Nima Barani Email & Phone Number

Toronto, On, Ca

Toronto, Ontario, Canada

Thorold, Ontario, Canada

- Design and develop a de novo transcriptome assembly pipeline for RNA-seq analysis of non-model organisms, leveraging the Nextflow workflow management system.- Develop and Maintain bioinformatics analysis pipelines for Next-Generation Sequencing (NGS) data, encompassing quality control of reads, adapter trimming, and utilization of genome alignment tools.- Develop custom algorithms and scripts in Python, R, Java, and Bash for downstream analysis of RNA-Seq data, including small RNA… Show more - Design and develop a de novo transcriptome assembly pipeline for RNA-seq analysis of non-model organisms, leveraging the Nextflow workflow management system.- Develop and Maintain bioinformatics analysis pipelines for Next-Generation Sequencing (NGS) data, encompassing quality control of reads, adapter trimming, and utilization of genome alignment tools.- Develop custom algorithms and scripts in Python, R, Java, and Bash for downstream analysis of RNA-Seq data, including small RNA, mRNA, and 16S rRNA.- Migrate all bioinformatics pipelines to Docker containers, significantly enhancing deployment efficiency and ensuring reproducibility across different computing environments.- Collect, review, and interpret genomic data using a combination of open-source and internally developed bioinformatics tools, ensuring accurate and insightful data analysis. Show less

St John’S, Newfoundland And Labrador, Canada

- Developed a dual RNA-seq pipeline using Nextflow and Docker for reproducibility on Compute Canada HPC clusters (using SLURM).- Developed post-process analysis differential gene expression and statistical analysis utilizing DESeq2 in the R programming language.- Developed a variational autoencoder (VAE) model for feature encoding, using PyTorch, to enhance the performance of prediction models.- Developed and tested Python packages for machine learning pipelines leading to more… Show more - Developed a dual RNA-seq pipeline using Nextflow and Docker for reproducibility on Compute Canada HPC clusters (using SLURM).- Developed post-process analysis differential gene expression and statistical analysis utilizing DESeq2 in the R programming language.- Developed a variational autoencoder (VAE) model for feature encoding, using PyTorch, to enhance the performance of prediction models.- Developed and tested Python packages for machine learning pipelines leading to more robust data preprocessing and analysis.- Developed a dilated Convolutional Neural Network (CNN) model to analyze a multi-bacteria genomic dataset, achieving a storage optimization of 3000 times compared to the baseline model. Show less

St John’S, Newfoundland And Labrador, Canada

COMP-6905 - Software Engineering - Winter 2023COMP-1001 - Introduction to Programming - Fall 2022, Winter 2023COMP-1000 - Computer Science - An Introduction - Fall 2022

Isfahan, Isfahan Province, Iran

Researched and implemented a Persian speech recognition model using recurrent neural network (RNN), long short-term memory (LSTM), and adaptive filtering using Google Cloud Platform (GCP).

Isfahan, Isfahan Province, Iran

Computer Aided Digital System Design (CAD) - Fall 2018

Isfahan, Isfahan Province, Iran

• Developed an application facilitating seamless communication between employees and executives through streamlined ticket filing and management using Swift and Firebase Realtime Database.• Significantly enhanced the UI/UX experience by implementing visually compatible themes and applying design patterns for a cohesive and intuitive user interface.• Employed advanced techniques such as CI/CD, Test-Driven Development (TDD) and Git version control to improve efficiency, maintain code… Show more • Developed an application facilitating seamless communication between employees and executives through streamlined ticket filing and management using Swift and Firebase Realtime Database.• Significantly enhanced the UI/UX experience by implementing visually compatible themes and applying design patterns for a cohesive and intuitive user interface.• Employed advanced techniques such as CI/CD, Test-Driven Development (TDD) and Git version control to improve efficiency, maintain code quality, and facilitate collaboration among developers. Show less

Master Of Science - Ms, Computer Science

Computer Engineering, Computer Hardware Engineering