d
dr_jordan_lee

Jordan L

@dr_jordan_lee

Simulations and Analysis

Royaume-Uni
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I have a PhD specialising in COMSOL Multiphysics modelling, electrochemistry, and data analysis in Python. My work includes multiphysics simulations (mass transport, fluid flow, and electrochemical systems), SECCM-based research, and advanced data processing using Python (NumPy, pandas, matplotlib). I can help with: • COMSOL model setup, debugging, and optimisation • Electrochemical and transport simulations • Scientific data analysis and visualisation • Custom Python scripts for research workflows Whether you're a researcher, startup, or engineer, I deliver accurate, well-documented results.... Plus d’infos

Compétences

d
dr_jordan_lee
Jordan L
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Programmation et Tech
I will build and simulate your comsol multiphysics model

Expérience professionnelle

Imperial_College London

PhD researcher (University of Warwick)

Imperial College London • Temps plein

Sep 2021 - Dec 20254 yrs 3 mos

Conducted advanced research in electrochemistry and multiphysics modelling using COMSOL Multiphysics. Developed models for mass transport, fluid dynamics, and electrochemical systems, including droplet-based and SECCM configurations. Processed and analysed experimental datasets using Python (NumPy, pandas, matplotlib), creating automated workflows and visualisations. Combined simulation and experimental approaches to investigate transport phenomena at micro/nanoscale interfaces. Please note that this was primarily with the University of Warwick with collaboration with the ICL. ICL was selected as Warwick was not availible in Fiverrs options.

Syngenta

PhD researcher

Syngenta • Temps plein

Sep 2021 - Dec 20254 yrs 3 mos

Worked on research related to agrochemical formulation and delivery, focusing on mass transport and behaviour of active ingredients at interfaces. Developed and applied multiphysics models (COMSOL) to simulate evaporation, diffusion, and fluid dynamics within microdroplets on hydrophobic surfaces. Investigated how formulation components (e.g. surfactants and active compounds) influence transport, deposition, and surface interactions. Supported experimental studies by analysing electrochemical and imaging data using Python (NumPy, pandas, matplotlib), generating quantitative insights and visualisations. Contributed to understanding how formulation chemistry affects performance, with relevance to real-world application efficiency. Collaborated across modelling and experimental workflows, integrating simulation results with lab data to validate mechanisms and improve predictive capability. Produced clear technical outputs suitable for both scientific and industrial contexts.