Abraham Osinuga

Chemical engineer and computational scientist working across process systems engineering, computational biology, machine learning, mechanistic modeling, and digital scientific research.

Primary contact

Lincoln, Nebraska, USA

+1 (703) 340-7655

[email protected]

[email protected]

Profiles

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GitHub

GitLab

Lab profile

Profile Snapshot

Chemical engineer and computational scientist with interdisciplinary experience spanning process systems engineering, systems biology, machine learning, mechanistic modeling, control, and quantitative scientific software. Work across academic, industrial, and contract settings has combined first-principles modeling, data-driven methods, multi-omics integration, enzyme kinetics prediction, and high-performance computing to solve challenging problems in process engineering, agriculture, bioengineering, and biomedical systems.

Passionate about future technology development and relentlessly solution-driven toward challenges and improvements in modern engineering and the process industry. There is always a problem to solve or something to improve, and nothing beats overcoming that challenge. Brings a strong record of building rigorous models, scalable analytical pipelines, and decision-support tools that turn complex data and dynamic systems into actionable scientific and engineering insight.

Research And Domain Interests

Education

University of Nebraska-Lincoln
Ph.D., Chemical and Biomolecular Engineering | Expected May 2027 | Advisor: Rajib Saha
  • Graduate Research Assistant in the Systems and Synthetic Biology Laboratory under Rajib Saha.
  • Research themes include dynamic metabolic modeling, multi-omics integration, enzyme kinetics prediction, infection and host-response modeling, and systems-level interpretation of biological data.
University of Nebraska-Lincoln
M.S., Chemical Engineering | August 2024
  • Master's thesis: Dynamic Metabolic Flux Analysis Amidst Data Variability: Sphingolipid Biosynthesis Case Study in Arabidopsis thaliana Cell Cultures.
  • Successfully defended in July 2024.
Obafemi Awolowo University, Ile-Ife, Nigeria
B.Sc., Chemical Engineering, Summa Cum Laude | February 2020
  • Graduated in 2020 with undergraduate research experience in the Process Systems Engineering Laboratory, progressing from laboratory trainee to Research Assistant and Teaching Assistant roles.
  • Undergraduate work included modeling, control, and instrumentation with MATLAB / Simulink and microcontroller-based direct digital control.

