Leandro Tiburske

About

I am a Bioinformatician proficient in Python, R and Bash programming with hands-on experience in pipeline orchestration with Nextflow, high-performance computing (HPC) and development of Next-Generation Sequencing (NGS) data analysis pipelines. A curious, logical, and organised professional, I am proactive, quick to learn, and adept at problem-solving.

I am dedicated to using data to uncover valuable insights that push biological research and innovation forward!

Experience

  • Bioinformatics Analyst - BIOTROP

    April 2024 - Present

    Responsible for analysing metagenomics sequencing data to produce reports that facilitate data-driven sales of biological inputs, as well as improving and developing NGS data analysis pipelines.

  • Research Intern - Linköping University

    August 2023 - November 2023

    Orchestrated a Bash pipeline on a HPC to preprocess and analyse raw metagenomics data. Assisted in organising and preparing samples for sequencing in partnership with SciLifeLab, the Swedish Institute of biological high-throughput data.

  • Undergraduate Researcher - Albert Einstein Education and Research Center

    September 2022 - March 2024

    Conducted a comprehensive analysis of single-nuclei and bulk RNA-Seq data from brain samples of individuals with bipolar disorder. Identified a potential role for the genes CHI3L1 and SERPINA3 in the neuroinflammatory and neurodegenerative processes associated with bipolar disorder.

Education

  • MBA in Software Engineering - University of São Paulo

    October 2024 - Present

    Focus on software development, DevOps, cloud computing, and infrastructure as code. Covers agile methodologies, UX, data engineering, machine learning, big data, blockchain, and API management, while developing leadership and emotional intelligence skills.

  • BSc in Biomedical Sciences - University of São Paulo

    January 2020 - March 2024

    Attended classes at both undergraduate and graduate levels:
    Differential and Integral Calculus (Mathematics Undergraduate Program), Systems Biology (Bioinformatics Graduate Program), Microbiome Data analysis (Pharmaceutical Sciences Graduate Program), Concepts of Programming Languages (Computer Science Graduate Program).

Skills

Programming languages

Python

R

Bash

Rust

Workflow orchestration

Nextflow

Front-end development

HTML

CSS

Bootstrap

Other technologies

NGS data analysis

Docker

Version control

Azure

Portfolio

scMultiAnnotator

scMultiAnnotator facilitates single-cell annotation according to its gold standards. This Nextflow-orchestrated pipeline implements three annotation algorithms, each using a different approach.


Open on GitHub

bionet-rs

Rust implementation of gene coexpression networks for efficient and fast analysis, leveraging low-level programming and multi-threading techniques to maximise performance.


Open on GitHub

Transcriptomics of Bipolar Disorder

For my Bachelor's thesis, bulk and single-cell RNA sequencing analyses were conducted on brain samples obtained from both control and bipolar individuals. The project encompassed the entire process, from the initial processing of raw data through to the examination of differential expression, coexpression patterns, and cell-cell communication.


Open on GitHub

Metagenomics and Gut-Brain Axis

Developed during my research internship at Linköping University in Sweden, the aim of this project was to perform metagenomic sequencing on mouse samples to understand the impact of a high-fat diet on cognition, behaviour, and microbiota. The analysis was conducted on a high-performance computing system (HPC) managed with Slurm.


Open on GitHub

This website

Built with HTML and CSS and hosted on GitHub Pages, this site allows me to practice my front-end skills while sharing my professional background.


Open on GitHub

Contact me

LinkedIn
GitHub