プロフィール詳細

プロジェクトを作成

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Dr. Fatemeh Sadat F.に依頼

United States

Physics PHD, Informatics and Deep Learning expert

プロフィール概要

I’m a computational scientist and AI researcher with a PhD in Physics from Penn State University and a current postdoctoral fellowship at Indiana University’s Luddy School of Informatics, Computing, and Engineering. My expertise lies at the intersection of artificial intelligence, systems biology, and network science — with a strong focus on developing machine learning models for genomic and transcriptomic data analysis. I’ve been coding since high school, where I began with C++ while competing in national RoboCup leagues. Since then, I’ve built over a decade of programming experience, including extensive use of Python, R, and high-performance computing environments for data-driven biology. My current research involves applying graph neural networks (GNNs) and statistical models to biological networks, including single-cell RNA-seq data, DNA methylation analysis, and community detection in complex systems. I’ve led projects involving clustering algorithms (e.g., Seurat, Leiden, Infomap, SBM), stability analysis in ecological networks, and predictive modeling of phenotypes. I also have experience in scientific writing and publication, having authored peer-reviewed papers and a technical book on Boolean networks. My interdisciplinary work bridges physics, computer science, and biology, and I specialize in creating reproducible, insightful analyses from high-dimensional biological data. I’m excited to collaborate on data analysis, algorithm design, bioinformatics consulting, or AI-driven insights in biomedical research.

専門分野

• ☆ Computer Science
• ☆ Data Analysis
• ☆ Deep Learning
• ☆ Bioinformatics
• ☆ Medical Sciences

サービス

• Writing
• Research
• Data & AI

Writing Clinical Trial Documentation, Non-Medical Regulatory Writing, Technical Writing, General Proofreading & Editing

Research Scientific and Technical Research, Systematic Literature Review

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Postdoctoral Fellow

Indiana University Bloomington

8月 2023 - 現在

Postdoctoral Fellow

Indiana University

8月 2023 - 7月 2025

Graduate Research Assistant / Research Assistant

Pennsylvania State University

6月 2018 - 8月 2023

Ph.D. student

Pennsylvania State University

8月 2017 - 8月 2023

学歴

PhD

Pennsylvania State University

8月 2017 - 8月 2023

Master's degree (Medical sciences)

Tehran University of Medical Sciences

9月 2015 - 8月 2017

Bachelor's degree (Physics)

Sharif University of Technology

9月 2010 - 2月 2015

認定資格

• Object-Oriented Programming in Python

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/course/9dc6b61142480ef1faf4b824a99e99adb71e7f23?raw=1

  1月 2025 - 現在

• Intermediate Deep Learning with PyTorch

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/course/bfae27a636f888471a9922a591f96b9ae5c10614?raw=1

  1月 2025 - 現在

• Machine Learning for Marketing in Python

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/course/24a693d4b7f722ab32e95c57a4c0fa7dde2b1486?raw=1

  1月 2025 - 現在

• Understanding Microsoft Azure

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/course/2a5c3cf466b610c76cb67e56595763dca4caea2a?raw=1

  12月 2024 - 現在

• Introduction to Deep Learning with PyTorch

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/course/bb8e73518d9d834d3710d9806cd28a0c4eb3eb45?raw=1

  11月 2024 - 現在

• Intermediate SQL

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/course/5303c7a6fc7539fb13f6eda38f83e5093680417b?raw=1

  11月 2024 - 現在

• End-to-End Machine Learning

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/course/ea105b6e1dbe54a21a4772dcaeb8f64f956d1acb?raw=1

  1月 2025 - 1月 2025

• Introduction to LLMs in Python

  DataCamp

  https://www.datacamp.com/statement-of-accomplishment/course/a57505e5eea2367d292b9c7a3d860a5f0c6ff841?raw=1

  11月 2024 - 1月 2025

出版物

PREPRINT

Fatemeh Sadat Fatemi Nasrollahi, Filipi Nascimento Silva, Shiwei Liu, Soumilee Chaudhuri, Meichen Yu, Juexin Wang, Kwangsik Nho, Andrew J. Saykin, David A. Bennett, Olaf Sporns, et al.(2024). Cell Type Differentiation Using Network Clustering Algorithms . bioRxiv.

BOOK CHAPTER

Fatemeh Sadat Fatemi Nasrollahi, Jordan C. Rozum, Colin Campbell, Eli Newby, Réka Albert(2024). Boolean Networks as Predictive Models of Emergent Biological Behaviors . Cambridge University Press

JOURNAL ARTICLE

Fatemeh Sadat Fatemi Nasrollahi, Colin Campbell, Réka Albert(2023). Predicting cascading extinctions and efficient restoration strategies in plant–pollinator networks via generalized positive feedback loops . Scientific Reports. 13. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 902. Nature Publishing Group UK London

Fatemeh Sadat Fatemi Nasrollahi, Jorge Gómez Tejeda Zañudo, Colin Campbell, Reka Albert(2021). Relationships among generalized positive feedback loops determine possible community outcomes in plant-pollinator interaction networks . Physical Review E. 104. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 054304. APS

Fatemeh Sadat Fatemi Nasrollahi, Pardis Ghafarian, Parham Geramifar, Mohammad Reza Ay(2016). Quantification and Reduction of Respiratory Induced Artifact in Attenuation Correction of PET Data using Respiration Averaged CT: A Simulation and Phantom Study . Frontiers in Biomedical Technologies. 3. (3-4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 49--59.