Appointments And Professional Experience

Graduate Research Assistant, Systems and Synthetic Biology Laboratory (SSBio), University of Nebraska-Lincoln
January 2022 - Present | Lincoln, Nebraska, USA
  • Build and deploy multi-omic integration frameworks combining bulk and single-cell transcriptomics, proteomics, and metabolomics into genome-scale and kinetic models, accelerating hypothesis generation across multiple active research projects.
  • Built scalable data pipelines for high-dimensional biological datasets in Python, Bash, and HPC environments, enabling biomarker discovery, therapeutic pathway analysis, and reproducible computational-experimental validation with wet-lab collaborators.
  • Deployed and fine-tuned transformer-based and deep-learning AI / ML pipelines, including protein language models, BERT-style architectures, and multi-task ensembles, to predict enzyme kinetics and characterize metabolic pathways.
  • Developed and applied genome-scale metabolic models and dynamic flux-analysis frameworks to decode regulatory mechanisms in cancer, plant biology, and infectious-disease systems, producing peer-reviewed publications and preprints.
  • Translated computational findings into presentations at national and international conferences and authored publications spanning systems biology and AI-driven bioengineering.
  • Mentored graduate and undergraduate researchers in mechanistic modeling, AI-driven frameworks, and high-performance computing.
Process, Systems, and Compliance Lead, Savannah Food Hub International Limited
November 2020 - December 2021 | Vandeikya, Benue, Nigeria
  • Led process systems, operations, and compliance activities across agricultural programs.
  • Aligned workflows with environmental, operational, and regulatory standards.
  • Introduced AI-enabled and data-driven approaches to strengthen planning, resilience, systems coordination, and operational decision support.
  • Managed documentation, stakeholder coordination, and continuous improvement activities across field and process operations.
Research Assistant (part-time), Smart Agriculture Innovation Center, Kyungpook National University
October 2020 - December 2021 | Republic of Korea
  • Worked within an international research team spanning Korea, the United States, and the United Kingdom to apply intelligent tools to agriculture for more sustainable farmer productivity.
  • Used Python and MATLAB to develop a robust optimal sensor-placement algorithm for a closed cultivation system, explicitly accommodating uncertainty in greenhouse data and operations.
  • Built a modified ensemble machine-learning workflow on actual greenhouse data and contributed to a peer-reviewed publication in Computers and Electronics in Agriculture.
  • Also worked on feature selection, clustering, neighborhood component analysis, and related AI / IoT modeling tasks for controlled-environment agriculture.
Quality Control Laboratory Analyst, Forte Oil Plc (now Ardova Plc)
Industrial Training (SIWES), November 9, 2018 - April 3, 2019 | Ijora, Apapa, Lagos, Nigeria
  • Performed quality control and recertification analyses on fuels, base oils, additives, and finished lubricants to support safe receipt, storage, blending, and release decisions in downstream petroleum operations.
  • Supported certification of imported fuel products by comparing in-house laboratory results with supplier Certificates of Quality and third-party inspection reports before tank receipt and downstream dispatch.
  • Worked across the laboratory, tank farm, terminal, and lube blending workflow, with documented exposure to product receipt, underground transfer, storage recertification, pilot blending, and release control.
  • Applied or supported ASTM-aligned testing across density / specific gravity, distillation, flash point, kinematic viscosity, water content, elemental analysis, cold-cranking, foaming, corrosion, demulsibility, and related petroleum-quality methods.
  • Operated within HSEQ-driven procedures covering SPSA / procedural safety, controlled sample handling, result reporting, and certificate generation.
Laboratory Trainee, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University
2016 - 2017 | Ile-Ife, Nigeria
  • Worked as part of a team using computer-assisted methods and models to design, control, and optimize process systems, with laboratory-scale plants used for real-time implementation.
  • Obtained dynamic model equations and designed controllers to meet desired specifications for systems including air separation units, CSTRs, and gravity-flow nonlinear multi-tank systems.
  • Built early depth in modeling, process control, and controller-testing workflows using small-scale experimental process systems.
Research Assistant / Teaching Assistant, Process Systems Engineering Laboratory, Department of Chemical Engineering, Obafemi Awolowo University
January 2018 - October 2020 | Ile-Ife, Nigeria
  • Conducted research and assisted with real-time experimentation of control theories and algorithms on small-scale laboratory rigs, with emphasis on system identification and controller development for nonlinear multivariable process systems.
  • Designed, fabricated, and interfaced a cascaded three-tank system with an Arm-Cortex processor for direct digital control using pumps, sensors, and actuators.
  • Implemented classical and modern control methods including decoupling and robust control, nonlinear model predictive control and variants such as moving horizon estimation, extended Kalman filtering, adaptive and offset-correcting schemes, quasi-infinite-horizon NMPC, dynamic neural MPC, and economic MPC.
  • Built ANN-based predictive-control models for real-time control of the tank system and obtained strong experimental performance.
  • Used MATLAB / Simulink, Mathematica, and Aspen engineering tools for modeling, controller computation, and experimental workflow support.
  • After graduation, tutored undergraduate students in Process Dynamics and Control and provided hands-on training in MATLAB / Simulink and microcontroller-based direct digital control for student projects.

