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Hire Dr. Fatemeh Sadat F.

United States

USD 100 /hr

Physics PHD, Informatics and Deep Learning expert

Profile Summary

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.

Subject Matter Expertise

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

Services

• 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

Work Experience

Postdoctoral Fellow

Indiana University Bloomington

August 2023 - Present

Postdoctoral Fellow

Indiana University

August 2023 - July 2025

Graduate Research Assistant / Research Assistant

Pennsylvania State University

June 2018 - August 2023

Ph.D. student

Pennsylvania State University

August 2017 - August 2023

Education

PhD

Pennsylvania State University

August 2017 - August 2023

Master's degree (Medical sciences)

Tehran University of Medical Sciences

September 2015 - August 2017

Bachelor's degree (Physics)

Sharif University of Technology

September 2010 - February 2015

Certifications

• Object-Oriented Programming in Python

  DataCamp

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

  January 2025 - Present

• Intermediate Deep Learning with PyTorch

  DataCamp

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

  January 2025 - Present

• Machine Learning for Marketing in Python

  DataCamp

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

  January 2025 - Present

• Understanding Microsoft Azure

  DataCamp

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

  December 2024 - Present

• Introduction to Deep Learning with PyTorch

  DataCamp

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

  November 2024 - Present

• Intermediate SQL

  DataCamp

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

  November 2024 - Present

• End-to-End Machine Learning

  DataCamp

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

  January 2025 - January 2025

• Introduction to LLMs in Python

  DataCamp

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

  November 2024 - January 2025

Publications

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). p. 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). p. 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). p. 49--59.