Leonor Pereira

Co-Founder & CTO @ Lampsy Health

About

I am a Biomedical Engineer MSc with 3+ years' experience in research across the biosignal acquisition and instrumentation field. Always eager to deepen previously acquired knowledge, learn new skills and obtain new insights into various areas of expertise, particularly AI, Machine Learning and Computer Vision. This drive to learn has lead me to become a co-founder of a medtech startup called Lampsy Health. Lampsy provides 99% accurate real-time alerts for dangerous seizures, bringing peace of mind to families struggling with epilepsy while remaining invisible.

Country

Portugal

City

Lisbon

Industry

Medical Device

Skill

Project Management, Machine Learning, Artificial Intelligence (AI), Computer Vision, Epilepsy, Team Management, Software Documentation, Git, Database Systems, Version Control, NoSQL, Query Writing, Data Visualization, Statistics, Mathematics, Teamwork, Problem Solving, Data Analysis, Communication, Research and Development (R&D)

Experience

Co-Founder & CTO

Lampsy Health

2024-10 - Present · 2 yrs

Lisbon, Portugal

Research Engineer

ScientISST

2021-12 - 2024-9 · 2 yrs 10 mos

Lisbon, Portugal

• Developed new tools within BioSPPy, a Python toolbox for biosignal processing. • Completed detailed analysis and documentation of key findings from ScientISST tools. • Created educational tools and content to support Biomedical Engineering students. • Monitored and mentored student projects in the field of Biomedical Engineering. • Participated in educational and science outreach events.

Research Fellowship

Instituto de Telecomunicações

2021-12 - 2024-2 · 2 yrs 3 mos

Lisbon, Portugal

• Collaborated with a a multi-disciplinary team in the Halo project to develop a non-invasive Human-Machine Interface, capable of transforming physiological signals' patterns into language. • Contributed to the development of physiological signal acquisition sensors, systems and software. • Developed software for real-time/offline processing and automatic classification of physiological signals. • Produced technical and scientific content about developed sensors and software. • Performed laboratory and experimental validation for newly created sensors and software. • Conducted thorough analysis of key outcomes and documented findings.

Internship

NEVARO

2021-7 - 2021-9 · 3 mos

Lisbon, Portugal

• Developed an efficient biofeedback algorithm for gamified mental health management strategies • Achieved high accuracy in the automated labelling of breathing audio recordings by developing an effective Convolutional Neural Network.

Internship

Institute for Systems and Robotics (ISR-Lisboa)

2021-3 - 2021-7 · 5 mos

Lisbon, Portugal

• Evaluated the grasp capabilities of the RH8D robotic hand on various objects with different sizes and shapes • Developed a comprehensive dataset of various grasp types using the RH8D hand to enhance an existing in-hand manipulation dataset (HANDLE project). • Developed software to generate object poses in Isaac Gym based on video recordings.