Consulting, Freelance, And Writing Experience

Independent Tutor - Mathematics, Modeling, and Chemical Engineering
Self-Employed | 2016 - 2019
  • Taught advanced undergraduate topics in mathematics and chemical engineering through private tutoring and academic support sessions.
  • Covered subjects including advanced calculus, mathematical methods, statics, thermodynamics, transport phenomena, reaction engineering, process control, process optimization, and process design.
  • Guided students through derivations, quantitative problem solving, and engineering applications using structured worked solutions and concept-based teaching.
Independent Contractor - Scientific Software Developer / Research Software Engineer, TecGroup GmbH (HEKA Exporter)
August 2020 - March 2023 | Remote
  • Worked directly with the former CEO and a Senior Consultant on a scientific software project for extracting HEKA / PatchMaster electrophysiology and hERG experimental data into structured CSV outputs.
  • Contributed to a MATLAB-based standalone application distributed through MATLAB Runtime for end-user execution and export workflows.
  • Worked with proprietary binary data structures including PatchMaster bundle headers, trace records, metadata subfiles, interleaving logic, and raw-to-physical-unit signal scaling.
  • Supported development and debugging of importer and export workflows for heterogeneous assay files, resolving indexing, file-import, segmentation, and output-consistency issues.
  • Performed validation and QA of exported outputs to improve the reliability of downstream scientific analysis and reporting workflows.
Independent Contractor - Thermal Systems Modeling & Control Developer
Self-Employed | July 2020 - August 2021
  • Collaborated with a software / control engineer on a MATLAB / Simulink-based thermal-systems modeling and control project involving a plate heat exchanger, mixing process, DUT thermal loads, and temperature sensing.
  • Developed nonlinear and linearized dynamic models using first-principles energy balances, operating-point analysis, and transfer-function development.
  • Built an integrated control-oriented model for outlet-temperature regulation by combining heat exchanger, mixing, DUT, and sensor dynamics.
  • Applied IMC-based PID control design and supported simulation-based evaluation of closed-loop temperature-control performance.
  • Contributed to a simulation-driven engineering workflow for thermal process modeling, control analysis, and dynamic-response validation.
Freelance Quantitative Technical Support - MATLAB, Engineering Analysis, and Statistics
Self-Employed | 2020 - 2021
  • Delivered short-form freelance support on MATLAB-based and math-heavy analytical tasks spanning numerical methods, engineering mechanics, finite element concepts, multivariate statistics, and spreadsheet-based modeling.
  • Worked repeatedly with MATLAB-centered problems involving matrix methods, beam and vibration-style calculations, scripting, and engineering computation.
  • Supported quantitative analysis tasks involving clustering, PCA / SVD-style reasoning, covariance interpretation, and applied data-analysis workflows.
  • Used Excel and spreadsheet inputs for calculation support, structured data handling, and decision-model style problem solving.
  • Built a broad foundation in fast-turn technical problem interpretation, computational reasoning, and quantitative communication.
Contributing writer, Merican Times
2019
  • Wrote news and opinion pieces for an undergraduate publication during undergraduate studies.
  • Contributed written articles on campus and general-interest topics, developing concise writing, audience-aware communication, and deadline-based content-production skills.
  • Gained early editorial experience through researching, drafting, and refining publishable written pieces.

