Ivan Ezequiel Privitera

Middle

Регистрация: 16.01.2026

Специализация: Bioinformatician

— Bioinformatician with experience in genomic and transcriptomic data analysis, NGS workflows, and reproducible computational pipelines (Python, R, Bash, Git, Nextflow, Snakemake, Docker). — Skilled in data preprocessing, QC, clustering, multivariate analysis, and statistical interpretation for clinical and biological datasets. — Strong collaboration and communication skills developed through interdisciplinary research. — Seeking to contribute to teams working in healthcare data, biomedical research, or biotech software environments. Conference Publications: — Genome-scale Metabolic Model for Microcystis aeruginosa — WCCE11, Buenos Aires (2023). — Plankton Dynamics Modeling in Paso de las Piedras Reservoir — Argentine Congress of Limnology (2022). Achievements: — Awarded a fully funded ITEC Scholarship (Government of India) to attend a Climate Change & Environment Training Program at IISc Bangalore (February 2023). — Developed competencies in climate data interpretation, ecological risk frameworks, and sustainability-focused policy analysis.

SQL Matplotlib Data Modeling Python Git Презентации Seaborn Data Analysis Docker R Jupyter Notebook Bash

Скиллы

NGS

Bioinformatics

RNA-seq (RSEM, DESeq2)

VCF processing

FASTA / FASTQ

Visualization

Systems Biology

Metabolic modeling

COBRApy

Python

Bash

SQL

Galaxy

Snakemake

Docker

Git

Data Analysis

Data Modeling

PCA

Clustering

Statistical Modeling

Опыт работы

Doctoral Researcher / PhD Candidate

с 02.2021 - По настоящий момент |PLAPIQUI - UNS - CONICET

Python, R, Bash, Git, Nextflow, Snakemake

Bioinformatics Researcher (Data & Pipelines). ● Built and automated data processing workflows using Python, R, Bash, Git. ● Performed RNA-seq and multivariate analyses to extract biological insights. ● Developed reproducible pipelines for omics data interpretation (Nextflow/Snakemake). ● Conducted statistical modeling and clustering for feature pattern detection. ● Produced technical documentation and reports to support research decisions.

Bioinformatician

с 06.2019 - По настоящий момент |NDA

Bash, Docker, Python, RSEM, DESeq2

Bioinformatics Projects & Training. ● RNA-seq analysis, NGS pipelines, systems biology workflows, and clinical genomics interpretation. ● Participation in international workshops and hackathons (SAB, Universidad de Granada, Mount Sinai Hospital). Projects: Reproducible Pipeline in Nextflow (Bash + Docker). ● Developed modular pipelines with execution profiles for local and Docker environments; applied reproducible workflows for FASTA processing. Metabolic Syndrome Clinical Data Analysis (Python). ● Performed data cleaning, standardization, exploratory statistics, and visualization to identify metabolic risk patterns. Genome-Scale Model of Microcystis aeruginosa. ● Conducted differential expression analysis and multivariate clustering to identify regulatory modules linked to toxin production. RNA-seq Analysis in Cancer (UNLu). ● Processed SRA datasets, performed expression quantification using RSEM, differential expression analysis with DESeq2, and clustering to detect transcriptional patterns.

Research Associate

09.2021 - 12.2025 |Universidade de Pernambuco

Research

● Collaboration on interdisciplinary research involving health, scientific communication, and data analysis.

Образование

Biological Sciences (Бакалавр)

По 2019

Universidad CAECE

Bioinformatics

с 2024 - По настоящий момент

Universidad Nacional de Luján (UNLu)

PhD in Biological Sciences

с 2020 - По настоящий момент

Universidad Nacional del Sur (UNS)

Языки

АнглийскийСвободно владеюИтальянскийСвободно владеюФранцузскийСвободно владеюПортугальскийПродвинутыйНемецкийБазовыйИспанскийСвободно владею