Chemical & Biomolecular Engineer · Systems Engineer · Computational Scientist

Different systems. The same curiosity.

Biology generates massive amounts of data. The challenge isn't just collecting it; it's knowing what it means and what to do next.

I came to biological modeling through chemical engineering and process control. The systems changed, but the mindset remained: map the interactions, test the assumptions, and design a useful intervention.

Today, I build the AI and computational frameworks that act as the bridge between raw biological data and engineered solutions. I run virtual experiments to decode the system, turning wet-lab data into actionable, predictive blueprints.

Why systems engineer?

I use systems engineering as an organizing description of my approach: understanding interactions, linking measurements to models, testing assumptions, and designing useful interventions. My formal training is in chemical and biomolecular engineering.

That does not mean every system is interchangeable. Biological interpretation, instrument behavior, and industrial control each demand their own domain knowledge. The value is in bringing a disciplined modeling approach to those differences.

Abraham Osinuga

Core Competencies

Systems Biology

  • Genome-Scale Metabolic Modeling
  • Flux Balance Analysis
  • Multi-omics Integration
  • Microbial Community Dynamics

Advanced Process Control

  • Model Predictive Control
  • Process Dynamics
  • PID Tuning & Optimization
  • Industrial Automation

Scientific AI

  • Physics-Informed Neural Networks
  • Machine Learning for Biomarkers
  • Predictive Modeling
  • Time-Series Forecasting

Software & Systems

  • Python, MATLAB, C++
  • High-Performance Computing
  • Agile Software Development
  • Cloud Infrastructure
CatRange
PNAS Nexus 2026

CatRange

Predicting enzyme variant kinetic regimes to support enzyme screening and engineering.

r-DMFA
iScience 2024

r-DMFA

Regularized Dynamic Metabolic Flux Analysis for inferring dynamic metabolic profiles from sparse time-series measurements.

CorePredX
mSystems 2026

CorePredX

Learning proteome-encoded growth determinants in Rhodopseudomonas palustris across lignin-derived aromatic substrates.

The Value Proposition

Translating complex systems into tractable models and actionable insights.

Systems Architecture

Holistic Systems Architecture

Building integrated frameworks that map and analyze complex biological and chemical interactions, from cellular metabolism to ecosystem dynamics.

Digital Twins

Digital Twins

Developing predictive computational replicas of physical and biological processes to run virtual experiments and optimize outcomes without empirical cost.

Precision Control

Precision Control

Applying advanced control theory and process dynamics to stabilize, direct, and optimize system behaviors under uncertainty.

Graduate Research Assistant

2022 — Present

University of Nebraska–Lincoln | Lincoln, NE, USA

Scientific Software Developer

2020 — 2023

TecGroup GmbH | Germany (Remote)

Process & Compliance Lead

2020 — 2021

Savannah Food Hub | Nigeria

Research Assistant

2020 — 2021

Kyungpook National University | South Korea

Life, Leadership & Global Moments

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Research & citation record
Papers & conference contributions
Contributing to research & community
Countries in my journey

Ph.D. in Chemical and Biomolecular Engineering · Expected May 2027