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Sodiq Mojeed

@sodiqmojeed

Machine Learning Researcher advancing physics-informed Bayesian models and uncertainty quantification for safety-critical, calibrated predictions.

Nigeria

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What I'm looking for

I’m looking for a research-focused role where I can build physics-informed Bayesian models with calibrated uncertainty for safety-critical decisions—especially aerospace prognostics and reliability—while advancing distribution-shift robustness, conformal prediction, and reproducible scientific ML.

I’m a Machine Learning Researcher focused on physics-informed machine learning, Bayesian deep learning, and uncertainty quantification for safety-critical systems. I build models that embed differential equations and physical constraints into the learning objective so predictions are statistically accurate, physically consistent, and well-calibrated.

A core part of my work is designing and rigorously evaluating custom loss functions that encode domain knowledge—like monotonic degradation constraints for prognostics. I diagnose failure modes when objectives provide no genuine gradient signal, derive corrected formulations, and hold to a reproducibility-first standard for safety-relevant ML.

I’m especially interested in applying these ideas to aerospace prognostics, reliability engineering, and high-stakes decision-making under uncertainty. From physics-informed RUL prediction (NASA C-MAPSS) to aerospace risk pricing and landing success, I aim to advance distribution shift robustness, conformal prediction, calibration theory, and probabilistic scientific computing.

Experience

Work history, roles, and key accomplishments

Research Assistant

Federal University of Agriculture, Abeokuta

Aug 2023 - Sep 2024 (1 year 1 month)

Performed multivariate statistical analysis for a final thesis on road traffic accidents, applying PCA, factor analysis, and Ward clustering to FRSC/NBS national data. Achieved 71% variance explained by the first three components and found no significant regional differences via ANOVA (p=0.63), preparing the manuscript and addressing reviewer feedback.

Factor Analysis Ward Clustering ANOVA R Statistical Modeling

Research Intern

Faculty of Public Health

Aug 2023 - Feb 2024 (6 months)

Conducted multivariate analyses (PCA, factor analysis, clustering) on FRSC/NBS 2020–2021 road traffic accident datasets, contributing to a peer-reviewed JNAMP publication. Collaborated with epidemiologists and biostatisticians and automated statistical pipelines in R and Python for doctoral seminars and causal inference work.

Factor Analysis Clustering R Python Causal Inference Data Analysis

Education

Degrees, certifications, and relevant coursework

Federal University of Agriculture, Abeokuta

Bachelor of Science, Statistics

2019 - 2024

Grade: First Class Equivalent / Second Class Upper; GPA 4.35/5.0

Activities and societies: Ranked 5/140 graduating Statistics students; thesis under Mrs. Basirat O. Adetona; Best Tutor in Statistics (FUNAAB); ASSON Tutor Recognition Award; 3rd Place Math Olympiad (Oyo State, 2018).

Earned a B.Sc. in Statistics at Federal University of Agriculture, Abeokuta, focusing on multivariate analysis and statistical computing. Completed a final-year thesis on road traffic accidents in Nigeria using PCA, factor analysis, clustering, and ANOVA with contributions to a peer-reviewed publication.