised a novel stimuli based model of the brain

Co-supervised an X-Ray data generation system to include pathology

Angel to and Chairman of the Board of Resolute Education which is closing the increasing gap in STEM education and accessibility in STEM education

Created shift.stream to give hope during the 2020 pandemic. Shift.stream is an interview series to showcase remarkable individuals who have overcome major adversity to make their lives extraordinary

World first innovation BrainConnect where messages were passed through a human brain using the SSVEP response to light

Co-founded Reach to help solve the anxiety pandemic by democratising access to mental health tools

(Toward PhD) A solution to the issue of error in laboratory medicine developed with machine learning. This problem results in millions of deaths a year and billions in wasted expendature, and has been simply solved using machine learning techniques at Wits University.

(Toward MSc) A novel machine learning technique to enable machine learning from exceptionally small datasets in the context of automated body mass index estimation.

Delivered over 80 public talks on five continents largely based on innovation work, some to audiences larger than 1 400 people

Co-supervised an automated pathology screening tool for X-Rays

World first innovation Brainternet launched to media by Wits University captured massive public attention (more than 300 000 Google hits, and news in media around the world including Futurism, Ozy.com, World Economic Forum, and many others)

Lead a team of 54 people in extensive innovation for VAT IT across 7 teams - including international expansions, process automation, OCR, machine learning

Co-founded AURA and Board Member of the world's largest private response network, which has saved upward of 1 100 lives

Co-conceptualised and supervised a project to use electromyography to improve CPR training and delivery

World first innovation to leverage the vestibulo-occular reflex to more naturally control a light (note a patent showing idea priority was subsequently discovered, but this was a unique idea at the time and a unique implementation to our knowledge)

Supervised a project for an AI tool to automatically identify medical pills

Initiated, arranged, and co-delivered the Lean Launch Pad at Wits University to expose graduate engineers to commercialisation and innovation, resulting in DocFox (also was a co-founder of its predecessor Gladi8)

Played a minor role in the activities around the establishment of Tshimologong at Wits

Supervised a project for an eye controlled wheelchair using off-the-shelf accessible technologies

Co-founded Tariffic, recipient of a SPII grant, implemented and lead the team producing IP of world-first technology to extract information from billing, analyse, and recommend the optimal mobile phone contract over tens of thousands of options in South Africa

Supervised a project to leverage SSVEP for disabled people to control their environments demonstrated by controlling a remote robotic arm through perception of light and facial expression

Co-founded Medinexus South Africa for distribution of radiological information to recipient doctors which ultimately became a full Lab Information System, PRTL

Co-created a low cost surgery automation environment control system including a hand-seeking light system and remote computer interaction system

Created a viable means of assessing the impact of imputation of missing data in machine learning