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simonebmalerba/README.md

Simone Blanco Malerba, PhD 🦝

**Research Scientist and Machine Learning Engineer **


About me

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.


Tech stack

Python Julia PyTorch Scikit-Learn Pandas Linux HuggingFace


Current work

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

Projects

🌱 AI for ecological restoration – AICACIA

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.


🧠 Modeling neural computation

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.


Outside science

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.


Links

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

Pinned Loading

  1. neural_VAE neural_VAE Public

    Python 1

  2. RandomCompressedCoding RandomCompressedCoding Public

    Julia

  3. decoding_cneuro decoding_cneuro Public

    Julia

  4. fantacalcio fantacalcio Public

    Jupyter Notebook

  5. gpl_xaicacia gpl_xaicacia Public

    Forked from UKPLab/gpl

    Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptatio…

    Python