m
mohamed_saadawy

Mohamed Saadawy

@mohamed_saadawy

MD who turns raw biomedical data into Q1 ready manuscripts in 24:48 hours

États-Unis
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
MD & Research Scientist | UNR | Advanced R Analysis Medical doctor and research scientist at University of Nevada, Reno specializing in neurology/neuro-oncology. I deliver fast, publication-ready biomedical analysis using R: Full pipeline: Univariate/multivariate modeling, survival (KM/Cox), count models, forest plots, heatmaps, risk stratification. Enterprise computing (50GB RAM/2TB storage) handles large genomic datasets. Deliverables: Complete Results sections, Methods, tables/figures for Q1 journals. 24-48hr turnaround. https://mohamedsaadawy.carrd.co/... Plus d’infos

Compétences

m
mohamed_saadawy
Mohamed Saadawy
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Modélisation et analyse statistique
I will do r analysis and publication plots for research
Graphiques & Diagrammes
I will do data analysis and data visualisation

Portfolio

Expérience professionnelle

research scientist

University of Nevada, Reno • Temps plein

Oct 2025 - Present7 mos

**Research Scientist** *University of Nevada, Reno (UNR) — Reno, NV* **Key Responsibilities & Achievements:** - Conducted advanced quantitative analysis of clinical trial datasets in neurology and neuro-oncology, including reanalysis of phase 3 ADVANCE trial data using negative binomial regression with time offsets for relapse rate modeling. - Developed publication-ready multi-panel figures (forest plots, Kaplan-Meier curves, risk stratification visualizations, heatmaps) using R (ggplot2, patchwork, ggridges) for Q1/Q2 journal submissions. - Performed comprehensive statistical modeling: univariate/multivariate regression, survival analysis (Cox PH), count models, subgroup interaction testing, and biomarker risk scoring. - Delivered end-to-end manuscript support: full Results sections, Methods, tables, and peer-review-ready interpretations for neurodegenerative disease research. - Utilized enterprise-grade computing resources (50GB RAM, 2TB storage) to handle large-scale Imaging, biomedical datasets and complex simulations. **Technical Stack:** R (tidyverse, survival, lme4, MASS), reproducible workflows (rmarkdown, renv), high-performance data visualization.

intern doctor

Alexandria University Hospitals • Temps plein

Jan 2025 - Sep 20258 mos

Key Responsibilities & Clinical Experience: Provided direct patient care across high-volume neurology, internal medicine, and emergency departments, managing 20–30 patients daily under senior supervision. Conducted comprehensive neurological assessments, including history-taking, physical exams (cranial nerves, motor/sensory function, reflexes), and diagnostic interpretation (MRI, CT, EEG). Participated in multidisciplinary rounds, treatment planning, and acute management of neurological emergencies (stroke, seizures, neuro-oncology cases). Developed expertise in clinical documentation, patient education, and bridging clinical observations to research questions—foundation for later quantitative analysis work. Rotated through neuro-oncology services, gaining practical exposure to tumor staging, chemotherapy protocols, and disease-modifying therapies in resource-limited settings. Clinical Skills Acquired: Neurological examination & localization Interpretation of neuroimaging (MRI T1/T2/FLAIR, Gd enhancement) Management of relapsing-remitting conditions (e.g., MS, autoimmune encephalitis) Patient-centered communication across diverse socioeconomic backgrounds Impact: Built clinical foundation in neurology/neuro-oncology that informs my current research analysis work-translating real-world patient data into rigorous, publication-ready statistical models and manuscripts.