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Hugo Lewi Hammer

Hugo Lewi Hammer

Job title
  • Professor
Visiting address
  • Pilestredet 35, 0166 Oslo
  • Office number: PS327
Phone
  • Mobile: +47 452 10 184
  • Office: +47 672 38 692
E-mail
  • hugo.hammer@oslomet.no
Affiliation

About

Hammer has a master in industrial mathematics from 2003 and a PhD in computational statistics from 2008. His main research interests are within improving reliability and transparency of machine learning, reinforcement learning and deep learning models by developing methods within model interpretation, uncertainty quantification, robust statistics and causal inference.

Field of study

Bayesian statistics   Regression   Artificial intelligence   Machine learning   Applied statistics   Stochastic simulation   Big Data

Research groups

Research projects

Completed research projects

Publications and research

Scientific publications

Tveter, Mats; Tveitstøl, Thomas; Hatlestad-Hall, Christoffer; Hammer, Hugo Lewi ; Haraldsen, Ira Hebold (2026). Uncertainty in deep learning for EEG under dataset shifts. Artificial Intelligence in Medicine. Vol. 174.
https://doi.org/10.1016/j.artmed.2026.103374

Kristensen, Anna Tostrup; Thune, Noora Helene; Khan, Qalbi; Utheim, Tor Paaske ; Hammer, Hugo Lewi ; Sehic, Amer (2026). Student perspectives on integrating basic and clinical dental sciences: insights from three dental schools in Norway. Frontiers in Dental Medicine. Vol. 7.
https://doi.org/10.3389/fdmed.2026.1746468

Tveitstøl, Thomas; Tveter, Mats; Hatlestad-Hall, Christoffer; Hammer, Hugo Lewi ; Engemann, Denis A.; Haraldsen, Ira Hebold (2025). Assessing the robustness of deep learning based brain age prediction models across multiple EEG datasets. IEEE Transactions on Biomedical Engineering.
https://doi.org/10.1109/TBME.2025.3639477

Hammer, Hugo Lewi ; Thambawita, Vajira; Riegler, Michael (2025). Reply: Foundation models in IVF: from speculation to implementation with FEMI. Human Reproduction. Vol. 41.
https://doi.org/10.1093/humrep/deaf227

Riegler, Michael ; Hellton, Kristoffer Herland ; Thambawita, Vajira L B; Hammer, Hugo Lewi (2025). Using large language models to suggest informative prior distributions in Bayesian regression analysis. Scientific Reports. Vol. 15.
https://doi.org/10.1038/s41598-025-18425-9

Hammer, Hugo Lewi ; Thambawita, Vajira; Riegler, Michael (2025). Foundation models: the next level of AI in ART. Human Reproduction. Vol. 40.
https://doi.org/10.1093/humrep/deaf136

Duric, Adrian; Tørresen, Jim; Riegler, Michael ; Hammer, Hugo Lewi (2025). Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. IEEE International Symposium on Computer-Based Medical Systems.
https://doi.org/10.1109/CBMS65348.2025.00125

Thune, Noora Helene; Kristensen, Anna Tostrup; Khan, Qalbi; Utheim, Tor Paaske ; Hammer, Hugo Lewi ; Sehic, Amer (2025). Retention of skull anatomy knowledge in dental education: a comparative study. Frontiers in Dental Medicine. Vol. 6.
https://doi.org/10.3389/fdmed.2025.1596610

Sharma, Akriti; Dorobantiu, Alexandru; Ali, Saquib; Iliceto, Mario; Stensen, Mette Haug; Delbarre, Erwan ; Riegler, Michael ; Hammer, Hugo Lewi (2025). Deep learning methods to forecasting human embryo development in time-lapse videos. PLOS ONE. Vol. 20.
https://doi.org/10.1371/journal.pone.0330924

Thune, Noora Helene; Kristensen, Anna Tostrup; Sehic, Amer; Brox, Julie Marie Haabeth; Utheim, Tor Paaske ; Hammer, Hugo Lewi ; Khan, Qalbi (2025). Comparing the Effectiveness of Human Extracted Teeth and Plastic Teeth in Teaching Dental Anatomy. Dentistry Journal. Vol. 13.
https://doi.org/10.3390/dj13030105



See all publications


These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Research reports

Hammer, Hugo Lewi ; Riegler, Michael Alexander ; Delbarre, Erwan ; Stensen, Mette Haug; Sharma, Akriti (2025). Application of Artificial Intelligence in Assisted Reproductive Technology. ISBN: 9788283646696. 243 p. OsloMet - storbyuniversitetet.
https://hdl.handle.net/11250/4963767

Filho, Sidney Pontes; Nichele, Stefano; Yazidi, Anis ; Zhang, Jianhua ; Hammer, Hugo Lewi ; Sandvig, Ioanna; Tufte, Gunnar (2023). Optimization of dynamical systems towards criticality and intelligent behavior. ISBN: 9788232669530. Norges teknisk-naturvitenskapelige universitet.
https://hdl.handle.net/11250/3054723

Thambawita, Vajira; Jha, Debesh; Riegler, Michael ; Halvorsen, Pål ; Hammer, Hugo Lewi ; Johansen, Håvard D.; Johansen, Dag (2018). The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. 3 p. MediaEval 2018, arXiv:1810.13278, Cornell University.
https://hdl.handle.net/11250/4965311

