PROJECT CORDIAL survey

https://www.projectcordial.eu/en/survey

Computational MICROSCOPE OF THE WORLD AROUND US

PhD

Masters

Internships

Using my trusty laptop, I aim to tackle some big questions in healthcare, main research themes being:

Toxin interaction in kidney

Peritoneal Dialysis model

Sex-specific transport in kidney

Catalysis

Published Manuscripts

Development of Mesoporous Silica Nanoparticle-Based Films with Tunable Arginine–Glycine–Aspartate Peptide Global Density and Clustering Levels to Study Stem Cell Adhesion and Differentiation

Embracing Sex-specific Differences in Engineered Kidney Models for Enhanced Biological Understanding

Google scholar

Modeling indoxyl sulfate transport in a bioartificial kidney: Two-step binding kinetics or lumped parameters model for uremic toxin clearance?

A multi-domain shear-stress dependent diffusive model of cell transport-aided dialysis: analysis and simulation

Optimization of Media Change Intervals through Hydrogels Using Mathematical Models

Computational modelling of peritoneal dialysis: an overview

Implementation of parcel method for surface reactions in DSMC

Unravelling CO oxidation reaction kinetics on single Pd nanoparticles in nanoconfinement using a nanofluidic reactor and DSMC simulations

Sex-Specific Computational Models of Kidney Function in Patients With Diabetes

Projects

Dec 2022 – Present Lead Model Developer, Lead Data Analyst

Maastricht University, Utrecht University Medical Center, Netherlands

Modeling new dialysis device with Nanodialysis BV (Netherlands) with expected 4M end users worldwide.

• Curated First-In-Human clinical data of new dialysis device using Python.

• Developed a scalable digital twin of the new device using Python and multiprocessing module.

• Led 3 grants totalling ¤172k from the Dutch Kidney Foundation, LNVH and Gravitation Fund.

• Initiated collaborations with companies like Baxter (Sweden) and Nanodialysis BV. (Netherlands)

for model development.

• Created synthetic patient data and a neural network to predict model parameters.

• Designed a survey and focus groups across three EU countries.

Tech used: Python, Numpy, Scipy, Sklearn, Keras, Multiprocessing, Matplotlib, R.

Collaborators: KGF Gerritsen (Utrecht Medical Center, Netherlands), Frank Simonis (Nanodialysis BV, Netherlands), Joanna Stachowska-Pietka (Polish Academy of Sciences), Carl Oberg (Lund University)

Dec 2022 – Dec 2023 Co-founder, Chief Scientific Advisor

Lyken, Germany

Creating a project management tool aimed at scientific researchers

• Lead a team of back end and front end software developer.

• Developed a prototype website for the tool.

Tech used: Python, SQL, PHP, HTML, CSS.

Dec 2021 – Present Lead Model Developer, Lead Data Analyst

Maastricht University, University of Waterloo, Netherlands, Canada

Modeling drug impact of hypertensive drugs such as empagliflozin, dapagliflozin (15.8B market) on diabetic patients based on gender.

• Acted as the primary data analyst for a project on gender-specific drug responses in diabetic patients, leading to the development of a new drug design framework.

• Led the creation of the first model of a lab-scale kidney for precision medicine.

• Initiated new collaborations with Radboud University and Utrecht medical Center clinicians.

• Delivered Systems Biology training sessions on Bioinformatics Skills and Coding and Data Crunching.

Tech used: Python, Numpy, Multiprocessing, Matplotlib, GraphPad.

Collaborators: Anita Layton (University of Waterloo, Canada), Joost Hoenderop (Radboud University, Netherlands), Maarten Rookmaaker (Utrecht Medical Center, Netherlands), Roos Masereeuw (Utrecht University), Silvia Mihaila (Utrecht University)

Dec 2020 – Nov 2022 Lead Model Developer

Maastricht University, Utrecht University, Netherlands

Optimisation of membrane design in bio-artificial kidney (BAK) - 0.16B market in 2023.

• Led curvature analysis of membrane design in BAK using finite element analysis.

• Developed pattern testing for bio-compatible membrane in BAK.

• Created toxin transport model to aid in drug testing.

Tech used: FEM, COMSOL, VCell, COPASI, Python, Numpy, Multiprocessing, Matplotlib, GraphPad.

Collaborators: Roos Masereeuw (Utrecht University), Silvia Mihaila (Utrecht University), Alessandro Veneziani (Emory University, USA), Alexander Viguerie (Gran Sasso, Italy)

Oct 2016 – Nov 2020 Model developer

University of Bremen, Germany

Model development for gas sensors in automobiles with a focus on reducing computational time.

• Developed numerical algorithms for sensor data analysis, optimised the workflow, leading to 2x

speed of data processing.

• Collaborated with Chalmers University (Sweden) to analyze sensor data.

• Provided support for organising Bremen Workshop on Light Scattering, gave webinar for Open-

FOAM, responsible for maintenance of local servers.

Tech used: C++, OpenFOAM, ParaFOAM, Origin.

Collaborators: Cristoph Langhammer (Chalmers, Sweden), Henrik Strom (Chalmers, Sweden), Georg Pesch (University of Dublin, Ireland)

Aug 2015 – July 2016 Model Developer

National Institute of Technology, Rourkela, India

Modeling Fundamental Properties of Liquids using molecular dynamics simulations.

• Developed a MATLAB model to determine the viscosity of organic solvents, enhancing the accuracy of experimental data interpretation.

• Used commercial software such as LAMMPS and NAMD to validate MATLAB model.

• Conducted cross-institutional research (IISc, bangalore), performing spectrophotometry and data analysis on environmental pollutants.

Tech used: MATLAB, LAMMPS, NAMD, ANSYS

In the News

LNVH DWSF Grant (2023) https://www.lnvh.nl/dws-fund

DKF Kolff+ Grant (2022) https://nierstichting.nl/nieuws/2023/01/nieuwe-vorm-van-peritoneale-dialyse-moet-de-behandeling-aantrekkelijker-maken/

MDR Young Talent Incentives (2021) https://mdrresearch.nl/2021/09/07/awardees-mdr-young-talent-incentives-program-2021/