Akinjide Anifowose – Research Analyst

HELLO
MY NAME IS
AKINJIDE ANIFOWOSE

Biomedical Informatics | Machine Learning | High Throughput Techniques | Artificial Intelligence
Founder | STEMtribe Africa

ABOUT ME

My research centers on decoding how pathogens interact with their hosts at the molecular and genomic levels. I focus on host–pathogen genomics, molecular parasitology, and computational biology to uncover how immune responses, pathogen evolution, and genomic adaptation shape infectious disease outcomes.

By combining wet-lab molecular techniques with bioinformatics, multi-omics analyses, and data-driven computational approaches, I bridge experimental and computational science to advance diagnostics, identify therapeutic targets, and contribute to global health innovation.

MY ACHIEVEMENTS

Quantifiable proof of my expertise, dedication, and professional growth over the years.

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Years of Experience

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Certificates Earned

MY PUBLICATIONS

My research contributions span parasitology, molecular biology, and bioinformatics, focusing on infectious disease diagnostics, vector control, and genomic data analysis. The following publications reflect my commitment to applying both experimental and computational approaches to address public health challenges in tropical medicine.

Published Paper
Omitola, O. O., Umunnakwe, C. U., Bayegun, A. A., Anifowose, S. A., Mogaji, H. O., Oluwole, A. S., Odoemene, S. N., Awolola, T. S., Osipitan, A. A., Sam-Wobo, S. O., & Ekpo, U. F. (2021)

Impacts of ivermectin mass drug administration for onchocerciasis on mosquito populations of Ogun State, Nigeria.

Risk factors for HPV abstract concept vector illustration.

In-view
Anifowose, A. S., Adeyemo, T. M., & Thomas, O. (2025)

Comparative Diagnostic Performance of Microscopy and PCR for Detecting Submicroscopic Plasmodium falciparum Infections.

MY LATEST WORK

Below are highlights of my recent research activities, publications, and ongoing projects exploring the intersection of genomics, computational biology, and infectious disease research

Research Interest:

Host–pathogen interactions and immune pathway evolution
Comparative genomics and molecular evolution
Transcriptomics and proteomics data integration
Machine learning applications in infectious disease research
Computational modeling and pangenome analysis
Global health and translational medicine.

Postgraduate Research Scientist (Emma Briggs Lab), Newcastle University, UK

This research provides critical insights into the molecular mechanisms governing trypanosome biology, helping to understand how these parasites adapt, replicate, and evade host immune responses.

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Research Scientist (HackBio Internship, Remote)

This research bridges computational modeling and biomedical research to create scalable, data-driven solutions for health science. The integration of bioinformatics, machine learning...

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Bench Work, Inqaba Biotech – Africa’s Genomic Company

The primary goal of this project was to apply molecular biology techniques to study the genetic expression profiles of malaria parasites and validate the quality and accuracy of the generated data through...

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Graduate Research Student, Federal University of Agriculture, Abeokuta, Nigeria

The main goal of the study was to assess the current status of Lymphatic Filariasis transmission and to identify environmental and behavioral determinants influencing..

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Principal Investigator, Royal Society of Tropical Medicine and Hygiene, UK

Identified significant associations between STH infection rates and inadequate sanitation, poor hygiene practices, and low awareness levels. Revealed a correlation between helminth infection and nutritional deficits...

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Research/Teaching Assistant, Information and Computer Technology, Lead City University, Nigeria

This experience played a crucial role in fostering a data-driven academic culture at Lead City University, aligning ICT education with the growing demand for computational...

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ABOUT MY SKILLS

Core Technical Skills

Hands-on expertise in molecular and cellular biology techniques — bridging experimental science with real-world biomedical applications.

Molecular Biology Techniques (DNA/RNA extraction, qPCR, Gel Electrophoresis, Sequencing)

Bioinformatics & Genomic Data Analysis

Multi-Omics Data Integration (Proteomics, Transcriptomics)

Microscopy & Image Analysis (Fluorescent, High-throughput)

Entomology & Vector Surveillance

Computer and Analytical Skills

Transforming complex biological data into meaningful insights through coding, automation, and machine learning.

R Programming

Python

Bash Scripting & Workflow Automation

Machine Learning & Predictive Modeling

Statistical Analysis

Published Book on Amazon

The Cellular Revolution: From Basic Biology to Programmable Medicine

Just as the Industrial Revolution transformed economies and the Digital Revolution reshaped communication, the Cellular Revolution is redefining life itself. Biology is no longer just about understanding what life is—it’s about engineering what life could become.

In this engaging and accessible exploration, Akinjide Samuel Anifowose takes readers on a journey from the fundamental cellular level to the complexity of the human system, revealing how every discovery at the microscopic scale shapes the future of health and medicine.

Through clear explanations and thought-provoking insights, the book connects molecular biology, cell theory, genetics, and physiology to paint a comprehensive picture of how cells build tissues, organs, and entire organisms.

Whether you’re a student of biology, a medical professional, or simply curious about the science of life, The Cellular Revolution offers a fascinating look at how modern biology is moving from discovery to design—from understanding cells to programming them for tomorrow’s medicine.

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The Cellular Revolution: From Basic Biology to Programmable Medicine