Alex Anyaegbunam

Angestellt, Postdoctoral Research Fellow (Bioinformatics data scientist), Universität Mainz

Mainz, Deutschland

Über mich

I am a Computational Biologist with a strong quantitative background gotten from my training in Physics (B.Sc), Applied Mathematics (M.Sc), and Computational Biology (Ph.D). My doctoral research involved the use of Regression analysis to construct an optimal mathematical model that will predict mutations in the cell cycle proteins potentially leading to the production of cancerous daughter cells. In particular, my regression algorithm uses a non-linear least square method for fitting model to data. The algorithm is implemented primarily in MATLAB and secondary tasks such as data preprocessing and result visualization are done in Python. Currently I'm doing a Postdoctoral research involving the building of Cardiovascular disease-Lipid database and Lipid-Protein database, using data mining.

Fähigkeiten und Kenntnisse

Data Analysis
Statistical Analysis
SQL
Database
Data Science
Research and Development
Machine Learning
Python
MatLab
Analytics
Mathematical Modeling

Werdegang

Berufserfahrung von Alex Anyaegbunam

  • Bis heute 3 Jahre und 6 Monate, seit Jan. 2021

    Postdoctoral Research Fellow (Bioinformatics data scientist)

    Universität Mainz

    • Data mining using MeSH qualifiers to curate an SQL database of Lipids and associated Cardiovascular diseases, and their source publication journals. • Statistical analysis of the curated database to find Lipids and Cardiovascular diseases with high associations using P-values. • Visualization of research trends in Lipids and Cardiovascular diseases using Matplot lib and seaborn library in Python.

  • 4 Jahre und 5 Monate, Aug. 2016 - Dez. 2020

    Doctoral researcher - Mathematical modeling of single cell responses

    Institute of Molecular Biology

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Grundlagen

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