Research

Exploring the intersection of computation, biology, and medicine — with a focus on neurodegenerative diseases and precision healthcare.

ALS & Neurodegenerative Diseases

Investigating the molecular mechanisms of Amyotrophic Lateral Sclerosis and related neurodegenerative conditions through data-driven approaches.

Computational Biology

Using computational methods to analyze biological data, from genomic sequences to protein structures, to understand the mechanisms of disease.

Precision Medicine

Developing approaches for tailored treatment strategies using multi-omics data integration, biomarker discovery, and patient stratification.

AI for Healthcare

Applying machine learning and deep learning to clinical data, medical imaging, and drug discovery to accelerate healthcare innovation.

Publications

Selected Publications

My published papers, preprints, and research contributions.

In silico Discovery of Small-Molecule Modulators of Differentially Expressed Genes Associated with Reduced Ataxin-2 Levels in an RTN4R Knockdown Model of Amyotrophic Lateral Sclerosis

Fatoki T.H., Akereja A.K., Akinyelu J., Balogun T.C., Ogunleye S.O., Oyebiyi O.R., Akerele B.O., and Jamiyu A. Saliu J.A.

Frontiers in System Biology·2026·Under Review Revision

Development of OTPD4ALS: A Specialized Database for Efficient Screening of Anti-Amyotrophic Lateral Sclerosis Drug Candidates

Ogunleye S.O., Adeyeye T.O., Aderibigbe I.E., Fatoki T.H.

Asian Journal of Research in Computer Science·2024

In Silico Investigation of Lipid-Based Compounds Implicated in Amyotrophic Lateral Sclerosis

Fatoki T.H., Saliu I.O., Balogun C.T., Oyebiyi R.O., Ogunleye S.O., et al.

Brain and Heart·2024
Questions

Driving Questions

The questions that guide my research curiosity and learning.

01

How can machine learning and multi-omics data be combined to improve our understanding of ALS and other neurodegenerative diseases?

02

Can AI-driven approaches uncover biomarkers that enable earlier diagnosis and more personalized treatment strategies?

03

How can interpretable machine learning models support clinical decision-making while maintaining trust and transparency?

04

What insights can large biological and protein foundation models provide for drug discovery and target identification?

05

How can computational methods accelerate the translation of biological data into actionable healthcare outcomes?

Reading

Reading List

Key books, papers, and reviews shaping my understanding.

Deep Learning for the Life Sciences

Bharath Ramsundar et al.

AI & Science

The Psychology of Money

Morgan Housel

Finance

Atomic Habits

James Clear

Productivity

Attention Is All You Need

Vaswani et al.

AI Paper

Highly accurate protein structure prediction with AlphaFold

Jumper et al.

AI Paper