Selected Research, Engineering Projects, Platforms, And Code

Monochlorobenzene plant design capstone
Process Design I & II, Obafemi Awolowo University | March 2020
  • Designed a continuous plant for 20,000 tonnes/year of monochlorobenzene and about 2,000 tonnes/year of dichlorobenzene from direct chlorination of benzene.
  • Completed route selection, process description, Aspen HYSYS-based flowsheeting, PFD / P&ID work, mass and energy balances, and duty calculations for reactors, columns, pumps, compressors, washer, decanter, and heat exchangers.
  • Performed chemical and mechanical design calculations including distillation staging, flooding checks, weir design, shell thickness, skirt design, material selection, and plant layout.
  • Developed an instrumentation and control scheme using PID-regulated temperature, pressure, and level control, with explicit sensor and valve considerations tied to process safety.
  • Included startup, shutdown, emergency, and profitability analysis in the design package; the report records a positive projected net-profit case under its assumptions.
Team Lead, AIChE Chemical Engineering for Good Challenge - Utilizing Biogas Generation: A Sustainable Means for Power Generation in Rural Communities
Obafemi Awolowo University | 2021
  • Led a student engineering project focused on community-scale biogas generation for rural electrification using animal and plant waste as feedstock.
  • Developed a concept for a fixed-dome anaerobic digester integrated with a microturbine-based power-generation system for an off-grid Nigerian farming community.
  • Built and simulated a four-stage anaerobic-digestion dynamic model in MATLAB/Simulink to study biogas production and supply sustainability for power generation.
  • Contributed to design sizing, cost estimation, sustainability assessment, and safety analysis, including risks such as fire or explosion, asphyxiation, toxic-gas exposure, and high-pressure leaks.
RealKcat: Catalytically Aware, Mutation-Resolved Prediction of Enzyme Kinetics for Enzyme Engineering and Metabolic Modeling
bioRxiv, 2025
  • Built a mutation-aware machine-learning framework for predicting kcat and Km from enzyme-sequence and substrate representations, using curated enzyme-substrate records, order-of-magnitude target binning, ESM / ChemBERTa embeddings, and robust multiclass evaluation tailored to noisy biochemical measurements.
  • Positioned the framework for biologically meaningful use by capturing mutation-induced kinetic shifts at catalytic residues and across the PafA mutational landscape, supporting applications in enzyme design, metabolic engineering, and constraint-based modeling.
CorePredX: Proteome-Encoded Growth-Rate Prediction and Growth-Determinant Discovery in Rhodopseudomonas palustris
Manuscript in preparation
  • Developed a condition-resolved computational framework linking growth-curve fitting, quantitative proteomics, predictive modeling, and feature-importance analysis to infer growth rate from proteome states across lignin-derived substrates and oxygen conditions.
  • Used the model to distinguish constitutive or core versus adaptive or context-specific growth determinants, reframing proteomics from descriptive profiling into mechanistic insight about how aromatic-substrate utilization and oxygen regime shape cellular fitness.
Regularized Dynamic Metabolic Flux Analysis (r-DMFA) for Deciphering Sphingolipid Dynamics in Arabidopsis thaliana
iScience, 2024
  • Developed a regularized dynamic metabolic-flux-analysis framework that integrates 15N isotope-labeling, targeted metabolomics, and dynamic flux sampling to infer transient intracellular sphingolipid fluxes under substantial experimental noise and temporal variability.
  • Applied the framework to de novo sphingolipid biosynthesis in Arabidopsis and identified biologically important control nodes, including SBH, LCBK, and related pathway regulators, with implications for cellular homeostasis, programmed cell death, and crop stress resilience.
DynPertBoost: A Temporal Multi-Omics Ensemble for Predicting Immune Memory After Pertussis Booster Vaccination
AIChE 2025; manuscript in preparation; related repository: github.com/abonuga/DynPertBoostOmix
  • Built a temporal, multi-horizon ensemble framework that integrates cytokine, transcriptomic, and antibody data to predict vaccine-response trajectories across time after pertussis booster vaccination.
  • Framed the project around immune-memory biology by using early molecular and inflammatory signals to forecast later humoral-response states, enabling mechanistic interpretation of vaccine-induced immune adaptation rather than only endpoint prediction.
Multivariable Modeling, System Identification, and Predictive Control of a Cascaded Three-Tank Process Platform
Selected publications, 2020 - 2023
  • Contributed to the design, fabrication, interfacing, and first-principles modeling of a 3x3 nonlinear cascaded three-tank system with microcontroller-based direct digital control, sensor / valve / pump calibration, and experimental input-output data generation for system identification.
  • Evaluated multivariable control strategies spanning decentralized PID, centralized control, ANN-based predictive control, and offset-free nonlinear MPC, demonstrating stronger interaction handling and tracking performance with predictive-control formulations on a real experimental platform.
Spatiotemporal Sensor Optimization for Efficient Greenhouse Environmental Monitoring in Controlled-Environment Agriculture
Computers and Electronics in Agriculture, 2022
  • Developed an online machine-learning workflow for greenhouse sensor clustering and optimal placement using K-Means++, psychrometric feature construction, and long-horizon temperature and humidity data collected across 56 locations and multiple seasons.
  • Showed that environmental heterogeneity in controlled-environment agriculture can be captured with a small number of strategically placed sensors, improving cost-effective monitoring and decision support compared with arbitrary center-point placement.
Mechanistic Kinetic Modeling of Engineered Yeast Lipid Pathways for Enzyme Redesign and Pathway Optimization
Ongoing
  • Developing a mechanistic modeling framework for engineered yeast lipid pathways that integrates proteomics, metabolite measurements, and parameter uncertainty to infer bottlenecks, redundancy, and compensatory control structure.
  • Using the framework to identify enzyme-redesign targets and pathway-level intervention points that can improve lipid and wax pathway performance in engineered systems.
Temporal Metabolic Modeling of PDAC Stress Adaptation Under Oxygen-Dependent Transcriptional Reprogramming
Ongoing
  • Building temporally resolved metabolic models of pancreatic ductal adenocarcinoma under tumor-like stress using transcriptomic time courses and mechanistic metabolic-network constraints.
  • Investigating how oxygen-dependent transcriptional reprogramming propagates to flux-level metabolic adaptation and potential vulnerabilities under hypoxic stress.

Publications And Scholarly Output

Selected publications grouped by major research themes.

