Curriculum Vitae

Below you'll find a brief CV; for more details contact me.

Biography

Søren Hauberg is a professor in the Section for Cognitive Systems at the Technical University of Denmark. He received his PhD in computer science from the University of Copenhagen in 2011. During his PhD he spend 6 months as a visiting scholar at UC Berkeley working with Ruzena Bajcsy. Prior to pursuing a PhD he worked as a "digital lumberjack" in the startup Dralle A/S. He was a postdoc for two years at Perceiving Systems at the Max Planck Institute for Intelligent Systems working with Michael Black. In 2013, he was the sole computer science recipient of the Sapere Aude Research Talent award from the Danish Council for Independent Research, and in 2016 he was the sole computer science Villum Young Investigator. In 2017 he was further awarded a starting grant from the European Research Council. In 2018, he joined the Young Scientists community under the World Economic Forum, and was in the process named one of "10 of the most exciting young scientists working in the world today." In 2024, he recieved the ERC Consolidator grant from the European Research Council.

His research interest lie in the span of geometry and statistics. He develops machine learning techniques using geometric constructions, and works on the related numerical challenges. He is particularly interested in random geometries as they naturally appear in learning.

Education and Employments

2020 - Professor at the Section for Cognitive Systems at the Technical University of Denmark.
2017 -2019 Associate professor at the Section for Cognitive Systems at the Technical University of Denmark.
2014 - 2017 Postdoc at the Section for Cognitive Systems at the Technical University of Denmark.
2012 - 2014 Postdoc at the Perceiving Systems department at the Max Planck Institute for Intelligent Systems.
2011 - 2012 Postdoc at the department of computer science at the University of Copenhagen.
2008 - 2011 Phd in Computer Science from the University of Copenhagen.
2010 Visiting Scholar at CITRIS, UC Berkeley.
2008 Consultant in software and statistics at Dralle A/S.
2007 - 2008 Research assistant at the department of computer science at the University of Copenhagen.
2000 - 2007 Bachelor and Master's degree in Computer Science from the University of Copenhagen.
1994 - 2007 Various employments (dishwasher, secretary, toy salesman, teaching assistant, etc.)

Grants, Scholarships and Awards

2023 Consolidator grant from the European Research Council.
2023 EIC PathFinder grant for the i-Rase project (co-PI).
2022 Extension grant from Villum fonden as a follow-up to my Young Investigator grant.
2021 Best student paper award at Robotics: Science and Systems (R:SS).
2021 Co-PI of the MLLS research center funded by the Novo Nordisk Foundation.
2017 Starting grant from the European Research Council.
2016 Young Investigator grant from the Villum Foundation.
2016 Outstanding Reviewer Award from ICML 2016.
2015 Outstanding Reviewer Award from the Twenty-Eighth IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
2013 Sapere Aude: DFF- Research Talent award from the Danish Council for Independent Research.
2013 Postdoc grant from the Danish Council for Independent Research (Natural Sciences) to start at the Technical University of Denmark.
2011 Postdoc grant from the Villum Foundation to join the Max Planck Institute for Intelligent Systems. I was also offered a stipend from MPI for this position.
2008 My PhD was fully funded by a scholarship from the Faculty of Science, University of Copenhagen.
2007 My Master's thesis was supported by a grant from the Body and Mind research priority at the University of Copenhagen.

Contributions to popular science

May 11, 2023 Skal jeg være bange for AI?
Discussion piece at videnskab.dk on fear of AI (in Danish).
June 9, 2022 Kunstig intelligens tegner verdenskort for proteiner
Popular science piece at videnskab.dk on making maps of abstract worlds (in Danish; with Wouter Boomsma and Nicki Skafte Detlefsen).
June 14, 2020 Fremtidens verdenskort handler om magt og penge – og risikerer at gøre verden mere ulige
Popular science piece at videnskab.dk on bias in maps (in Danish; with Frederik Warburg). English version available at sciencenordic.com.
Dec 5, 2019 Computerne skal lære at tage fejl
Popular science piece at videnskab.dk on uncertainty quantification in machine learning (in Danish; with Martin Jørgensen and Nicki Skafte Detlefsen). English version available at sciencenordic.com.

Media coverage

March 19, 2024 Videnskab.dk did an interview with me on the latest Danish supercomputer.
March 19, 2024 DTU covered some of my work on identifiability.
March 7, 2024 TV 2 did an interview with me on AI in movie production.
January 12, 2024 The Telegraph covered our work on analysing and quantifying the taste of wine.
September 3, 2023 Interview in Berlingske on cultural biases in machine learning models..
August 9, 2023 Interview in Berlingske on ChatGPT becoming worse at math.
July 26, 2023 I was the morning guest on P1 radio.
June 23, 2023 A conversation with fellow professor Thomas Bolander on AI in mathematics in Ingeniøren (in print).
June 19, 2023 Interview in Børsen on hype and AI.
June, 2023 Interview in Forskerforum on student evaluations in a AI world (in print).
June 11, 2023 Podcast interview with Danmarks Radio (Danish national radio) about fear of AI.
June 7, 2023 Podcast interview at Ingeniøren on the role of AI in mathematics (with Thomas Bolander).
April 6, 2023 Article in Poltiken, Denmark's largest newspaper, about our work on quantifying the taste of wine.
January 25, 2023 Podcast interview on AI with Zetland.
January 8, 2023 Interview on the state of AI with Politiken, Denmark's largest paper.
December 20, 2022 Article in Poltiken, Denmark's largest newspaper, on the major scientific breakthroughs of 2022.
December 1, 2022 Article in Poltiken, Denmark's largest newspaper, discussing recent work on AI for playing games.
November 3, 2021 I featured on the `Tænketanken' podcast to discuss trustworthy AI.
July 17, 2021 MedicalXpress covered our paper in Cancers.
April, 2021 Illustreret Videnskab (Science Illustrated) did a profile interview with me (in Danish).
Oct 24, 2018 The ERC did a short video interview with me on the key issues of ML.
Sep 18, 2018 The World Economic Forum discussed my work and named me one of "10 of the most exciting young scientists working in the world today."
Sep 13, 2017 Science Report, a news outlet focused on science, did an interview with me.
May 10, 2016 Our work on data augmentation was discussed in Politken, the largest Danish newspaper.
June 25, 2011 Parts of my PhD work was covered in the engineering news magazine Ingeniøren.
May 25, 2011 Parts of my PhD work was presented on Danish national radio in Harddisken.
April 24, 2007 A robotics event I co-organised on Robot Karate appeared on both National and Local TV (DR1, Aftenshowet, and TV2 Lorry), as well as in the news papers (Berlingske, Ritzau, and Søndagsavisen).