Academic CV

Education

Experience

Assistant professor, Eindhoven University of Technology, 2017-2020. 

Postdoctoral researcher, Erasmus Medical Center, 2015-2016

Visiting researcher, MPI Intelligent Systems, Tübingen, Germany, 2013

Ph.D. researcher, Delft University of Technology, The Netherlands, 2011-2015

M.Sc. intern Prime Vision, Delft, The Netherlands, 2010. Project on outlier detection. 

Programmer (part-time), 2006-2010. Web development at Dreamsolution, software testing at Tjip, freelaance projects.

Grants and awards

Awarded

  • Van Gogh grant (EUR 6K) for collaboration with University of Rouen, France (2020)
  • NWO Lerarenbeurs (2019), ~ EUR 250K for a project on multi-task learning for explainable AI. Main applicant Ralf Raumanns.
  • Mozilla Open Science mini-grant (2019), USD 10K for organizing a workshop on open and inclusive academia
  • TU Eindhoven Education Innovation funding (2018), EUR 120K internal funding for projects to improve medical image analysis courses (together with Dr. Mitko Veta and Dr. Joaquin Vanschoren).
  • NVIDIA GPU Grant (2018), Titan XP GPU worth USD 1149.99
  • Winner Lorentz-eScience competition 2017, EUR 15K for organizing a workshop “Crowdsourcing for medical image analysis”
  • Winner Pallas Ludens Academic Challenge, 2016, EUR 5K for crowdsourcing project
  • Travel scholarship Delft University of Technology, 2013, EUR 2.5K for visiting MPI Tuebingen for 3 months
  • Travel scholarship ACM-W/Microsoft, 2013. EUR 1.2K for visiting Multiple Classifier Systems conference in Nanjing, China

Honorable mentions

Teaching

TU Eindhoven

Erasmus Medical Center

  • Introduction to medical imaging, 2015-2016. MSc course for medical students, 1-2 lectures per year

TU Delft

Advising

Supervision PhD researchers

  • Ralf Raumanns (2019 – current) – project on multi-task learning for explainable AI
  • Ishaan Bhat (2019 – 2020) – project on learning from limited labeled data in liver MRI. Ishaan transferred to a different supervisor due to me leaving TU Eindhoven. 

Supervision MSc & visiting students

  • Irma van den Brandt (2020, internship) – Transfer learning from (non)-medical datasets
  • Britt Michels (2019-2020) – Evaluation of medical image segmentation
  • Colin Nieuwlaat (2019-2020) – Transfer learning & dataset shift
  • Rumjana Romanova (2019-2020) – Stability of deep multiple instance learning
  • Tom van Sonsbeek (2018-2019) – Meta-learning for medical image segmentation
  • Linde Hesse (2018-2019) – Lung nodule detection in spectral CT
  • Elif Kübra Çontar (2018, internship) – Melanoma classification with crowdsourced labels

Supervision BSc students

  • Bas Mulders, Felix Schijve (2020) – Meta-features for (non)-medical datasets
  • Thaomi Tran, Max Joosten (2020) – Multi-task learning with crowdsourced features
  • Ivana Rovers, Francoise Brouckaert (2020) – Uncertainty in liver segmentation 
  • Marjolein Pijper (2019) – Semi-supervised learning for liver segmentation
  • Audrey Pfeiffer, Sanne Mevissen, Emiel Roefs (2019) – Feature extraction for skin lesion images
  • Floris Fok (2018) – Transfer learning from non-medical images
  • Merel Eussen (2018) – Crowdsourcing in chest CT images
  • Marco van Tilburg, Timo van Limpt (2018) – Crowdsourcing for registration in chest CT
  • Dylan Dophemont (2016) – A purposeful game for medical image annotation

PhD defense committee

  • Annegreet van Opbroek, “Transfer learning for medical image segmentation”, Erasmus Medical Center, 2018
  • Jean-Paul Charbonnier, “Segmentation and quantification of airways and blood vessels in chest CT”, University of Nijmegen, 2017

MSc defense committee

  • Teun van Westenberg, Anouk van Rijn, Luc Hendriks, Vera Vos, Evi Huijben (2020)
  • Daan Meister (2019), Marloes Adonk (2019, TU Delft)
  • Tim Beishuizen, Mark Janse, Jesper Pilmeyer, Pascal van Beek (2018)
  • Carlijn Bakker, Shefali Chand (2017)
  • Dimitrios Palachanis (2014, TU Delft)
  • Gijs van Tulder (2012, TU Delft)

Mentoring

I’m part of a formal mentorship program for MSc students at Eindhoven University of Technology, where I’m mentoring several students per year:

  • Yi He Zhu, Robert van Dijk, Naomi de Kruif  (2019 – )
  • Renate Doormaal, Dieter Timmers (2018 – )
  • Britt Michels, Evi Huijben (2017 – 2020)

Professional service

Organization leadership

  • Social media chair MICCAI 2020 (largest medical imaging conference), 2019-2020. 
  • Committee member Women in MICCAI, 2017-2018, committee to strengthen the representation of female scientists in medical imaging
  • Board member NVPHBV (Dutch society of Pattern Recognition and Image Processing), 2014-current. Treasurer between 2014-2018.
  • Board and committee member W.I.S.V. ‘Christiaan Huygens’, society for computer science and mathematics students. Full-time board member (2007-2008), supervising committees in organizing events.

Workshop chair or co-chair

  • Avengers for Better Science, Leiden, The Netherlands, 2019
  • Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS), Granada, Spain, 2018
  • Crowdsourcing for Medical Image Analysis, Leiden, The Netherlands, 2018
  • Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS), Quebec City, Canada, 2017
  • Meetings of the Dutch Society of Pattern Recognition and Image Processing (NVPHBV), The Netherlands. 50-60 participants each
  • Features and Structures (FEAST) workshop at International Conference on Machine Learning (ICML 2015), Lille, France. 170 registered participants.
  • Features and Structures (FEAST) workshop at International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden. 70 registered participants

Reviewing

A verified record of my reviews can be found on my Publons page.

Grant reviewing

  • Astra Zeneca grant (2020)
  • ETH postdoc fellowship (2018)

Publications

Please see this page or my Google Scholar page for an up-to-date list of publications.

Talks

I have given several invited and contributed talks at international and national conferences. I have also given several talks focusing on outreach and career development. For a full list please see this page.

Outreach

I use this website (http://www.veronikach.com) and Twitter (@drveronikach) to communicate about my research and about academic life. My work has been featured in various media.. 

I’ve given various career orientation talks to high-school and university students, and early career researchers. From 2014 to 2019 I was also giving talks at events organized by VHTO (Dutch national organization on girls/women and science and technology) which encourages girls to study technical subjects.

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