Staff Research Scientist

Spotify / TU Delft (NL)


  • SIGIR 2022 paper led by Nirmal Roy accepted: Users and Contemporary SERPs: A (Re-)Investigation.
  • One more PhD defense to celebrate in my lab: Felipe Moraes defended his PhD thesis on the topic of Examining the Effectiveness of Collaborative Search Engines in February 2022
  • Starting from August 2021 I work at Spotify, with a part-time appointment at TU Delft.
  • Three works made it into ICTIR 2021. Led by three PhD students from my team, Nirmal Roy (interaction models for IR), Peide Zhu (question generation), and Sara Salimzadeh (entity cards - this work got an honorable mention ). Supported by David Maxwell and Arthur Câmara.
  • I gave a talk (04/2021) at the UMass CIIR Talk Series and presented my team’s Search As Learning research.
  • I gave a keynote (04/2021) at the Workshop on Mixed-Initiative ConveRsatiOnal Systems 2021 co-hosted at ECIR; the slides are available here.
  • Our ECIR demo LogUI: Contemporary Logging Infrastructure for Web-Based Experiments (led by David Maxwell) received the “Best Demo Award.”
  • Our CHIIR paper Searching to Learn with Instructional Scaffolding (led by Arthur Câmara) received the “Best Student Paper Award.” Watch the paper’s video presentation on YouTube.
  • Full paper accepted at EACL 2021: On the Calibration and Uncertainty of Neural Learning to Rank Models, led by Gustavo Penha.

My career

For a brief and compact overview, take a look at my 1-page CV.

I joined Spotify in August 2021, initially for a sabbatical and then switching to a permanent role in April 2022 as Staff Research Scientist.

I maintain a part-time faculty position at TU Delft. I have been working as staff member (first as Assistant Professor and since 2018 as Associate Professor) at the Web Information Systems group, Delft University of Technology since 2013. Between 2011 and 2012 I was a Postdoc in the same group. I received my PhD in 2010 from the University of Twente, where I worked in the Human Media Interaction group. The Otto-von-Guericke University of Magdeburg in Germany was my home during my undergraduate years as a student in computer science. In the past, I have worked on a variety of topics in the fields of information retrieval & data science, including query performance prediction (the topic of my PhD thesis), social search, computational social science, learning to search and IR for specific user groups.

I have diverse research interests and am always happy to dive into a new area. Together with a number of PhD students at TU Delft I am currently focusing on how to incorporate search into the human learning process at scale, collaborative search, and conversational search. For the latter, I am also maintaining a list of conversational venues and datasets. In 2016 and 2017 I received two prestigious personal grants from the Netherlands Organisation for Scientific Research (NWO) with a total funding of more than 1 million euros; this translates into 4-5 PhD/postdoc positions in the developing “search as learning” research area. Take a look at the Dagstuhl Seminar I co-organized on the topic to get an idea of what it is about.

In 2018, I gave an invited keynote at the French IR conference CORIA 2018 on the topic of search as learning.

In 2021, I gave an invited keynote at the MICROS workshop, co-hosted at ECIR 2021 on the topic of conversational search.


Email: claudia.hauff[at]

Current members of my TU Delft lab

  • David Maxwell (postdoc, since 03/2020)
  • Arthur Barbosa Câmara (PhD student, since 11/2018)
  • Gustavo Penha (PhD student, since 11/2018)
  • Nirmal Roy (PhD student, since 09/2019)
  • Peide Zhu (PhD student, since 11/2019)

Past members of my TU Delft lab

TU Delft lab software

  • LogUI: A contemporary, framework-agnostic JavaScript library for logging user interactions on webpages. Lead developer is David Maxwell.
  • ELAT: EdX Logfile Analysis Tool that is browser-based, and a fully local processing tool. No server needed, no programming knowledge needed, no setup costs. Lead developer is Manuel Valle Torre.
  • SearchX is a scalable collaborative search system, developed to research large-scale search and sensemaking experiments. Lead developer is Felipe Moraes.
  • APONE is an academic environment for online experiments, that we have used in our research and teaching. Lead developer is Mónica Marrero.
  • SIREN is a simulation framework for understanding the effects of recommender systems in online news environments. Lead developer is Dimitrios Bountouridis.


  • NWO Aspasia grant (100,000€) as a top-up of my NWO VIDI (50K for my research, 50K for diversity measures in the faculty), September 2018.
  • NWA Startimpulsprogramma VWData (325,000€) awarded together with 2 co-PIS. A two-year Postdoc position will be funded within a work package that considers fairness in news recommenders.
  • NWO VIDI grant (800,000€) for my proposal SearchX: Integrating search and sensemaking into large-scale open online learning, May 2017 (personal grant, 15% acceptance rate)
  • NWO TOP grant (226,000€) to conduct “innovative or high-risk scientific research that addresses questions of high quality and urgency;” specifically I will push the boundaries of large-scale collaborative search, November 2016 (personal grant, 23% acceptance rate)
  • Grant (33,000€) from the Leiden-Delft-Erasmus Centre for Education and Learning to conduct research on the benefits of eyetracking in massive open online learning, November 2016
  • TU Delft Education Research tender (2,500€, 1 co-PI) to bring real-time teaching and learning analytics into the classroom, July 2016
  • TU Delft Study Success tender (3,000€, 1 co-PI) to further improve teaching in the Bachelor, September 2015
  • TU Delft Blended Education tender (10,000€, 1 co-PI) to improve teaching in the Bachelor, September 2014

Organizational duties and activities