Menna Abdelsattar Ramadan Teaching assistant in Bioinformatics
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I am a Teaching Assistant and Research Assistant at Nile University, teaching for both postgraduate and undergraduate students. I graduated with an excellent degree (GPA: 4/4) from Nile University with a Bachelor's in Information Technology and Computer Science (Biomedical Informatics) and completed my Master's degree with the same distinction with an excellent degree (GPA: 4/4).
I am also a Bioinformatician/ Biostatistician/ Statistician/ Software Developer/ Medical Image Processing Expert.
I teach each topic comprehensively, ensuring that every student thoroughly understands the material. I am a dedicated and hardworking educator who strives to cover all aspects of the subject matter from start to finish. I teach each topic in a very detailed way, covering every concept from A to Z, and always ensure that every student fully understands the material.

Courses I teach:
Postgraduate (Master's, PhD, Diploma Students):
Statistical Analysis and Visualization (Biomedical Statistics)
Integrative Bioinformatics and Systems Biology
Computational Analysis for NGS Data (NGS1) (Applied Bioinformatics)
Selected Topics in Bioinformatics (NGS2)
Introduction to Bioinformatics
Metagenomics (16s rRNA Analysis)
Undergraduate (Bachelor's Students):
Applied Bioinformatics
Biomedical Statistics
Medical Image Informatics (Image Processing)
Clinical Informatics

Skills:
Programming Languages: R, Python, Bash, Linux, STATA, SPSS, C#, C++, HTML/CSS, Flutter/Dart (UI), SQL
Specializations:
Coding & Software Development
Statistics & Biostatistics
Bioinformatics & Medical Information Systems
Medical Image Processing & Medical Informatics
Metagenomics/Metagenetic (16s Analysis Expert)
Integrative Omics
Clinical Informatics & Health Informatics

Projects:
1. Applied Bioinformatics
Toolbox Aligner (Bash, Linux GUI): A script for bioinformatics tasks as pairwise and multiple sequence alignment using BLAST.
RNA Single Transcriptome Analysis for Alzheimer's Disease:
Quality Score Analysis, Pseudo Alignment, Functional Enrichment, Differential Expression, and Interpretation Analysis using Bash and R.
2. Biomedical Statistics
Biostatistics Project on Vaccination Effect:
Performed descriptive statistics, hypothesis testing, and modeling using R, STATA and SPSS to assess vaccination effects on piglets' weight gain.
Statistical Analysis and Visualization for Disease Prediction:
Analysis of clinical data to predict disease outcomes using Python (Pandas, Matplotlib, Seaborn) and R.
3. Medical Image Processing / Medical Image Informatics
DICOM Viewer Project:
A desktop application using Python and QT Designer to visualize axial, sagittal, and coronal DICOM images, including 3D reconstruction.
Skin Disease Detection Application:
Built using Flutter for UI integration with a deep learning model for skin disease classification.
CT/MRI Image Segmentation Using Deep Learning:
Developed segmentation models using U-Net and CNNs for medical image analysis.
4. Clinical Informatics and Health Informatics
Personal Health Monitoring Application:
A Flutter application that monitors blood pressure, temperature, and heartbeats, analyzing the data for abnormal values.
Dashboard for Mersal Foundation:
Designed and implemented a dashboard using HTML/CSS for data visualization and machine learning for financial aid prediction.
5. Computational Analysis for NGS Data (NGS1) (Integrative, Applied Bioinformatics & Metagenomics)
Metagenomics Analysis (16s rRNA Analysis):
Pipeline development for 16s rRNA sequencing analysis including quality control, taxonomic classification, and diversity analysis.
RNA-Seq Analysis for Differential Gene Expression:
Pipeline for RNA-Seq data analysis using Bash and R with tools like DESeq2 and EdgeR.
6. Integrative Bioinformatics and Systems Biology
Multi-Omics Data Integration for Disease Analysis:
Integrating genomics, transcriptomics, and proteomics data for biomarker discovery and disease mechanism analysis.
Pathway Analysis and Gene Set Enrichment:
Analysis of gene expression datasets for pathway enrichment using R and Bioconductor packages.
7. Software Development and UI Design
Al-Farida Store E-commerce Application:
Flutter application with modern UI and animation for an e-commerce platform in Saudi Arabia.
Graduation Project - Prediction Dashboard for Mersal Foundation:
Implemented UI using HTML/CSS and integrated a machine learning model for decision-making.

Scientific Publications:
Published research papers in Bioinformatics, Medical Image Processing, Biomedical Statistics, Deep-learning and Integrative Omics.
Specific topics include:
Brain Tumor MRI Images Classification Using Fine-tuned Deep Learning Models
Statistical Analysis in Clinical Data for Predictive Modeling
Toolbox aligner for bioinformatics tasks in one automated pipeline
Metagenomics and Microbiome Analysis
RNA Single Transcriptome Analysis for Alzheimer's Disease
Machine Learning for Medical Image Segmentation and Disease Prediction

Professional Qualities:
Comprehensive Teaching Approach: I ensure that every student thoroughly understands each topic by teaching in a detailed manner, covering all concepts from A to Z.
Commitment to Excellence: I am dedicated to delivering high-quality education and mentoring students to achieve academic and research excellence.
Research and Development: Continuously engage in research projects across various domains to contribute to scientific knowledge and innovation.

Subjects

  • Biology Doctorate/PhD

  • Bioinformatics Masters/Postgraduate

  • R (Programming) Expert

  • Database Beginner-Expert

  • R Statistics Expert

  • Biostatistics Expert

  • RNA-seq Expert

  • Bioinformatics Datasets Visualization Masters/Postgraduate

  • Next Generation Sequencing Expert

  • STATA and SPSS Expert

Experience

  • Teaching and Research Assistant in Bioinformatics for Postgraduates/Undergraduates (Sep, 2022–Present) at Nile University Egypt
    Teaching assistant at Nile University for both postgraduate and undergraduate students
    Teaching the following courses at Master (for Master |PHD |Diploma students):
    Statistical Analysis and Visualization (Biomedical Statistics)
    Integrative Bioinformatics and Systems Biology
    Computational Analysis for NGS Data (NGS1) (Applied Bioinformatics)
    Selected Topics in Bioinformatics (NGS2)
    Introduction to Bioinformatics
    Metagenomics (16s rRNA Analysis)
    Teaching the following courses at Bachelor (undergrad students):
    Applied Bioinformatics
    Biomedical Statistics
    Medical Image Informatics (Image Processing)
    Clinical Informatics
    Skills for Teaching Assistant at Nile University:
    R (Programming Language)
    Python
    Bash
    Linux
    C#
    C++
    HTML/CSS
    Flutter/Dart (UI)
    SQL
    Coding
    Statistics
    Biostatistics
    Bioinformatics
    Medical Information Systems
    Medical Image Processing/ Medical Informatics / Medical Imaging / Image processing
    Metagenomics/Metagenetic (16s Analysis Expert)
    Integrative omics
    Clinical Informatics
    Health Informatics

Education

  • Biomedical Informatics / Information technology and computer science (Sep, 2022–Sep, 2024) from Nile University Egypt–scored 4/4

Fee details

    £60–100/hour (US$1.15–1.91/hour)

    Based on the workload

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