Summary
Daniella Tola is a Data Scientist and robotics engineer with a PhD in Mechatronics and over a decade of experience bridging research and production in robotics, computer vision, and manufacturing. She architects and ships ML and CV systems—often deployed on edge devices like Jetsons—for industrial object detection and fault classification, and has a track record of proposing patent‑worthy solutions early in projects. Her background spans hands‑on embedded C++/ROS work to high‑level Python system design, and she has led cross‑disciplinary efforts from KPI design for aseptic pharmaceutical layouts to AR prototyping in Unity. Comfortable in both academic and client-facing roles, she mentors students, teaches applied linear algebra in Python, and builds strong client relationships that follow her across countries. Based in Melbourne, Daniella combines deep technical rigor with practical deployment experience and an uncommon mix of standards‑aware safety thinking and product sensibility.
10 years of coding experience
2 years of employment as a software developer
Visiting Ph.D. student Mechatronics Robotics and Automation Engineering, Visiting Ph.D. student Mechatronics Robotics and Automation Engineering at QUT (Queensland University of Technology)
Civilingeniør Computeringeniør, Civilingeniør Computeringeniør at KU Leuven
Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering, Doctor of Philosophy - PhD Mechatronics Robotics and Automation Engineering at Aarhus University
STX eksamen Matematik Fysik Kemi, STX eksamen Matematik Fysik Kemi at Aarhus Statsgymnasiet
Diplomingeniør Elektronik, Diplomingeniør Elektronik at Engineering College of Aarhus
Danish, Spanish, Arabic, chaldean, English