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58 search results for “machine learning” in the Student website

• 
  Sietse Schröder PhD candidate / self funded

  Faculty of Science

• 
  Frans Rodenburg Lecturer

  Faculty of Science

• 
  Wouter van Loon Guest

  Social & Behavioural Sciences

• This platform is making machine learning more transparent and accessible News - 21 July 2025

  What began as a PhD project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is contributing to open science, aiming to make machine learning more transparent, accessible, and fair.

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  Fabrizio Corriera PhD candidate

  Faculty of Science

• 
  Anna Dawid-Lekowska Assistant professor

  Faculty of Science

• 
  I-Fan Lin PhD candidate

  Faculty of Science

• 
  Philipp Kropf PhD candidate

  Faculty of Science

• 
  Christos Athanasiadis Lecturer

  Faculty of Science

• 
  Simon Marshall Postdoc/guest

  Faculty of Science

• 
  Surendra Balraadjsing PhD candidate

  Faculty of Science

• 
  Michael Lew Professor Deep Learning

  Faculty of Science

• 
  Rayyan Toutounji Researcher

  Social & Behavioural Sciences

• 
  Mathieu Cherpitel PhD candidate

  Faculty of Science

• 
  Guilherme D'Andrea Curra PhD candidate

  Faculty of Archaeology

• 
  Gerard van Westen Professor Artificial Intelligence & Medicinal Chemistry

  Faculty of Science

• 
  Kiana Shahrasbi PhD candidate

  Faculty of Science

• 
  Tom Kouwenhoven Postdoc

  Faculty of Science

• 
  Matthijs van Leeuwen Associate professor/Director of Education

  Faculty of Science

• 
  Alex Brandsen Postdoc

  Faculty of Archaeology

• 
  Chen Li Guest researcher

  Faculty of Science

• 
  Aske Plaat Professor of Data science

  Faculty of Science

• 
  Marjolein Fokkema Associate professor

  Social & Behavioural Sciences

• 
  Felix Frohnert PhD candidate

  Faculty of Science

• 
  Hongchang Shan PhD candidate / guest

  Faculty of Science

• 
  Julian Karch Assistant professor

  Social & Behavioural Sciences

• 
  Mert Yazan PhD candidate / self funded

  Faculty of Science

• 
  Matt Young Assistant professor

  Faculty of Governance and Global Affairs

• 
  Fons Verbeek Professor of Computational Bio-imaging

  Faculty of Science

• 
  Tom Wilderjans Associate professor

  Social & Behavioural Sciences

• 
  Bertram de Boer PhD candidate / guest

  Faculty of Science

• 
  Nuno De Mesquita César de Sá Guest PhD candidate

  Faculty of Science

• 
  Ruchella Kock Guest

  Social & Behavioural Sciences

• 
  Jan van Rijn Assistant professor

  Faculty of Science

• 
  Evert van Nieuwenburg Assistant Professor

  Faculty of Science

• 
  Guillermo Guerrero PhD candidate

  Faculty of Science

• 
  Md Faysal Tareq PhD candidate

  Faculty of Science

• 
  Alina Karakanta Assistant professor

  Faculty of Humanities

• 
  Daniel Vale External PhD candidate

  Faculty of Law

• 
  Elise Dusseldorp Professor Methodology and Statistics in Psychology

  Social & Behavioural Sciences

• Satellite data and algorithms reveal which ships emit excessive nitrogen News - 22 November 2024

  Ships are still emitting too much nitrogen oxide. Till now it has been impossible to measure this at sea, but that is set to change. Solomiia Kurchaba combined satellite data and developed algorithms to identify which ships are emitting too much. Kurchaba received her PhD on 11 June.

• 
  Niki van Stein Associate professor

  Faculty of Science

• Using AI to track greenhouse gas emissions News - 11 November 2025

  PhD candidate Julia Wąsala searches for greenhouse gas emissions in satellite data. As a computer scientist, she bridges the gap between computer science and space research. ‘We really can't do this research without collaboration.’

• 
  Yingjie Fan Assistant Professor

  Faculty of Science

• 
  Jian Wang Visiting researcher

  Social & Behavioural Sciences

• 
  Maximilian Kiss PhD candidate / self funded

  Faculty of Science

• 
  Ben van Werkhoven Assistant professor

  Faculty of Science

• 
  Babak Rezaeedaryakenari Associate professor

  Social & Behavioural Sciences

• Developing methods on remote sensing detection of archaeological features in Colombia with LDE grant News - 18 January 2024

  A Leiden-Delft-Erasmus research team has been awarded a LDE Global Support Grant to develop reusable algorithms in the remote detection of non-orthogonal architectural features, taking place in the archaeological context of the northern extremities of the Andean, part of the Istmo-Colombian Area.

• 
  Pingtao Ding Assistant professor

  Faculty of Science