Hammer, Hugo Lewi ; Haugan, John (2013). Matematikk og beregninger. 350 p. Høgskolen i Oslo og Akershus.
https://hdl.handle.net/11250/3421176

Mørken, Knut Martin; Malthe-Sørensen, Anders; Simonsen, Ingve; Hammer, Hugo Lewi ; Vatne, Jon Eivind; Nøst, Elisabeth; Løyning, Terje Brinck; Dahl, Lars Oswald; Sasaki, Nina (2011). Computing in Science Education. A guide for universities and colleges in Norway. 34 p. Universitetet i Oslo.
https://hdl.handle.net/11250/5051680

Mørken, Knut Martin; Simonsen, Ingve; Malthe-Sørensen, Anders; Hammer, Hugo Lewi ; Løyning, Terje Brinck; Vatne, Jon Eivind; Nøst, Elisabeth; Dahl, Lars Oswald; Sasaki, nina (2011). Beregninsorientert utdanning: En veileder for universiteter og høgskoler i Norge. 34 p. Universitetet i Oslo.
https://hdl.handle.net/11250/3424890

Hammer, Hugo Lewi (2008). Topics in stochastic simulation, with an application to seismic inversion. Norges teknisk-naturvitenskapelige universitet.
https://hdl.handle.net/11250/258141



These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.

Dissemination

Papachrysos, Nikolaos; Smedsrud, Pia Helen; Ånonsen, Kim Vidar; Berstad, Tor Jan; Espeland, Håvard; Petlund, Andreas; Hedenström, Per; Halvorsen, Pål ; Varkey, Jonas; Hammer, Hugo Lewi ; Riegler, Michael ; Lange, Thomas de (2024). A comparative study benchmarking colon polyp detection with CADe software. Endoscopy. Vol. S02.
https://doi.org/10.1055/s-0044-1782889

Storås, Andrea; Fineide, Fredrik; Hammer, Hugo Lewi ; Khan, Ayyad Ahmad Zartasht; Magnø, Morten Schjerven; Chen, Xiangjun; Halvorsen, Pål ; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout. Investigative Ophthalmology and Visual Science.
https://hdl.handle.net/11250/4319262

Fineide, Fredrik; Storås, Andrea; Magnø, Morten Schjerven; Hammer, Hugo Lewi ; Chen, Xiangjun; Khan, Ayyad Ahmad Zartasht; Halvorsen, Pål ; Utheim, Tor Paaske ; Riegler, Michael Alexander (2023). Predicting the degree of meibomian gland dropout with artificial intelligence. Investigative Ophthalmology and Visual Science.
https://hdl.handle.net/11250/5091576

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Andersen, Jorunn Marie ; Witczak, Oliwia ; Haugen, Trine B. ; Hammer, Hugo Lewi ; Nguyen, Thu; Halvorsen, Pål ; Riegler, Michael Alexander (2023). Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. CEUR Workshop Proceedings.
https://hdl.handle.net/11250/3997348

Thambawita, Vajira; Hicks, Steven A.; Storås, Andrea; Andersen, Jorunn Marie ; Witczak, Oliwia ; Nguyen, Thu; Haugen, Trine B. ; Hammer, Hugo Lewi ; Riegler, Michael ; Halvorsen, Pål (2023). Medico multimedia task at MedialEval: transparent tracking of spermatozoa. 22nd European Testis Workshop. European Testis Workshops/EMBO.
https://hdl.handle.net/11250/4851743

Sharma, Akriti; Kakulavarapu, Radhika; Thambawita, Vajira L B; Siddiqui, M.; Delbarre, Erwan ; Riegler, Michael; Hammer, Hugo Lewi ; Stensen, Mette Haug (2022). Automating tracking of cell division for human embryo development in time lapse videos. Human Reproduction. Vol. 37.
https://doi.org/10.1093/humrep/deac107.233

Hicks, Steven; Thambawita, Vajira L B; Storås, Andrea; Haugen, Trine B. ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander ; Stensen, Mette Haug (2022). P-272 Automatic Tracking of the ICSI procedure using Deep Learning. Human Reproduction. Vol. 37.
https://doi.org/10.1093/humrep/deac107.261

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Witczak, Oliwia ; Andersen, Jorunn Marie ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander ; Haugen, Trine B. (2022). P-108 Real-time deep learning based multi object tracking of spermatozoa in fresh samples. Human Reproduction.
https://doi.org/10.1093/humrep/deac107.104

Thambawita, Vajira L B; Haugen, Trine B. ; Stensen, Mette Haug; Witczak, Oliwia ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael A. (2021). Identification of spermatozoa by unsupervised learning from video data. ESHRE virtual 37th Annual Meeting. European Society of Human Reproduction and Embryology.
https://hdl.handle.net/11250/3702421

Sharma, Akriti; Haugen, Trine B. ; Hammer, Hugo Lewi ; Riegler, Michael A.; Stensen, Mette Haug (2021). Towards better explainable deep learning models for embryo selection in ART. ESHRE virtual 37th Annual Meeting. European Society of Human Reproduction and Embryology.
https://hdl.handle.net/11250/5155205



See all publications


These publications are obtained from Norwegian Research Information Repository. The list may be incomplete.
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