Research and Academic Profile

Research Interests

• Machine learning for medicine, particularly for drug therapeutic applications
• Generative modeling using deep learning architectures for image reconstruction and manipulation
• Bayesian modelling, statistical inference, efficient sampling
• Computational models with latent variables to capture disease processes
• Causal machine learning for genomic sequence analysis

Education

• 2023 – 2024: MSc in Bioinformatics, Indiana University Indianapolis
  Advisors: Yan Jingwen, Wang Juexin
  Research Focus: Dimension-agnostic and Granularity-based spatial variable gene identification using BSP
• 2019 – 2022: MSc in Computer Science, University of Ibadan, Nigeria
  Thesis: Prediction of Genomic Signature of NGS Sequences and Comparative Drug-Likeness
  Supervisor: Dr. Makolo Angela
  Research Focus: Bayesian latent-variable models, machine learning, disease progression modeling
• 2003 – 2008: BTech in Computer Engineering, Ladoke Akintola University, Ogbomoso, Nigeria
  Graduated: Second Class Honours (Top 10%)
  Thesis: Developing medical software for patient treatment – Telemedicine
  Supervisor: Prof. Oladosu

Professional Experience

• 2023 – 2024: Graduate Research Assistant, Indiana University
  Worked on development of EMB model for Alzheimer’s disease progression.
• 2016 – 2022: Lecturer in Computer Software Development Modelling, Federal School of Statistics
  Taught software modeling, mobile app development, cloud computing, databases, and optimization.
• 2012 – 2016: Data Analyst Supervisor, National Bureau of Statistics, Nigeria
  Designed analytics dashboards using SQL Server.
• 2009: Teaching Assistant, Federal Technical College, Lassa
  Taught programming languages (Haskell, Java, C) to high school students.

Awards & Certifications

• Runner-up, 3 Minute Thesis Competition – PFP Conference (2023)
• Certified Associate Python Programmer (PCAP) – 2024
• Microsoft Power BI Data Analyst – 2024
• Hashanalytic Data Analytics Internship – 2020
• Bioinformatics (IBT) Certification – 2019

Other Activities

• Ambassador for Bioinformatics Department representing international students (2023–24)
• University Police Cadet – Medical emergency responder and campus security officer (2023–24)
• Young Researcher Representative – BPDA Conference, Atlanta (2023–24)

Selected Publications

• 2024:
  • Ajiboye, F. S., Biwalkar, S., Isla, A. – Identifying Novel Therapeutic Targets for Sickle Cell Disease.
  • Ajiboye, F. S. – Advances in Personalized Medical Therapeutics: Leveraging Genomics.
  • Ajiboye, F. S. – Machine Learning in Regulatory Frameworks for Medical Therapeutics.
  • Ajiboye, F. S. – “Food Click Technology” (Conference Presentation).
• 2023:
  • Ajiboye, F. S., & Chin, W. – Identification of Differentially Expressed RNA-Seq Genes Using Computational Pipelines.
  • Ajiboye, F. S., & Makolo, A. U. – Prediction of Genomic Signature and Comparative Drug-Likeness.