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tech co-founder at Tiro.health
Many clinicians are struggling with the increasing administrative burden but tools are lacking to support structured data capturing. Tiro.health is a software company that empowers clinicians in taking medical notes and provides truly real world data. Our app is trying to break down health data silos and building on the next generation API-enabled EHRs using the latest interoperability technologies like FHIR, SNOMED CT. With our clinician-focused application, I want to build bridges between health tech developers and medical doctors.
EPFL
MSc in Electrical Engineering
January 1, 2016 – January 1, 2017
KU Leuven
MSc., Electrical Engineering
January 1, 2015 – January 1, 2017
KU Leuven
BSc in Electrical Engineering
January 1, 2012 – January 1, 2015
Sint-Barbara College
Science - Mathematics
January 1, 2006 – January 1, 2012
Tiro.health
Co-Founder
June 1, 2021 – Present
Gent en omgeving
Yazzoom
Machine Learning Engineer
September 1, 2018 – May 1, 2021
Gent en omgeving, België
Smappee
Machine Learning & DSP Engineer
July 1, 2017 – September 1, 2018
Kortrijk
Smappee
Internship: Data Scientist for NILM
July 1, 2016 – June 1, 2017
Kortrijk
TechStart
Technical feasibility analyst
September 1, 2015 – January 1, 2016
Leuven
/
Tutoring
August 1, 2015 – September 1, 2017
UNILIN
Internship: Energy-monitoring & metering
July 1, 2015 – July 1, 2015
Wielsbeke
Televic Conference
Studentjob Webdevelopment
August 1, 2011 – August 1, 2011
Technical feasibility study
September 1, 2015 – December 1, 2015
In a team of students, we conducted a technical feasibilty study for a R&D project of MuuseLabs.
D.R.A.G.O.N. - RF
September 1, 2014 – June 1, 2015
D.R.A.G.O.N. is a robot that balances on two wheels. It can follow a white line and detects possible collisions with nearby objects. The task of the subgroup 'RF' was to create a wireless halfduplex communication protocol that enables the user to fully control the robot.
Accoustic touchscreen
January 1, 2014 – June 1, 2014
A blackboard is made dynamic by placing accelerometers on it and displaying content with a beamer. The contact with the surface of the blackboard is registered and processed with an algorithm based on the time-reversal principle.
Cultural Fit Analysis
The candidate's background includes diverse experiences from academic projects (robotics, acoustic touchscreen) to industry roles in ML/DSP and co-founding a health tech startup. This breadth suggests adaptability and a willingness to engage with varied challenges. The transition from Electrical Engineering to Machine Learning and Data Science aligns with a growth mindset. However, the projects listed are primarily academic/personal and lack specific details on team dynamics or collaboration styles, making a deep cultural fit assessment challenging without further information.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and in technical feasibility analysis suggests strong problem-solving, initiative, and project management skills. Tutoring experience indicates communication and mentorship abilities. However, the provided data does not offer direct insights into stress handling or team collaboration beyond role descriptions.