Home

Remo Lazazzera

Dynamic biomedical technology and data science professional with a Ph.D. in Signal, Image, and Video Processing and over six years of experience in machine learning and data science for healthcare.

Known for leading complex R&D initiatives that drive advancements in diagnostic technology, focusing on the development of accurate and high-performance algorithms in production environments. Proven ability to manage multi-center clinical trials while ensuring ISO and IEC compliance.

Published researcher and team leader with a strong track record in both academic and industry settings, skilled in project management, teaching, and mentorship. Dedicated to promoting operational efficiency, compliance, and innovation in healthcare applications.

Hard Skills

Biomedical Engineering and Research
Signal, Image, and Video Processing
Machine Learning and Data Science
Software Engineering and Interface Design
Data Visualization and Dashboard Development
Clinical Protocols and Strategic Planning
Academic Teaching and Instruction

Soft Skills

Team Leadership and Project Management
Mentorship and Leadership
Communication (written and verbal) and Presentation Skills
Team Collaboration and Emotional Intelligence
Problem-Solving, Critical Thinking, and Resilience
Adaptability and Time Management

Key Achievements [after: collects key achievements from all list of the projects you did]- Engineered machine learning models for sleep apnea screening, heart rate monitoring, sEEG spikes analysis, breathing rate and blood pressure estimation surpassing industry benchmarks.- Led multi-center clinical trials, ensuring data integrity and compliance with ISO standards across multiple hospitals, improving trial efficiency and data quality.- Deployed machine learning algorithms into production environments using AWS, automating data analysis and reporting.- Taught and mentored students, enhancing their proficiency in TensorFlow, Python, and Java through hands-on learning.

Core Competencies

Data Science & Machine Learning: Development of supervised, unsupervised, and deep learning models, feature engineering, and exploratory data analysis.
Biomedical Signal Processing: Analysis of EEG, ECG, PPG, and IMU signals for medical and healthcare applications.
Data Collection & Annotation: Handling structured and unstructured data, utilizing labeling tools, and ensuring data integrity.
Clinical Trials & Protocols: Management of multi-center clinical trials, data collection protocols, regulatory compliance, and risk assessment.
Algorithm Deployment: Scalable deployment of machine learning models, real-time analytics, and production environment optimization.
Teaching & Mentorship: Instruction in machine learning and software engineering, and supervision of student projects.
Project Leadership: Agile project management, cross-functional team coordination, and comprehensive risk management.

Technical Skills

Programming Languages: Python, C++, C#, Java, Scala, JavaScript, NodeJS, Swift UIKit, MySQL, BASH, MATLAB, R, LaTeX, OpenSCAD, Fusion 360 (Autodesk)
Machine Learning & Data Science: TensorFlow, PyTorch, Keras, Sci-Kit Learn, Pandas, NumPy
Frameworks & Libraries: PyQt, Plotly Dash, Label Studio, Google Apps Script, Qt/.NET, .NET Framework, Telerik .NET, VTK, MQTT
Cloud & Infrastructure: AWS (S3, RDS, Lambda, EC2, ECR, ECS, Step Functions, SageMaker, Textract), Docker, Git, CI/CD pipelines
Visualization & Reporting: Metabase, Plotly Dash, Qt
Data Annotation & Supervision: Label Studio, Jupyter Notebooks, Google Collaboratory
Tools & Project Management: GitLab, Atlassian (Jira, Confluence, Bitbucket), Agile methodologies, Windows Linux Subsystem, MATLAB Production Server
Prototyping & Hardware: Arduino, ESP32, Raspberry Pi, prototyping boards (MCHP, NORDIC)
Medical Device Compliance: ISO 13485, ISO 14971, IEC 62304

Languages

Italian (Native), English (Fluent), French (Fluent), Spanish (Fluent)

Personal Interests

Geo-Politics: Keeping informed on Italian and international geo-political landscapes.
Investing: Retail stocks and financial markets.
Literature and Writing: Exploring diverse genres and enhancing communication skills.
Technology & Innovation: Internet of Things (IoT) devices, machine learning applications, and AI ethics.
Active Lifestyle: Calisthenics, biking, kickboxing.
Creative Arts: Dance (latinos) and music appreciation.
Travel & Cultural Exploration: Experiencing different cultures, languages, and cuisines.
Social & Community Engagement: Open to networking, friendly exchanges, and collaborative projects.

Volunteer Experience

Ph.D. Student Representative, Doctoral School MathSTIC Board (2019–2020), Grand Ouest region, France:
Represented a collective of Ph.D. students from multiple universities across the Grand Ouest region of France. Gathered and communicated Ph.D. students' needs and concerns to the regional doctoral school, coordinated events, and facilitated communication between students and faculty.
Student Coordinator, CROUS Rennes Beaulieu (2020), France:
Coordinated student activities and support during the COVID-19 lockdown across CROUS residences.
Youth Leader, Bernalda Local Church (2003–2018), Italy:
Led programs for children and adolescents, providing guidance and organizing educational activities. Volunteered at ACR and GREST Associations: Engaged in community service, supporting youth and local events.

Page updated

Google Sites

Report abuse