Systems Biology, Metabolic Modeling, And Multi-Omics

  1. Multi-omics integration in genome-scale metabolic models: a review of constraint-based approaches. Nabia Shahreen, Abraham Osinuga, Sunayana Malla, Tahereh Razmpour, Masoud Tabibian, and Rajib Saha. Molecular Omics 22(2), 2026. DOI: 10.1093/molecular-omics/aaiag005.
  2. Deciphering sphingolipid biosynthesis dynamics in Arabidopsis thaliana cell cultures: Quantitative analysis amid data variability. Abraham Osinuga, Ariadna Gonzalez Solis, Rebecca E. Cahoon, Adil Alsiyabi, Edgar B. Cahoon, and Rajib Saha. iScience 27(9):110675, 2024. DOI: 10.1016/j.isci.2024.110675.
  3. Machine Learning Reveals Proteome-Encoded Growth Predictors of Rhodopseudomonas palustris CGA009 on Lignin Aromatics. Abraham Osinuga, Mark Kathol, and Rajib Saha. mSystems, 2026. DOI: 10.1128/msystems.00383-26.
  4. Quantitative Dynamic Analysis of de novo Sphingolipid Biosynthesis in Arabidopsis thaliana. Abraham Osinuga and coauthors. Preprint version of the later iScience article, 2023.

AI, Enzyme Kinetics, And Predictive Bioengineering

  1. CatRange enables robust prediction of enzyme variant kinetic regimes. Karuna Anna Sajeevan, Abraham Osinuga, Arunraj B, Sakib Ferdous, Nabia Shahreen, Mohammed Noor, Shashank Koneru, Laura Mariana Santos-Correa, Rahil Salehi, Niaz Bahar Chowdhury, Randy Aryee, Brisa Calderon-Lopez, Souvik Dey, Ankur Mali, Rajib Saha, and Ratul Chowdhury. PNAS Nexus, 2026, pgag309. DOI: 10.1093/pnasnexus/pgag309.

Computational Biomedicine, Molecular Discovery, And Data Science

  1. The role of machine learning in discovering biomarkers and predicting treatment strategies for neurodegenerative diseases: A narrative review. NeuroMarkers 2(1), 100034, 2025. DOI: 10.1016/j.neumar.2024.100034.
  2. In-silico discovery of Dipeptidyl Peptidase-4 inhibitors from African medicinal plants: Molecular docking, ADMET, dynamics simulation, and MM-GBSA analyses. The Nucleus 69(1), 75-97, 2026. DOI: 10.1007/s13237-024-00526-x.
  3. Biochemical mechanisms and molecular interactions of vitamins in cancer therapy. Cancer Pathogenesis and Therapy 3(01), 3-15, 2025. DOI: 10.1016/j.cpt.2024.05.001.
  4. Identification of novel phytotherapeutic agents for understanding hypertrophic cardiomyopathy via genetic mapping and advanced computational analysis. Genome Instability & Disease 5(6), 262-286, 2024. DOI: 10.1007/s42764-024-00142-8.
  5. Hyperparameter tuning in machine learning: A comprehensive review. Journal of Engineering Research and Reports 26(6), 388-395, 2024. DOI: 10.9734/jerr/2024/v26i61188.
  6. Transforming early microbial detection: Investigating innovative biosensors for emerging infectious diseases. Advances in Biomarker Sciences and Technology 6, 59-71, 2024. DOI: 10.1016/j.abst.2024.04.002.
  7. Nanomedicine in cancer therapy: Advancing precision treatments. Advances in Biomarker Sciences and Technology 6, 105-119, 2024. DOI: 10.1016/j.abst.2024.06.003.

Process Systems Engineering, Control, And Smart Agriculture

  1. Offset-Free Quasi-Infinite Horizon Nonlinear Model Predictive Controller Design Using Parameter Adaptation. Ayorinde S. Bamimore, Chinmay Rajhans, Abraham B. Osinuga, Ajiboye S. Osunleke, and Oluwafemi Taiwo. Journal of Dynamic Systems, Measurement and Control 145(10):101005, 2023. DOI: 10.1115/1.4063266.
  2. An online machine learning-based sensors clustering system for efficient and cost-effective environmental monitoring in controlled environment agriculture. Jaehoon Lee, Abraham B. Osinuga, Sejin Kim, Nura Ali, Daesom Kim, Myounghoon Lee, Min-Hyeok Kim, Hong S. Kim, and Serim Bae. Computers and Electronics in Agriculture 199:107139, 2022. DOI: 10.1016/j.compag.2022.107139.
  3. Design, fabrication and interfacing of a cascaded three-tank system with micro-controller board for research and education in process control. Journal of the Nigerian Academy of Engineering, 2021.
  4. A comparison of two artificial neural networks for modelling and predictive control of a cascaded three-tank system. Ayorinde S. Bamimore, Chinmay Rajhans, Abraham B. Osinuga, and Oluwafemi Taiwo. IFAC-PapersOnLine 54(21):145-150, 2021. DOI: 10.1016/j.ifacol.2021.11.233.

