**Research Scientist and Machine Learning Engineer **
My background spans electrical engineering, physics, and machine learning, with nearly a decade of experience analyzing complex datasets and building computational models across different domains, including neuroscience, electrical engineering, machine learning and artificial intelligence.
I am a researcher interested in understanding complex systems through mathematical modeling, data analysis, and machine learning.
At the same time, I enjoy building practical solutions, translating theoretical ideas into robust code, experiments, and data-driven systems that can support decision-making in real-world settings.
I am currently a Marie Curie Postdoctoral Fellow at the University Medical Center Hamburg-Eppendorf (UKE), where I study how neural systems encode and process information from the external world to produce complex behavior.
You can find a description of the project here:
https://cordis.europa.eu/project/id/101152984
Briefly, my work investigates how astrocytes—a type of cell in nervous tissue—may contribute to computation in neural networks, particularly in the hippocampus.
I analyze multimodal neural and behavioral recordings with different spatial and temporal resolutions (e.g. electrophysiology and calcium imaging) using advanced statistical and machine learning methods.
This work combines:
- analysis of large-scale neural recordings
- multimodal data integration
- machine learning and statistical modeling
- computational models
Volunteer ML engineer at Collaborative Earth, contributing to the AICACIA project.
We develop tools to organize and retrieve ecological restoration knowledge using:
- automated document processing
- retrieval systems and embedding models
- question generation and knowledge synthesis
The goal is to make high-quality reforestation knowledge accessible to practitioners and decision makers.
Research on how neural circuits encode and process information using:
- dynamical systems models
- statistical inference
- large-scale neural recordings
You can find a list of publications in Google Scholar.
When not coding or thinking about models, I enjoy running and hiking onto big rocks, cinema a good book. Random nerdy stuff I am passionate about: maps, history, linguistic, sports.
LinkedIn
https://www.linkedin.com/in/simone-blanco-malerba-50b61b146
Google Scholar
https://scholar.google.com/citations?user=1dcAo3cAAAAJ&hl=it
Email
simone dot bmalerba at gmail dot com

