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Hire Dr. Tayeb J.

United States

USD 50 /hr

Data Analysis & Statistical Physics (10+ years) │Data Science (5 years)

Profile Summary

I am a computational scientist with over a decade of interdisciplinary experience bridging statistical physics and data-driven modeling. I specialize in developing and deploying statistical methods and machine learning solutions for complex problems in physics, finance, climate science, and genomics. As a postdoctoral researcher at Boston University, I have designed robust computational pipelines and deep learning models for detecting modifications in genomic datasets. Demonstrated data science excellence as a Kaggle Expert (https://www.kaggle.com/tjamali), earning two solo silver medals for developing and optimizing advanced deep learning models.

Subject Matter Expertise

• ★ Data Analysis
• ★ Machine Learning
• ★ Deep Learning
• ☆ Omics
• ☆ Genomics
• ☆ Social Network Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Financial Modeling
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Computational Physics
• ☆ Applied Mathematics
• ☆ Computational Sciences
• ☆ Python
• ☆ Statistical Finance

Services

• Data & AI

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

Work Experience

Researcher

Broad Institute of MIT and Harvard

October 2023 - Present

Postdoctoral Associate

Boston University School of Medicine

May 2023 - May 2025

Education

Ph.D. in Physics

Shahid Beheshti University

September 2011 - August 2015

Certifications

• Competition Silver Medalist

  Kaggle

  https://www.kaggle.com/certification/competitions/tjamali/birdclef-2023

  January 2023 - Present

• Competition Silver Medalist

  Kaggle

  https://www.kaggle.com/certification/competitions/tjamali/birdclef-2022

  January 2022 - Present

Publications

JOURNAL ARTICLE

Tayeb Jamali, Victor Oladoja, Behzad Ghanbarian, Jürgen Kurths (2025). Analyzing spatiotemporal patterns of extreme precipitations in North America using complex network theory . Journal of Hydrology.

Tayeb Jamali, Kehinde Bosikun, Behzad Ghanbarian, Jürgen Kurths (2025). Complex network analysis of extreme temperature events in the Contiguous United States . Atmospheric Research.

H. Motahari, M. Ghanbarzadeh Noudehi, T. Jamali, G. R. Jafari (2025). Chapman-Kolmogorov test for estimating memory length of two coupled processes . Scientific Reports.

Tayeb Jamali, Behzad Ghanbarian, Jürgen Kurths (2023). Spatiotemporal analysis of extreme precipitation events in the United States at mesoscale: Complex network theory . Journal of Hydrology.

Tayeb Jamali, Reza Hosseini, Samin Tajik, Zahra Koohi Lai, Emmanuel Haven, Reza Jafari (2023). Quantum Bohmian-Inspired Potential to Model Non–Gaussian Time Series and Its Application in Financial Markets . Entropy.

M. Saeedian, T. Jamali, M.Z. Kamali, H. Bayani, T. Yasseri, G.R. Jafari(2019). Emergence of world-stock-market network . Physica A: Statistical Mechanics and its Applications. 526. p. 120792. Elsevier {BV}

Tayeb Jamali, Ali Naji(2018). Active fluids at circular boundaries: swim pressure and anomalous droplet ripening . Soft Matter. Royal Society of Chemistry ({RSC})

Tayeb Jamali, Marcel Ausloos, Meghdad Saeedian, S. Vasheghani Farahani, G. Reza Jafari(2017). How visas shape and make visible the geopolitical architecture of the planet . Physica A: Statistical Mechanics and its Applications. 484. p. 267--275. Elsevier {BV}

M. Jannesar, T. Jamali, A. Sadeghi, S. M. S. Movahed, G. Fesler, E. Meyer, B. Khoshnevisan, G. R. Jafari(2017). Multiscaling behavior of atomic-scale friction . Physical Review E. 95. (6). American Physical Society ({APS})

Tayeb Jamali, G. R. Jafari, S. Vasheghani Farahani(2016). Patterns for the waiting time in the context of discrete-time stochastic processes . Physical Review E. 94. (3). American Physical Society ({APS})

Tayeb Jamali, G. R. Jafari(2015). Spectra of empirical autocorrelation matrices: A random-matrix-theory–inspired perspective . EPL (Europhysics Letters). 111. (1). p. 10001. {IOP} Publishing

Tayeb Jamali, S. Vasheghani Farahani, Mona Jannesar, George Palasantzas, G. R. Jafari(2015). Surface coupling effects on the capacitance of thin insulating films . Journal of Applied Physics. 117. (17). p. 175308. {AIP} Publishing

WORKING PAPER

Tayeb Jamali(2020). Active-Passive Brownian Particle in Two Dimensions . arXiv

Tayeb Jamali, G. R. Jafari(2016). Method for generating two coupled Gaussian stochastic processes . arXiv