Daniel Seungmin Han

Lecturer

UNSW Sydney

Australia

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Daniel Seungmin Han is a Lecturer at UNSW Sydney, Australia. His research primarily focuses on Mendelian randomization, statistical modeling, and complex biological systems, as evidenced by his recent articles on topics such as aortic stenosis, cardiovascular diseases, and the annotation of neural connectomes in Drosophila. He is engaged in advancing methodologies to better understand causal mechanisms and the role of various biomarkers in health and disease.

Articles (15)

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2025

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2025

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2021

Collaborators (9)

Kenneth Colodner

Mount Holyoke College

UNITED STATES

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Ximena Soto Rodriguez

The University of Manchester

UNITED KINGDOM

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Sung Soo Kim

Assistant Professor

University of California, Santa Barbara

UNITED STATES

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Jochen Kursawe

University of St. Andrews

UNITED KINGDOM

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Andrew Dacks

Associate Professor

Case Western Reserve University

UNITED STATES

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Cerys Manning

The University of Manchester

UNITED KINGDOM

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Veronica Biga

The University of Manchester

UNITED KINGDOM

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Gabriella Sterne

Assistant Professor

University of Rochester Medical Center

UNITED STATES

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Christopher Angstmann

Associate Professor

UNSW Sydney

AUSTRALIA

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Daniel Seungmin Han

Research Interests

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Articles (15)

Drug Target Mendelian Randomization: Distinguishing Between Causal Mechanisms and Biomarkers of Those Mechanisms

Compounded random walk for space-fractional diffusion on finite domains

Whole-brain annotation and multi-connectome cell typing of Drosophila

Aortic Stenosis and Renal Function: A Bidirectional Mendelian Randomization Analysis

Lipids, Blood Pressure, and Diabetes Mellitus on Risk of Cardiovascular Diseases in East Asians: A Mendelian Randomization Study.

Population heterogeneity in the fractional master equation, ensemble self-reinforcement, and strong memory effects

The effect of immunomodulatory drugs on aortic stenosis: a Mendelian randomisation analysis.

Hemocytes in Drosophila melanogaster embryos move via heterogeneous anomalous diffusion

Superdiffusion in self-reinforcing run-and-tumble model with rests

Anomalous Stochastic Transport of Particles with Self-Reinforcement and Mittag–Leffler Distributed Rest Times

Variable-order fractional master equation and clustering of particles: non-uniform lysosome distribution

Local Analysis of Heterogeneous Intracellular Transport: Slow and Fast Moving Endosomes

A dynamic, spatially periodic, micro-pattern of HES5 underlies neurogenesis in the mouse spinal cord.

Internet search volume for chest pain during the COVID-19 pandemic

Self-reinforcing directionality generates truncated Lévy walks without the power-law assumption

Collaborators (9)

Kenneth Colodner

Ximena Soto Rodriguez

Sung Soo Kim

Jochen Kursawe

Andrew Dacks

Cerys Manning

Veronica Biga

Gabriella Sterne

Christopher Angstmann

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