CV

Curriculum Vitae

A summary of my experience and training. The full CV is available as a PDF.

Download CV (PDF)

Experience

1. Dec 2025 – Present

   Associate Manager, Genomics & Health Data Mining

   Regeneron Genetics Center

   Statistical genetics and machine learning for target discovery: association testing, fine-mapping and colocalization across large exome and proteomics cohorts, phenome-wide analyses for efficacy and safety, and portfolio-level views of the human genetic evidence behind targets across therapeutic areas.

2. Summer 2025

   PhD Intern, Neuroscience & Ophthalmology TA Genetics

   Regeneron Genetics Center

   Worked on linking GWAS loci to drug-response mechanisms in the Tahoe-100M single-cell perturbation atlas, asking how germline variants shape cellular responses to pharmacological intervention.

3. 2020 – 2025

   Graduate Researcher, Computational Biophysics & Neurobiology

   University of South Florida · Ullah Lab

   Built biophysical models of presynaptic Ca²⁺ signaling and single-cell multi-omics pipelines to map cell-type-specific mechanisms of synaptic dysfunction in Alzheimer's disease. Led the lab's genomics subgroup and mentored three trainees.

4. Summer 2022

   Research Intern, Human Multi-omics

   Cajal Neuroscience

   Developed interpretable deep-learning pipelines (scArches / expiMAP) for reference mapping of single-cell data, informing target prioritization for Alzheimer's and Parkinson's disease programs.

5. 2021 – 2022

   Bioinformatics Research Student

   University of South Florida · Uversky Lab

   Studied intrinsic protein disorder in Ebola and Marburg virus proteins and its implications for virulence.

Education

1. 2019 – 2025

   PhD, Applied Physics

   University of South Florida

   Computational Biophysics & Neurobiology

2. 2019 – 2023

   MSc, Applied Physics

   University of South Florida

3. 2012 – 2017

   BSc, Applied Physics (Electronics)

   University of Lagos

   First Class Honours · Best Graduating Student

Honors

• Trainee Professional Development Award, Society for Neuroscience, 2024
• Best Graduating Student, BSc Applied Physics, University of Lagos, 2017

Toolkit

Languages

Python, R, Bash, SQL, MATLAB, Fortran

Statistical genetics

Common and rare-variant association (GWAS, exome burden), LD, fine-mapping, colocalization, PheWAS

Genomics

scanpy, scvi-tools, scArches, scVelo, hdWGCNA, SCENIC+, ArchR, squidpy, GSVA

Machine learning

PyTorch, TensorFlow/Keras, scikit-learn, statsmodels

Modeling

ODE/stochastic biophysical models, network biology, statistical modeling

Compute

HPC, CUDA, mpi4py, AWS SageMaker, GCP, Terra, Docker, Git