Profile
Dedicated computational researcher specializing in the synergistic application of mathematics, data science, and artificial intelligence to biological and healthcare problems. My work spans biostatistics, systems biology, computational neuroscience, and medical AI — transforming complex biological questions into structured computational frameworks and converting diverse biomedical data into actionable clinical insights.
I am currently seeking PhD or Master's positions in biostatistics, computational biology, or related fields, where I can contribute to rigorous interdisciplinary research and further develop methods at the intersection of mathematics, genomics, and healthcare AI.
Education
Bachelor of Science in Applied Mathematics — Graduated with Honours
Tabriz University, Tabriz, Iran | September 2019 – July 2023 | GPA: 17.43/20 (3.58/4.00)
Undergraduate Thesis: "An Investigation into Fuzzy Modeling Techniques for Input Current Conversion in LIF Neuron Models" — Supervisor: Dr. Fariba Bahrami. Developed novel fuzzy inference systems to model non-linear input-output relationships in Leaky Integrate-and-Fire neurons, significantly improving biological realism in computational simulations.
Relevant Coursework: Advanced Calculus, Linear Algebra, Differential Equations, Probability & Statistics, Mathematical Statistics, Numerical Analysis, Operations Research, Fuzzy Mathematics, Data Structures & Algorithms, Database Systems, Stochastic Processes, Advanced Bioinformatics.
Publications
06
The Effects of Optic Nerve Sheath Fenestration on Visual Function and OCT Metrics in Idiopathic Intracranial Hypertension: A Retrospective Study
Farabi, S., Yousefi, M., Fekrazad, S., Asiayi, A., Nabie, R., Kostic, M. · Frontiers in Ophthalmology, Vol. 6, 1752218 (Frontiers).
05
An Investigation into Fuzzy Modeling Techniques for Input Current Conversion in LIF Neuron Models
Yousefi, M., Bahrami, F., Farabi, S. · Manuscript in Preparation.
04
HLA Distribution of Azeri and Kurd Ethnic Groups: A 6-Year Investigation of Northwest Iran
Yousefi, M., Shahmohammadi-Farid, S., Farabi, S., Mandalo, L. · Submitted to Immunogenetics.
03
Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis
Yousefi, M., Maleki, S.F., Jafarizadeh, A., Ahmadpour Youshanlui, M., et al. · Submitted to Nature Communications.
02
Retinal Imaging and Alzheimer's Disease: An Artificial Intelligence-Based Future
Yousefi, M., Ashayeri, H., Jafarizadeh, A., Farhadi, F., Javadzadeh, A. (2023). · Neuroscience Informatics.
01
Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls
Yousefi, M., Lim, C.P., Farabi, S. (2023). · Journal of Medical Artificial Intelligence.
Research & Laboratory Experience
Undergraduate Research Assistant — Computational Neuroscience
Mathematical Neuroscience Lab, Tabriz University | Sep 2022 – Jul 2023 | Supervisor: Dr. Fariba Bahrami
- Developed fuzzy logic-based models for input current conversion in LIF neuron models, enhancing biological realism by 35% vs. traditional methods.
- Implemented simulations in Python and MATLAB, validating against experimental neuronal spike train and membrane potential data.
- Investigated AI approaches for Alzheimer's detection via retinal imaging biomarkers in collaboration with clinical neurologists.
Research Collaborator — Population Genetics & Biostatistics
HLA Distribution Analysis Project, Tabriz University of Medical Sciences | Jan 2021 – Dec 2023
- Comprehensive statistical analysis of HLA allele frequencies in Azeri and Kurd populations using 6 years of clinical data (N > 5,000).
- Applied chi-square tests, Fisher's exact tests, Hardy–Weinberg equilibrium analysis, and linkage disequilibrium analysis.
- Built R and Python pipelines for automated data cleaning, quality control, and statistical analysis of immunogenetic data.
Independent Researcher — Healthcare AI & Medical Informatics
Multiple Collaborative Projects | Sep 2021 – Present
- Stroke Prediction: ML models (Random Forest, XGBoost, Neural Networks) — 87% accuracy, 0.91 AUC-ROC.
- Lung Cancer Classification: Deep learning (U-Net, ResNet) for CT nodule segmentation — 92% sensitivity, 88% specificity.
- Thyroid Cancer Radiomics: 400+ features extracted from ultrasound; feature selection and ML for improved diagnostic accuracy.
- Clinical Trial Analysis: Statistical comparison of Gabapentin vs. Cinnarizine for tinnitus (paired t-tests, effect sizes).
- MS Biomarkers: Literature review on retinal imaging AI for MS diagnosis and progression monitoring.
Laboratory Experience (Wet Lab)
Tabriz University & Collaborating Labs | 2021 – 2023
- Cell culture (aseptic technique, passaging, cryopreservation); flow cytometry (sample prep, viability, apoptosis, cell cycle analysis).
- MTT and trypan blue viability assays; DNA/RNA extraction, PCR, gel electrophoresis; immunohistochemistry and immunofluorescence.
Technical Skills
Statistical Methods
Hypothesis testing (t-tests, ANOVA, chi-square, non-parametric) · Regression (linear, logistic, Poisson, Cox, mixed-effects) · Survival analysis (Kaplan–Meier, log-rank) · Multivariate analysis (PCA, discriminant, factor) · Bayesian statistics · Meta-analysis · Experimental design
Programming & Software
Python (NumPy, Pandas, SciPy, Statsmodels, Matplotlib, Seaborn — Advanced) · R (dplyr, ggplot2, survival, Bioconductor — Advanced) · MATLAB (signal processing, numerical analysis — Intermediate) · SQL (MySQL, PostgreSQL) · C++ (OOP, algorithms) · Git / GitHub
Machine Learning & AI
Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost · Deep learning: CNN, RNN, LSTM, U-Net, ResNet, Autoencoders, Transfer Learning · Classical ML: Random Forest, SVM, Gradient Boosting, Ensemble Methods · Computer vision: medical image segmentation, radiomics, feature extraction · Model evaluation: cross-validation, ROC/AUC, calibration
Bioinformatics & Systems Biology
Sequence analysis (BLAST, alignment) · Genomics (variant calling, population genetics, HLA typing) · Pathway analysis (GSEA, network analysis) · Systems modelling (ODEs, metabolic/regulatory networks) · Multi-omics integration
Mathematical Modelling
Linear algebra (SVD, PCA) · Differential equations and dynamical systems · Optimization (linear, nonlinear, gradient methods) · Fuzzy logic and inference systems · Numerical methods