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Hi there

I'm Emanuel Michele Soda. I've a bachelor degree in Computer Science at Università degli Studi di Milano-Bicoccaand a master in Bioinformatics for Computational Genomics 👨‍🔬 💻 at Università di Milano and Politecnico di Milano.

I have done an internship followed by a fellowship at Istituto Europeo di Oncologia in the Minucci group.

Currently, a PhD student in Data Analytics and Decision Sciences at Human Technopole in the Glastonbury group.

Some of my work 👷

What I'm in to ❤️

I really like Biology, Science, Statistics and Informatics. I've studied Java ☕, Python 🐍, R 🧪.

I've also experimented with different tools, like:

I'm in love with 🍎 💻 and food 🍞 🍝 🥩 🥟 🍣.

📊 This Week I Spent My Time On:

Python   ██░░░░░░░░░░░░░░░░░░░░░░░   10 % 
R        ██████████████████████░░░   90 % 

Stats

Emanuel's GitHub stats

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Emanuel Soda's Projects

atacseq icon atacseq

ATAC-seq peak-calling, QC and differential analysis pipeline

cellvit icon cellvit

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

chipseq icon chipseq

ChIP-seq peak-calling, QC and differential analysis pipeline.

nf-star-tetranscript icon nf-star-tetranscript

This project aims to develop an nf-core nextflow pipeline to conduct genes and transposable elements from RNA-seq data

rnafusion icon rnafusion

RNA-seq analysis pipeline for detection gene-fusions

rnaseq icon rnaseq

RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.

screenr icon screenr

An R package that enables the user to perform High Throughput Biological Screening.

spatialtranscriptomics icon spatialtranscriptomics

Pipeline for processing spatially-resolved gene counts with spatial coordinates, image data, and optionally single cell RNA-seq data, designed for 10x genomics visium and single cell transcriptomics.

textrl icon textrl

Reinforcement learning in text generation with transformers

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