Hi, I'm Tobi Adejumo
Translating complex technology into strategic impact. I combine deep technical expertise in AI and biomedical systems with data-driven strategy to drive innovation and operational excellence.
Engineer. Researcher. Innovator.
I bridge the gap between cutting-edge AI and real-world healthcare impact. With a PhD in Biomedical Engineering and expertise spanning software development, medical devices, and strategic consulting, I transform complex challenges into innovative solutions.
Strategy & Operations
Driving data-driven decision making, optimizing clinical operations, and leading strategic initiatives across healthcare and technology ventures.
AI & Automation
Building intelligent systems with Claude API, LLMs, and deep learning to transform healthcare diagnostics and automation workflows.
Research Excellence
20+ publications, 335+ citations, and pioneering research in retinal imaging and neurodegenerative disease detection.
Full-Stack Engineering
Python, MATLAB, R, Java, C++, SQL - from medical device firmware to production ML pipelines and web applications.
MedTech Innovation
FDA-compliant medical devices, GMP standards, and AI-driven diagnostics improving patient outcomes for millions.
Leadership & Impact
Founded organizations, led cross-functional teams, and mentored the next generation of researchers and engineers.
Advancing global health equity through biomedical research, innovative diagnostics, and AI-driven solutions.
My mission as a researcher, engineer, and innovator
Professional Journey
From research labs to AI startups, my career bridges innovation, technology, and healthcare impact.
AI Automation Engineer
Phlow AI
Remote
- Building next-generation AI automation systems and intelligent workflows
- Integrating Claude API and LLMs to create sophisticated automation pipelines
- Developing scalable solutions for enterprise AI deployment
Consultant
Consulting Club at Texas Medical Center
Remote
- Led data-driven analyses to optimize clinical trial processes and inform regulatory strategy
- Directed cross-functional teams to improve operational execution and strategic alignment
Research Engineer
Lions of Illinois Eye Research Institute
Chicago, IL
- Designed and validated clinical imaging systems with GMP and FDA compliance
- Led cross-functional teams improving project efficiency by 50%
- Published 20+ peer-reviewed papers advancing retinal disease diagnostics
- Secured over $1M in grant funding for research initiatives
PhD in Biomedical Engineering
University of Illinois Chicago
Chicago, IL
- Thesis: Quantitative Analysis of Retinal Neurovasculature
- Designed and built medical imaging systems integrating hardware and software
- Developed AI algorithms for retinal disease detection and diagnostics
- Published 20+ peer-reviewed papers advancing ophthalmic imaging
Research Specialist
Emory University & Indiana University
Atlanta, GA / Bloomington, IN
- Published systematic review of GANs for medical imaging (187+ citations)
- Developed deep learning models achieving 91% activity classification accuracy
- Built computational pipelines improving data processing efficiency
Publications & Research
Advancing healthcare through rigorous research in medical imaging, AI diagnostics, and ophthalmic technologies.
Published In
AI & Deep Learning
Developing AI algorithms and neural networks to automate medical image analysis and improve diagnostic accuracy
Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation
Comprehensive review analyzing how GANs revolutionize medical imaging by generating synthetic training data and improving segmentation accuracy for clinical diagnostics.
Deep learning-based optical coherence tomography angiography image construction using spatial vascular connectivity network
Novel deep learning approach that reconstructs high-quality OCTA images from OCT data, reducing scan time while maintaining vascular detail for retinal disease assessment.
ADC-net: an open-source deep learning network for automated dispersion compensation in optical coherence tomography
Open-source neural network that automatically corrects optical dispersion artifacts in OCT images, improving image clarity for clinical interpretation.
Medical Imaging Systems
Designing imaging tools and analysis software for OCT/OCTA systems in clinical and research applications
OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography
Developed an open-source software toolbox for automated retinal vessel analysis in OCTA, enabling standardized quantification of vascular biomarkers for clinical research.
Adaptive vessel tracing and segmentation in OCT enables the robust detection of wall-to-lumen ratio abnormalities in 5xFAD mice
Developed adaptive vessel tracing algorithms for OCT to quantify retinal vascular wall-to-lumen ratios, enabling early detection of Alzheimer's-related vascular changes.
Retinal Imaging & OCT
Advancing optical coherence tomography techniques for earlier detection of retinal diseases and vascular abnormalities
Depth-resolved vascular profile features for artery-vein classification in OCT and OCT angiography of human retina
Novel method for automatically distinguishing retinal arteries from veins using depth-resolved OCT features, enabling better assessment of vascular diseases like diabetic retinopathy.
Functional Imaging
Developing techniques to measure real-time retinal function and photoreceptor activity for early disease detection
Intrinsic signal optoretinography revealing AD-induced retinal photoreceptor hyperexcitability before a detectable morphological abnormality
Novel optoretinography technique that detects photoreceptor hyperexcitability in Alzheimer's disease models before visible structural changes, enabling earlier diagnosis.
Technical Expertise
A unique blend of computer science, biomedical engineering, and strategic leadership capabilities.
Tools & Technologies
Professional Affiliations
Let's Connect
Whether you're interested in collaboration, consulting, or exploring opportunities, I'd love to hear from you.
Open to opportunities in MedTech, AI/Automation, Strategy & Operations, and Research roles.
Ready to start a conversation?
I'm always excited to discuss new projects, research collaborations, or opportunities in healthcare innovation.
Send me an email