Conference Abstracts And Proceedings

  1. Catalytically Aware and Mutation-Resolved Kinetics Prediction Enables Variational Modeling of Enzyme-Substrate Systems. Abraham Osinuga, Karuna Anna Sajeevan, Ratul Chowdhury, and Rajib Saha. AIChE Annual Meeting, 2025. Oral conference abstract.
  2. Predictive Modeling of Enzyme Kinetics and Metabolic Networks for Biotech and Biohealth Applications. Abraham Osinuga. AIChE Annual Meeting, 2025. Poster abstract.
  3. Integrative Prediction of Temporal Immune Responses to Pertussis Booster Vaccination. Abraham Osinuga, Sunayana Malla, and Rajib Saha. AIChE Annual Meeting, 2025. Conference abstract.
  4. Advancing Predictive Enzyme and Metabolic Modeling for Systems-Level Insight and Translational Bioengineering. Abraham Osinuga. AIChE Annual Meeting, 2025. Poster abstract.
  5. Addressing Temporal Variability in Metabolomics: A Dynamic Modeling Approach to Sphingolipid Biosynthesis in Arabidopsis thaliana. Abraham Osinuga, Ariadna Gonzalez Solis, Rebecca Cahoon, Adil Alsiyabi, Edgar Cahoon, and Rajib Saha. AIChE Annual Meeting, 2024. Oral conference abstract.
  6. Modeling Sphingolipid Metabolism and Prediction of Orosomucoid (ORM) Proteins' Regulatory Roles: 15N Stable Isotope Labeling Studies. Abraham Osinuga, Rebecca Cahoon, Edgar Cahoon, and Rajib Saha. AIChE Annual Meeting, 2023. Oral conference abstract.

Thesis

  1. Dynamic Metabolic Flux Analysis Amidst Data Variability: Sphingolipid Biosynthesis Case Study in Arabidopsis thaliana Cell Cultures. M.S. thesis, University of Nebraska-Lincoln, 2024.

