Lorenzo MazzeoLM
Open to opportunities

Lorenzo Mazzeo

@lorenzomazzeo

Research-oriented environmental scientist with expertise in biodiversity modeling.

Italy
Message

What I'm looking for

I am seeking a role that fosters innovation in environmental data science, emphasizing collaboration and sustainability.

I am an environmental data scientist with a strong research background in biodiversity modeling and climate data integration. My hands-on experience includes working on ecotoxicological risk assessments and developing statistical models using R and Python. I am particularly passionate about applying machine learning and artificial intelligence to enhance environmental forecasting and sustainability efforts.

Throughout my career, I have contributed to various projects, including my recent internship at CMCC Foundation, where I integrated ecotoxicological impact assessments into climate models. My academic journey has equipped me with a solid foundation in environmental biology, ecotoxicology, and statistical analysis, allowing me to quantify biodiversity patterns effectively. I thrive in collaborative environments and have a proven track record of supporting outreach and science communication initiatives.

Experience

Work history, roles, and key accomplishments

CC

Climate Modeling Internship

CMCC Foundation - Centro Euro Mediterraneo sui Cambiamenti C

May 2025 - Present (2 months)

Worked on the integration of ecotoxicological impact assessments into the WITCH Integrated Assessment Model, focusing on biodiversity risks linked to chemical emissions. Contributed to the development of an R-based module for model enhancement.

ML

Sampling Technician

Microlife Lab

Jul 2024 - Present (1 year)

Responsible for field sampling of soil, water, and biological matrices, ensuring proper conservation, traceability, and transportation for downstream lab analysis.

UM

Master Thesis Internship

Università degli Studi di Milano

Mar 2023 - Present (2 years 4 months)

Carried out a statistical study on biodiversity using seed samples from local farms in Lombardy. The project focused on quantifying richness and distribution patterns through ecological indices.

NI

Junior Analyst Intern

nina.capital

Feb 2019 - Present (6 years 5 months)

Worked on market intelligence and database construction for early-stage medtech analysis. Automated CSV-based pipelines and supported internal research processes as part of an Erasmus+ traineeship.

Education

Degrees, certifications, and relevant coursework

UV

Università Ca' Foscari Venezia

MRes in Science and Management of Climate Change, Science and Management of Climate Change

Focused on the integration of climate models and statistical analysis in Python (data parsing and climate risk assessment) and R (GLMs, time-series) for environmental forecasting.

Università degli Studi di Milano-Bicocca logoUM

Università degli Studi di Milano-Bicocca

MSc in Biology, Biology

Focused on environmental biology and ecotoxicology, including field sampling for biodiversity surveys and the application of statistical tools to species monitoring.

Università degli Studi di Milano-Bicocca logoUM

Università degli Studi di Milano-Bicocca

BSc in Biotechnology, Biotechnology

Focused on molecular biology and biochemistry in lab settings, with foundational knowledge in Python for data wrangling.

Tech stack

Software and tools used professionally

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Lorenzo Mazzeo - Climate Modeling Internship - CMCC Foundation - Centro Euro Mediterraneo sui Cambiamenti C | Himalayas