Johan van Soest
Brightlands Institute for Smart digital Society (BISS)
Faculty of Science and Engineering
Maastricht University
Maastricht, The Netherlands
Email: j.vansoest at maastrichtuniversity.nl
| June 2021 - Present | Assistant professor Brightlands Institute of Smart digital Society (BISS), Maastricht University |
| March 2020 - June 2021 | Postdoctoral researcher Brightlands Insititute of Smart digital Society (BISS), Maastricht University |
| June 2017 - March 2020 | Postdoctoral researcher 1 Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre 2 Institute of Data Science, Maastricht University |
| June 2017 - present | Chief Technical Officer and co-founder of Medical Data Works B.V. Translate research software into clinical products and practice. |
| June 2016 - September 2016 | Visiting Research Scholar, University of Toronto Setting up a collaborating infrastructure to perform distributed machine learning on routine clinical datasets (nightly extraction of datasets). Special focus on cohort differences, and when to decide to re-train a prediction model. |
| July 2014 - September 2014 | Visiting Research Scholar, University of Sydney Setting up a collaborating infrastructure (equally as used in the VATE project) to perform distributed machine learning on routine clinical datasets (nightly extraction of datasets). Main reason to choose distributed machine learning is to keep datasets (and therefore patient information) in the hospitals. Instead, the candidate prediction models are sent to the local centers, rather than centralizing datasets. |
| August 2013 - June 2017 | PhD Student, Maastro Clinic. Involved in several projects aiming to make healthcare data interoperable, and to implement federated learning technologies to perform data analysis on remote interoperable data. |
| August 2012 - December 2020 | Technical Application Management, Maastro Clinic. Technical application manager for the CancerData.org image archive, and the CTMM-TraIT BioMedical Image Archive (bmia.nl). Both archives are used to store research-related DICOM information, which is anonymized before leaving the local hospital. |
| November 2011 - July 2012 | Scientific Research Project (SRP) / Master thesis for the Master Medical Informatics. Subject: Score Engineering - Optimizing the SOFA score for predicting intensive care mortality using evolutionary strategies. Description: Scoring systems are ubiquitous in medicine, especially in intensive care departments. We developed an evolutionary algorithm in R to optimize the SOFA score for mortality prediction. Evaluation of newly defined scoring schemes was performed using (bootstrapped) area under ROC (AUC), Brier score, and Hosmer-Lemeshow C statistic. |
| January 2011 - July 2011 | Internship at the Academic Medical Center, Amsterdam. Dept. of Medical Informatics collaborating with dept. of Geriatrics. Identification of risk factors for recurring falls in elderly patients, comprising of two tasks: 1.: Development of a clinical registry system for medical process control and data collection for research purposes. 2.: Analysis of collected data to identify risk factors for recurring falls using statistical analysis. Furthermore, automation of medication name correction using string similarity measures. |
| February 2009 - July 2009 | Graduation Internship Bachelor of ICT Internship at UMC St. Radboud Nijmegen, dept. of Nuclear medicine. Extension of their internally developed framework for application development. Final applications are used as plug-ins for Siemens Syngo e.soft workstation. Assignment was to extend the framework with tools for 3d visualisation and delineation, using IDL (Interactive Data Language). |
| 2013-2018 | Doctor of Philosophy (PhD)
Maastricht University Clinical Data Science in Radiotherapy Thesis (DOI): 10.26481/dis.20181128js |
||||
| 2010-2012 | Master Medical Informatics University of Amsterdam
|
||||
| 2009-2010 | Pre-Master Medical Informatics University of Amsterdam Components: Informatics, Care Information, Medicine |
||||
| 2005-2009 | Bachelor of ICT
Fontys University of Applied Science Major: Software Engineering Minor: Medical Technology |
| Period | Title | Funding organisation | Role | Description |
|---|---|---|---|---|
| 2022 - present | ELSA Lab Armoede en Schulden | Ministerie van Binnenlandse Zaken en Koninkrijksrelaties | Co-applicant | Developing an ethical, legal and societally accepted (ELSA) method to signal people at risk of poverty and/or debts. Including methods for (societally acceptable) interventions, and develop tools to oversee the consequences of new (local) governmental policies. |
| 2022 - present | Ketenzorg data analyse | Zorginstituut Nederland | Co-applicant | Developing a prototype for decentralized data analysis on vertically partitioned data (physical therapy and orthopedics), and identifying the roadblocks for scaling such an initiative. |
| 2021 - present | EPND | IMI | Contributor | Development of the European Platform for Neurodegenerative Diseases (EPND), specifically in the task of data harmonization and FAIRificiation. |
| 2021 - 2021 | SOPHIA | IMI | Contributor | Federeated learning on type 2 Diabetes cohorts in a public-private partnership using OMOP CDM and DataShield. |
| 2020 - 2021 | Decentrale kwaliteitsregistraties | Zorginstituut Nederland | Co-applicant | Developing a prototype for decentralized quality registries on horizontally partitioned data, and identifying the roadblocks for scaling such an initiative. |
| 2019 - 2021 | FAIRcomml | Varian Medical Systems | Main Applicant | Development and investigation into a software system to describe prediction models, and to link these models to FAIR data. For project results see https://fairmodels.org |
| 2019 - 2020 | Verantwoorde Waardecreatie door Data (VWData) | Nationale Wetenschaps Agenda (NWA) | Contributor | Distributed learning on vertical partitioned data sources. Specifically, enabling privacy-preserved analysis on information from a longitudinal cohort study and the national statistics agency (CBS). |
| 2018 - 2019 | FAIRsights | Varian Medical Systems | Main Applicant | Development and investigation into a software system to make clinical data FAIR (findable, accessible, interoperable and reusable). For project results see here |
| 2017 - 2021 | Limburg Meet (LIME) | Provincie Limburg | Contributor | Development of a communication platform between (medical) institutes in the Limburg region. Institutes are primary care, general hospitals and specialized care facilities. The goal is to minimize the data transfer and duplication needed, while enabling patients to give control over their data. |
| 2016 - 2018 | Data Quality | Netherlands eScience Center path finder | Co-applicant | Discovering and developing the need for hospitals to make data available for secondary use. |