Jinyang Wang
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Dredging Development Modeller @ NMDC Group, Abu Dhabi

Ph.D. physicist with a mathematics background (MSc Mathematics, BSc Applied Mathematics) and 3+ years in quantitative finance at Rabobank, building data pipelines, pricing libraries, and ML models on large-scale financial datasets. Experienced in cloud deployment (Databricks, Azure), LLM/RAG applications, and reinforcement learning. Maintainer of Awesome Python (290k+ GitHub stars).

CFA Level 2 candidate, PMP

Jinyang Wang
5+
Years Industry
3
Degrees
2
Continents
Education
  • Utrecht University
    Utrecht University
    Department of Physics
    Ph.D. Student
    Mar. 2018 - May. 2022
  • University of Exeter
    University of Exeter
    M.Sc. in Mathematics
    Sep. 2016 - Aug. 2017
  • Xi'an Jiaotong-Liverpool University
    Xi'an Jiaotong-Liverpool University
    B.Sc. in Applied Mathematics
    Double degree with University of Liverpool
    Sep. 2011 - Aug. 2016
Experience
  • Rabobank
    Rabobank
    Quantitative Researcher / Treasury Modeller
    Oct. 2022 - Sep. 2025
Peer Review
  • Environmental Fluid Mechanics — Springer Nature ×2
    2022
  • Ocean Engineering — Elsevier ×1
    2026
News
2026
Published Amortly on Apple App Store Featured
Apr 30
2025
My son was born
Jul 19
First release of Ichingpy
Jan 03
Selected Publications (view all )
Turbidity maxima in estuarine networks: Dependence on fluvial sediment input and local deepening/narrowing with an exploratory model
Frontiers in Marine Science 2024 Spotlight
Turbidity maxima in estuarine networks: Dependence on fluvial sediment input and local deepening/narrowing with an exploratory model

An estuarine turbidity maximum (ETM) results from various subtidal sediment transport mechanisms related to, e.g., river, tides, and density gradients, which have been extensively analysed in single-channel estuaries. However, ETMs have also been found in estuaries composed of multiple interconnected tidal channels, where the water and suspended fine sediments are exchanged at the junctions with possible occurrence of sediment overspill. The overall aim of this study is to understand the processes that determine the ETM dynamics in such channel networks. Specifically, focusing on the ETMs formation due to sediment transport by river flow and density-driven flow, the dependence of ETM locations in an idealised three-channel network on fluvial sediment input and the local deepening and narrowing of a seaward channel is investigated. It is found that the ETM dynamics in channels of a network is coupled, and hence, changes in one channel affect the ETM pattern in all channels. Sensitivity results show that, keeping river discharge fixed, a larger fluvial sediment input leads to the upstream shift of ETMs and an increase in the overall sediment concentration. Both deepening or narrowing of a seaward channel may influence the ETMs in the entire network. Furthermore, the effect of either deepening or narrowing of a seaward channel on the ETM locations in the network depends on the system geometry and the dominant hydrodynamic conditions. Therefore, the response of the ETM location to local geometric changes is explained by analysing the dominant sediment transport mechanisms. In addition to the convergence of sediment transport mechanisms in single-estuarine channels, ETM dynamics in networks is found to be strongly affected by net exchange of sediment between the branches of a network. We find that considering the sensitivity of net sediment transport to geometric changes is needed to understand the changing ETM dynamics observed in a real estuarine network.

Jinyang Wang, Yoeri M. Dijkstra, Huib E. de Swart

Turbidity maxima in estuarine networks: Dependence on fluvial sediment input and local deepening/narrowing with an exploratory model
Journal of Geophysical Research: Oceans 2021 Spotlight
Turbidity maxima in estuarine networks: Dependence on fluvial sediment input and local deepening/narrowing with an exploratory model

Net water transport (NWT) in estuaries is important for, for example, salt intrusion and sediment dynamics. While NWT is only determined by river runoff in single channels, in estuarine networks, it results from a complex interplay between tides and residual flows. This study aims to disentangle the various contributions of these physical drivers to NWT in estuarine networks and investigate the sensitivities of NWT to variable forcing conditions, interventions, and sea level rise (SLR). To this end, a processes-based perturbative network model is developed, which accounts for the vertical flow structure to resolve density-driven flow driven by a vertically uniform along-channel salinity gradient. Other identified drivers are river discharge and three tidal rectification processes: Stokes transport and its return flow, momentum advection, and velocity-depth asymmetry. The model is applied to the Yangtze Estuary. NWT due to tidal rectifications and density-driven flow can be comparable to river discharge. Specifically in the North Branch, the direction of NWT may differ from the direction of river discharge. Varying river discharge mainly affects NWT as tide-river interaction is weak and density-driven flow is shown to be insensitive to salt intrusion. Conversely, variations in tidal amplitude strongly affect NWT related to tidal rectification and density-driven flow. The deepening (narrowing) of one channel (Deep Waterway Project), affected the NWT mostly through the density-driven flow (advection). Furthermore, NWT distribution in the Yangtze is insensitive to SLR up to 2 m because the effects of SLR on transport due to different drivers compensate each other.

Jinyang Wang, Yoeri M. Dijkstra, Huib E. de Swart

Continental Shelf Research 2021 Spotlight
Dependence of tides and river water transport in an estuarine network on river discharge, tidal forcing, geometry and sea level rise

Estuaries are often characterised by a complex network of branching channels, in which the water motion is primarily driven by tides and fresh water discharge. For both scientific reasons and management purposes, it is important to gain more fundamental knowledge about the hydrodynamics in such networks, as well as their implications for turbidity and ecological functioning. A generic 2DV estuarine network model is developed to study tides and river water transport and to understand the dependence of their along-channel and vertical structure on forcings, geometry characteristics and sea level changes. The model is subsequently applied to the Yangtze Estuary to investigate tides and the distribution of river water over channels during dry and wet season, spring tide, as well as prior to and after the formation of Hengsha Passage and the construction of the Deep Waterway Project and sea level rise. Increasing river discharge enhances the friction for tides by increasing both internal and bottom stresses. Changes in tidal forcing are correlated with the friction for both tide and river. A shortcut channel reduces the water level difference in adjacent channels, as well as tidal amplitudes difference. Sea level rise results in larger friction parameters and faster propagation of tides. The distribution of river water transport is hardly affected by above mentioned changes. Model results and current vertical structure are consistent with observations.

Jinyang Wang, Yoeri M. Dijkstra, Huib E. de Swart

All publications