プロフィール詳細

プロジェクトを作成

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Dr. Amir E.に依頼

United States

Bioinformatics | Medical Informatics | AI | ML | NLP | LLM | Single Cell tech | Data Analyst

プロフィール概要

At Arizona State University, as a PhD candidate in Biomedical Informatics, I focus on advancing computational methods and data-driven research. My role involves the application of cutting-edge machine learning (ML) and artificial intelligence (AI) techniques in clinical health and bioinformatics, where I specialize in data analysis, modeling, and automation of complex workflows. By developing scalable solutions, I enable institutions to handle growing datasets and patient populations more efficiently, without increasing workload. My experience at TGen sharpened my expertise in computational biology, particularly in the study of neurodegenerative diseases. I now leverage those skills to tackle complex challenges in bioinformatics and health informatics, using AI and ML to contribute to the development of innovative, data-driven medical solutions that enhance patient care and outcomes. With over 7 years of experience in remote computational work and more than 3 years in project management, I have a deep proficiency in Python, R, machine learning, building large language models, and advanced data analytics. 7+ year experience in remote computational work 3+ year experience in project management Skilled in Python, R, machine learning, building large language models for Ai and local inferential AI and advanced data analytics. Research Paper -------- https://www.researchgate.net/profile/Amir-Elyaderani GitHub -------- https://github.com/aelyader/GisGen

専門分野

• ☆ Computational Biology
• ☆ Molecular Biology
• ☆ Next Generation Sequencing (NGS)
• ☆ Remote Sensing
• ☆ Automation
• ☆ Data Analysis
• ☆ Big Data Analytics
• ☆ Data Management
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Statistics
• ☆ Health Data Analysis
• ☆ Bioinformatics
• ☆ Higher Education
• ☆ Science Education
• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Java
• ☆ SAS
• ☆ Tensorflow
• ☆ R
• ☆ Clinical Trials
• ☆ Clinical Trials Data Analysis
• ☆ Project Management

サービス

• Writing
• Research
• Data & AI

Writing Clinical Trial Documentation, Medical Writing, Technical Writing

Research Meta-Research, Scientific and Technical Research

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

職務経験

Biomedical Informatics, Research Assistant & Teacher Assistant

Arizona State University

7月 2021 - 5月 2024

Single Cell Experience, Bioinformatician

TGen(Translational Genomics Research Institute)

10月 2017 - 6月 2021

学歴

PhD Candidate in Biomedical Informatics

Arizona State University

7月 2021 - 5月 2024

MS in Biomedical Informatics

Arizona State University

7月 2021 - 5月 2024

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Amir Elyaderani, Temitope O. C. Faleye, Peter Skidmore, Sangeet Adhikari, Nicole Kaiser , Abriana Smith, Allan Yanez, Tyler Perleberg, Erin Driver, Rolf U. Halden, et al. (2024). Exploring Canine Picornavirus Diversity in the USA Using Wastewater Surveillance: From High-Throughput Genomic Sequencing to Immuno-Informatics and Capsid Structure Modeling . Viruses.

Amir Elyaderani, Temitope O. C. Faleye, Peter Skidmore, Sangeet Adhikari, Abriana Smith, Nicole Kaiser, Helen Sandrolini, Sarah Finnerty, Rolf U. Halden, Arvind Varsani, et al. (2023). Surveillance of rhinovirus diversity among a university community identifies multiple types from all three species including an unassigned rhinovirus A genotype . Influenza and Other Respiratory Viruses.

Amir Elyaderani, Abriana Smith, Nicole Kaiser, Allan Yanez, Tyler Perleberg, Peter Skidmore, Sangeet Adhikari, Erin M. Driver, Rolf U. Halden, Arvind Varsani, et al. (2022). Genome Sequence of a Microvirus Recovered from Wastewater in Arizona, USA, in October 2020, Encodes a Previously Undescribed DNA-Binding Protein . Microbiology Resource Announcements.

Amir Elyaderani, Temitope O.C. Faleye, Peter T. Skidmore, Abriana Smith, Nicole Kaiser, Sangeet Adhikari, Allan Yanez, Tyler Perleberg, Erin M. Driver, Rolf U. Halden, et al. (2022). Canine picornaviruses detected in wastewater in Arizona, USA 2019 and 2021 . Infection, Genetics and Evolution.

Amir Elyaderani, Michela Dell'Orco, Annika Vannan, Shobana Sekar, Gregory Powell, Winnie S. Liang, Janet Neisewander, Nora I. Perrone-Bizzozero (2021). HuD Regulates mRNA-circRNA-miRNA Networks in the Mouse Striatum Linked to Neuronal Development and Drug Addiction . Biology.

Amir Elyaderani, Daniel Enriquez, Jerry Antone, Philipp Geiger, Jonathan Adkins, Geidy E. Serrano, Diego f Mastroeni, Thomas G. Beach, Benjamin Readhead, Joel Dudley, et al. (2019). P4‐495: SINGLE NUCLEI AND SINGLE WHOLE CELL SEQUENCING OF ALZHEIMER'S DISEASE . Alzheimer's & Dementia.

PREPRINT

Amir Elyaderani, Davy Weissenbacher, Karen O’Connor, Ari Klein, Su Golder, Ivan Flores, Matthew Scotch, Graciela Gonzalez Hernandez (2023). Text mining biomedical literature to identify extremely unbalanced data for digital epidemiology and systematic reviews: dataset and methods for a SARS-CoV-2 genomic epidemiology study .

Amir Elyaderani, Karen O’Connor, Davy Weissenbacher, Ebbing Lautenbach, Matthew Scotch, Graciela Gonzalez-Hernandez (2023). Patient-Related Metadata Reported in Sequencing Studies of SARS-CoV-2: Protocol for a Scoping Review and Bibliometric Analysis .

Amir Elyaderani, Temitope O.C. Faleye, Peter Skidmore, Sangeet Adhikari, Nicole Kaiser, Abriana Smith, Allan Yanez, Tyler Perleberg, Erin Driver, Rolf U. Halden, et al. (2022). Impact of sample clarification by size exclusion on virus detection and diversity in wastewater-based epidemiology .