Vi Fitness is a mobile app (iOS, Android) that delivers an immersive AI personalized fitness pcoaching experience via wireless biosensing earphones designed and manufactured by LifeBEAM. As a mobile engineer I meticulously crafted the UI and UX for Vi while collaborating with designers, product owners, and engineering teammates. Vi raised almost $1.7 million on Kickstarter in 2016 and continues to provide a subscription-based fitness coaching app today.
November 2016 – August 2017
50–100 (~10 software)
Encore was a free iOS concert app that collected photos and videos taken by the crowd at concerts from social media sites. Users could view these collections for concerts they had been to or they were interested in, and also search for and buy tickets for upcoming shows, as well as preview and buy music. Our team was part of the 2013 cohort of The Next 36. The app and website is no longer maintained, but check out this demo video plus our promotional video (produced by Wyatt Clough).
2013 – 2015
Co-founder and iOS lead
Sensimat is a Bluetooth wheelchair mat that connects to an iOS device to track pressure reliefs performed by a wheelchair user with the goal being to improve adherence. Pressure reliefs help prevent the development of pressure ulcers, which can result in hospitalization or may even be fatal if left unchecked. The team ran a successful Indiegogo campaign in 2014.
2013 – 2015
Development (primarily iOS)
Alcohol withdrawal syndrome (AWS) must be treated properly or it may result in permanent brain damage or death. At the same time, it is fairly common for alcoholics to try to get treatment drugs by faking the symptoms of withdrawal. AWS is characterized by a number of symptoms including hand tremor. Using the motion sensors in the iPhone I developed an application with Dr. Bjug Borgundvaag (Mount Sinai Hospital, Toronto, pictured above) based off of a paper clinical withdrawal assessment tool called the CIWA to quantitatively assess tremor rather than rely on a subjective visual assessment. The ongoing project went on to receive governement funding and further academic support for additional research and analysis.
Smart Vision Labs is a New York-based healthcare startup developing an objective vision exam using a custom hardware device with an embedded iPhone.
As the iOS engineer I was responsible for implementing the UI, image processing, and background data synchronization. I collaborated closely with designers, scientists, and other members of the software team.
Using machine learning and large data sets we developed interesting algorithms for improving the performance of the device (which computes refractive error from image data captured on the phone) as well as other complex algorithms for auto-capturing images, and identifying and measuring facial features.
My thesis was on the feasibility of using consumer wristband activity monitors as a tool for the remote monitoring of heart failure patients. I designed and executed a clinical study at the cardiac clinic at Toronto General Hospital.
The study involved giving each participant a Fitbit activity tracker for two weeks, and then analyzing the step data as well as assessing the practicality of using these low-cost devices in a clinical context without giving patients specific tests to conduct while wearing them. I found that the step rate data did correlate with clinical measures of exercise capacity and that the devices showed some potential for use in a clinical setting. A paper was published in JMIR Cardio in May 2019.
September 2013 – September 2015
Delphia is a consumer investment platform aiming to leverage a user's own data to help them produce better investment outcomes.
Swift, Django, Python, Github
August 2020 – present
Swift Medical is a wound care platform for medical professionals to track and assess serious, often life-threatening wounds (e.g. pressure sores, diabetic ulcers, amputations, etc) in a medical context. The iOS app leverages complex computer vision algorithms to automatically estimate wound area as well as depth, colour, and other attributes all on a mobile device.
CoHealth (formerly Dash Digital Healthcare) was a information and task management app for patients to use after being discharged from medical care as a simple reference tool and to stay on top of medications and other requirements for their care. As technical lead I overhauled the iOS app while also managing the development of the Android app and Django backend, as well as managing hiring for those platforms. I also collaborated directly with the company leadership and designers to direct the product and feature development. The company shut down in 2020.