Oral Talks And Poster Presentations

Oral Talks

Poster Presentations

Awards, Fellowships, Scholarships, And Recognition

Certifications And Professional Development

Leadership, Service, Reviewing, And Memberships

Treasurer, Society of American Military Engineers (SAME), University of Nebraska-Lincoln
Fall 2025 - Spring 2026 | Lincoln, Nebraska, USA
  • Serving in a financial leadership role supporting chapter operations, budgeting, and organizational planning.
  • Contributing to the administrative and programmatic continuity of the chapter through financial stewardship and coordination.
Vice President, Graduate Student Association of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln
September 2024 - September 2025 | Lincoln, Nebraska, USA
  • Advanced strategic initiatives and special projects aimed at improving chapter operations, graduate-student engagement, and organizational effectiveness.
  • Helped guide leadership planning and implementation of programs that strengthened coordination within the department's graduate-student community.
Senator, National Society of Black Engineers (NSBE), University of Nebraska-Lincoln
August 2024 - May 2025 | Lincoln, Nebraska, USA
  • Served on the Constitution Review Committee, helping modernize chapter bylaws to improve long-term governance, transparency, and alignment with broader organizational standards.
  • Co-led strategic coordination of funding and travel logistics for a 17-member delegation to the 2025 NSBE National Convention in Chicago.
  • Spearheaded accountability sessions and mentorship-oriented initiatives that strengthened member support, leadership development, and chapter cohesion.
  • Represented student membership in meetings at the school, zone, regional, and national levels, helping communicate chapter priorities and student perspectives across multiple organizational settings.
Primary Programmer, Graduate Student Association of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln
September 2023 - September 2024 | Lincoln, Nebraska, USA
  • Led chapter communication and logistics efforts to support timely coordination of programs and student-facing activities.
  • Managed social media operations, including timely updates, audience-focused content development, and engagement monitoring.
  • Supported strategic planning and special projects designed to improve chapter visibility, communication efficiency, and overall organizational effectiveness.
Student Chapter President, AIChE - Obafemi Awolowo University Student Chapter
September 2017 - April 2020 | Ile-Ife, Nigeria
  • Coordinated officers' meetings, planned and monitored the events calendar, oversaw fundraising efforts, and supported the academic and professional development of chapter members.
  • Improved international participation and organized software-skills training in Aspen and MATLAB for student members.
  • Managed an executive structure serving roughly 250 members and helped reverse prior membership decline.
Europe & Africa Regional Liaison Officer, AIChE Executive Student Committee
Three consecutive academic sessions
  • Corresponded regularly with assigned student chapters across the region, supported chapter growth, helped address chapter problems, and served as a liaison between chapters and the regional chair.
  • Attended all-ESC calls and participated in recurring coordination calls with the other regional liaisons.
Chair, Audit Committee, NSChE - Obafemi Awolowo University Student Chapter
April 2019 - June 2019
  • Conducted an audit exercise on the prior executive council's expenditure and the association's accounts.
  • Prepared a detailed report on income, expenditure, and contract-management issues, reconciled identified breaches or deficits, and provided recommendations for subsequent administrations.
Webmaster, AIChE Executive Student Committee
September 2018 - April 2019
  • Maintained the ESC website and improved the sitemap while supporting broader executive-student-committee activities.
Secretary, Academic Committee, NSChE - Obafemi Awolowo University Student Chapter
November 2017 - April 2018
  • Supported the committee's academic-performance mission through meeting coordination, minutes, record keeping, communication, and correspondence.
  • Implemented early e-drive documentation as an extension of the association's student-library e-learning component.
Early School Leadership Roles, Federal Science and Technical College, Ijebu-Imushin
2012 - 2014 | Ogun State, Nigeria
  • Senior Prefect Boy, maintaining student-management relations and helping coordinate school-wide socio-academic engagement.
  • President, JETS Club, coordinating officers, events, fundraising, presentations, and demonstrations / contests.
  • Executive, Mathematics Club.

STEM Outreach And Mentorship

Reviewer Roles

Professional Memberships And Affiliations

Technical Skills And Tools

Computational Biology & Modeling

  • Genome-scale metabolic modeling (GEMs)
  • Multi-omics integration across genomics, transcriptomics, single-cell transcriptomics, proteomics, and metabolomics
  • Dynamic and variational flux analysis
  • Enzyme kinetics modeling (kcat / Km)
  • Time-resolved biological modeling and stochastic simulation
  • COBRApy, COBRA Toolbox, KEGG, BiGG, and Reactome

Mathematical & Optimization Foundations

  • ODEs, PDEs, and DAEs
  • MILP and MINLP optimization
  • Bayesian inference and uncertainty quantification
  • Statistical learning theory, graph theory, and information theory
  • Kalman filtering and Lyapunov stability
  • Tensor mathematics and spectral methods

AI, ML & Deep Learning

  • PyTorch, scikit-learn, XGBoost, cuML, HuggingFace, and TensorFlow
  • Transformer-based protein-model workflows including ESM-2, ESM-C, and ESM-3
  • Graph neural networks with PyTorch Geometric
  • Autoencoders, multimodal and time-series ML, and multi-task ensemble workflows
  • Cheminformatics with RDKit and SMILES representations
  • GPU-accelerated CUDA and HPC pipelines

Process Control & Embedded Systems

  • Nonlinear model predictive control (NMPC), moving horizon estimation (MHE), extended Kalman filtering (EKF), economic MPC, PID, and robust control
  • ANN-based controllers and offset-free or adaptive nonlinear-controller variants
  • Real-time deployment on ARM Cortex microcontrollers
  • MATLAB / Simulink and embedded C

Programming & Deployment

  • Python, MATLAB, R, Bash, and working knowledge of C++, Java, and JavaScript
  • GAMS, Gurobi, Pyomo, SciPy, and Pandas
  • SLURM, HTCondor, Docker, Apptainer, REST APIs, GitHub, and GitLab
  • Excel and spreadsheet-based modeling and analysis workflows

Molecular & Process Simulation

  • Schrodinger suites
  • AutoDock Vina
  • GROMACS
  • Aspen HYSYS, Aspen Plus, and Aspen Dynamics

Languages

  • English
  • Yoruba

Selected Profiles And Links