プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Abdalrhman M.に依頼

Egypt

MD & Technical Consultant | Bridging Clinical Medicine, Computational Neuroscience, & Advanced Data Analysis

プロフィール概要

I am a physician (MBBCh) and researcher who specializes in bridging the gap between clinical medicine and advanced data science. My work focuses on projects that demand both a deep understanding of medical and physiological concepts and the ability to leverage computational tools—such as machine learning and biostatistics—to drive research and development. My research career has spanned several disciplines, ranging from computational neuroscience to cardiovascular risk stratification. I have developed novel applications for multimodal machine learning, including predicting laboratory test results using PPG data and classifying arterial pressure time-series using Convolutional Neural Networks. Furthermore, I have extensive experience in modeling neural systems, supported by my work at the Santa Fe Institute and the IBRO-Simons Computational Neuroscience Imbizo. My clinical research and synthesis experience includes co-authoring peer-reviewed research published in journals such as Brain Sciences and Metabolic Brain Disease, as well as presenting findings at major conferences like the Circulation annual meeting. My core competencies include scientific writing, where I prepare manuscripts, technical whitepapers, and clinical reports grounded in rigorous literature reviews and evidence-based analysis. I am proficient in Python for data modeling, statistical programming, and analyzing clinical datasets, which allows me to provide biostatistical interpretation and translate complex clinical guidelines into actionable insights for diagnostic product development. These technical skills are complemented by my foundation in medical practice, which I gained through my MBBCh medical training and experience as a House Officer. Regarding my previous and ongoing projects, I have investigated double descent peak scaling and optimal regularization in linear regression. I have also worked on the identification of novel spectral densities in arterial pressure time-series for cardiovascular risk stratification and the development of predictive models using machine learning to enhance diagnostic accuracy in clinical settings. I am committed to precision, ethical standards, and clear communication, and I am fully equipped to handle complex scientific tasks from conception to publication for biotech startups, academic teams, or professional research organizations.

専門分野

• ★ Health Data Analysis
• ☆ Biostatistics
• ☆ Neuroscience
• ☆ Computational Neuroscience
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Statistics
• ☆ Python

サービス

• Writing
• Research
• Consulting

Writing Medical Writing, Technical Writing

Research Feasibility Study, Fact Checking, Scientific and Technical Research, Systematic Literature Review

Consulting Healthcare Consulting, Scientific and Technical Consulting

職務経験

Fundraising Lead

Arabs in Neuroscience

12月 2022 - 4月 2026

Project Research Intern

University College London

9月 2024 - 12月 2024

Research assistant

Simedy Inc.

2月 2024 - 9月 2024

House Officer

Mansoura University Hospitals

3月 2021 - 9月 2022

学歴

MBBCh

Mansoura University Faculty of Medicine

9月 2014 - 4月 2021

認定資格

• Machine Learning Engineer

  DataCamp

  https://www.datacamp.com/completed/statement-of-accomplishment/track/81da29d355d41855bf53b8e3a156d24a150beec6

  1月 2026 - 現在

• Advanced Data Analysis

  Udacity

  https://www.udacity.com/certificate/e/73a828be-3be2-11ec-bb84-e3728cdd70fa

  2月 2022 - 現在

• Data Analysis Professional

  Udacity

  https://www.udacity.com/certificate/e/af956cd8-92f0-11eb-8166-0bba56d204bb

  5月 2021 - 現在

出版物

CONFERENCE ABSTRACT

Abdalrhman Mostafa (2023). Identification of Novel Spectral Densities in Arterial Pressure Time Series for Cardiovascular Risk Stratification in Early Prediabetes: Machine Learning Beyond Conventional Frequency Domain Analysis . AHA Scientific Sessions.

Abdalrhman Mostafa (2023). A Convolutional Neural Network Model classifies Beat-to-Beat Arterial Pressure Time-Series: Sex Stratification and Cardiovascular Risk Prediction . ASPET 2023.

JOURNAL ARTICLE

Abdalrhman Mostafa, Mahmoud A. Ebada, Al-Hussein A. Gadallah, Souad Alkanj, Badrah S. Alghamdi, Ghulam Md Ashraf, Adel M. Abuzenadah, Raed F. Alserihi, Ahmed Wadaa-Allah, Mohamed Salama (2023). Potential Regulation of miRNA-29 and miRNA-9 by Estrogens in Neurodegenerative Disorders: An Insightful Perspective . Brain Sciences.

Abdalrhman Mostafa, Mahmoud A. Ebada, Al-Hussein A. Gadallah, Souad Alkanj, Badrah S. Alghamdi, Ghulam Md Ashraf, Adel M. Abuzenadah, Raed F. Alserihi, Ahmed Wadaa-Allah, Mohamed Salama (2023). Potential Regulation of miRNA-29 and miRNA-9 by Estrogens in Neurodegenerative Disorders: An Insightful Perspective . Brain Sciences.

(2018). FOXRED1 silencing in mice: a possible animal model for Leigh syndrome . Metabolic brain disease.