I build computational and statistical methods for human genomics — and I care that they work for the populations genomics has left out.

My doctoral research investigates how polymorphic natural killer cell receptors shape multiple sclerosis. The KIR genes are among the most variable in the genome and their structural complexity has kept them out of reach of genome-wide studies; I wrote PONG 2.0 to recover KIR alleles from the SNP data biobanks already hold.

I trained first as a statistician (B.Sc., M.Sc.) and taught probability and statistics for six years.

• Computational genomics
• Computational biology
• Statistical genetics
• Machine learning
• Statistical modeling
• Genotype imputation
• High-dimensional data
• Immunogenetics
• Multi-ancestry genomics
• Open-source scientific software

• PONG 2.0: allele imputation for the killer cell immunoglobulin-like receptorsFirst author

  Sadeeq SA, Leaton LA, Kichula KM, Farias TDJ, Font-Porterias N, Pollock NR, the Colorado Center for Personalized Medicine, Collora CE, Castelli EC, Gignoux CR, Norman PJ

  Human Molecular Genetics · 2026 · 35(17):ddag075 · doi:10.1093/hmg/ddag075 · PMID 42607289

• Uncovering hidden gene–trait patterns through biclustering analysis of the UK Biobank

  Pividori M, Sadeeq S, Krishnan A, Stranger BE, Gignoux C

  bioRxiv · 2024 · 2024.11.08.622657 · PMC11601405

• Archaic HLA class I receptor modulates natural killer cell driven immunity throughout Oceania

  Loh L, Saunders PM, Faoro C, et al. (incl. Sadeeq S)

  Cell · 2024

• SysBiolPGWAS: simplifying post-GWAS analysis through the use of computational technologies and integration of diverse omics datasets

  Falola O, Adam Y, Ajayi O, et al. (incl. Sadeeq S)

  Bioinformatics · 2023 · 39(1):btac791 · doi:10.1093/bioinformatics/btac791

• Polygenic risk score in African populations: progress and challenges

  Adam Y, Sadeeq S, Kumuthini J, et al.

  F1000Research · 2023 · 11:175 · doi:10.12688/f1000research.76218.2

• A review of evolutionary trends in cloud computing and applications to the healthcare ecosystem

  Molo MJ, Badejo JA, Adetiba E, et al. (incl. Sadeeq S)

  Applied Computational Intelligence and Soft Computing · 2021 · doi:10.1155/2021/1843671

Full list on Google Scholar.

• PONG 2.0

  Research software · 2026

  Imputes high-resolution KIR genotypes from SNP-array data using pre-trained multi-ancestry models. 92–99% accuracy, validated against targeted sequencing. Open source, GPL-3.0.

  • R
  • C++ / Rcpp
  • Shell
  • PLINK2

• kir-phla-fusion

  Research code · 2026

  Deep learning pipeline predicting KIR-HLA-peptide binding strength. ESM-2 embeddings with concatenation fusion to preserve receptor and ligand chain identity, trained on 3,321 binding measurements curated from primary tabulated sources. Beats both the prior published model's averaging approach and a biochemical baseline under leave-one-receptor-out cross-validation.

  • PyTorch
  • ESM-2
  • HuggingFace
  • Python
  • SLURM

• SysBiolPGWAS

  Research platform · 2020–2021

  Deployed platform for post-GWAS analysis across diverse omics datasets: annotation, imputation, eQTL colocalization, TWAS. Serves the African genomics community.

  • TypeScript
  • Python
  • Shell

• Biclustering TWAS

  Research code · contributor

  Biclustering of transcriptome-wide association results from PhenomeXcan, grouping genes and traits together to surface overlapping patterns that global clustering misses.

  • Python
  • Jupyter
  • pytask
  • conda-lock
  • TWAS

• Pseudobulk simulation for deconvolution

  Research code · 2023

  Preprocessing and pseudobulk simulation pipelines supporting evaluation of BuDDI, a variational autoencoder for bulk RNA-seq deconvolution. NNLS residual analysis to find missing cell types.

  • Python
  • scanpy
  • scikit-learn
  • SciPy
  • HPC

• Computer-Based Test Platform

  Desktop application · 2021

  Examination system with a candidate client for timed exams and an admin application for monitoring sessions in real time.

  • Python
  • PyQt5
  • SQL
  • JavaScript

• Graduate Research Assistant — Computational Genomics

  Norman Lab, Department of Biomedical Informatics — University of Colorado Anschutz

  August 2022 – Present

  Lead investigator on the role of polymorphic KIR in multiple sclerosis.

  • Wrote PONG 2.0 — an R package with C++ acceleration. 92–99% accuracy across five ancestry groups, validated in 267 independent samples, benchmarked in over 8,000 individuals.
  • Testing KIR–HLA receptor–ligand combinations for association with multiple sclerosis in the NIH All of Us Research Program (Controlled Tier CDR v9), pairing existing HLA genotypes with PONG 2.0-imputed KIR genotypes across an ancestrally diverse cohort.
  • Modelled gene–environment interactions on polygenic risk scores in REGARDS (30,239 participants, multi-ancestry).
  • Built simulation pipelines to evaluate deep generative models for RNA-seq deconvolution.
  • Mentor scholars in PATHways in Genomic Data Science (PATH-GDS) and PATH-GREU — NIH-funded programs training MS statistics students for genomic data science careers.

• Teaching Assistant

  Office of Research Education — University of Colorado Anschutz

  Fall 2024, Fall 2025

  Instructional materials, coursework assessment, and review sessions for graduate students.

• Research Assistant

  Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE), Nigeria

  January 2020 – September 2021

  • Co-developed SysBiolPGWAS, an open-source post-GWAS platform for the African genomics community.
  • Python and Bash pipelines for fine-mapping, polygenic risk scoring, and downstream GWAS analysis.
  • Led weekly lab meetings; contributed to grant writing.

• Lecturer, Computer Science

  Federal College of Agriculture Akure, Nigeria

  September 2016 – August 2022

  • Taught probability and statistics, and advanced engineering mathematics.
  • Led a three-person team building the institution's web application and results software.
  • Supervised undergraduate research projects.

• Ph.D., Human Medical Genetics and Genomics

  University of Colorado Anschutz Medical Campus

  Expected December 2026

  Mentors: Dr. Paul Norman and Dr. Christopher Gignoux.

• M.Sc., Statistics

  University of Ilorin, Nigeria

• B.Sc., Statistics

  University of Ilorin, Nigeria

• Conference presentations

  ASHI, Orlando (2025) · European Federation for Immunogenetics, Prague (2025) · KIR Polymorphism Workshop, Colorado (2025) · ASHG, Denver (2024)

• Peer review

  Scientific Reports (Springer Nature), 2025 · American Society for Histocompatibility and Immunogenetics (2025) · University of Denver RaCAS (2025)

• Training

  ASHI Educational Workshop, Austin (2026) — ACHI-approved, 12.75 contact hours · Computational Genomics Summer Institute, UCLA (2024).

• Mentoring

  PATHways in Genomic Data Science (PATH-GDS) and PATH-GREU, University of Colorado · Clear Direction Mentoring — career development for STEM professionals.

• Memberships

  ASHG · British Society for Immunology · Society for Immune Polymorphism · ACTRIMS · H3Africa