Draft:Daniel Bojar

or multiple published secondary sources that:

Draft:Daniel Bojar
  • Comment: I can't say I see this meeting the criteria at WP:NACADEMIC and a lot of the GNG-style citations mostly focus on the subject's work in a mix of interview or PR-release style sources but lack the depth and focus on the subject here. I think the use of citations and balance between primary sources versus what they are being used to verify is mostly acceptable given this is an autobiography (please see Wikipedia:Autobiographies if you have not already), but like I said: I think notability is the challenge with this subject at the current moment. Bobby Cohn 🍁 (talk) 13:30, 30 April 2026 (UTC)

Daniel Bojar (born in Nuremberg, Germany) is a German computational biologist and associate professor of bioinformatics at the University of Gothenburg.[1] His research applies deep learning to glycobiology, treating glycans (complex carbohydrates) as a biological language amenable to natural language processing methods, an approach profiled in Quanta Magazine.[2][3] His group's comparative study of mammalian milk, which found that Atlantic grey seal milk rivals human milk in molecular complexity, was reported in The New York Times, Smithsonian Magazine, and Chemical & Engineering News.[4][5][6] He was named to the Forbes 30 Under 30 Europe list in 2022, received an ERC Starting Grant in 2025, and was appointed a Future Research Leader by the Swedish Foundation for Strategic Research in 2025.[7][8][9]

Education

Bojar studied biochemistry at the University of Tübingen (B.Sc., 2014) and biophysics at ETH Zurich (M.Sc., 2016).[10] He completed his Ph.D. in 2019 at ETH Zurich under the supervision of Martin Fussenegger, with a thesis on mammalian synthetic biology.[11]

Career

From 2019 to 2020, Bojar conducted postdoctoral research in the laboratory of James J. Collins at the Massachusetts Institute of Technology and the Wyss Institute for Biologically Inspired Engineering at Harvard University, where he began applying deep learning to glycobiology.[10][12] In January 2021, he joined the University of Gothenburg as an assistant professor and was subsequently promoted to tenured associate professor in bioinformatics.[1] He holds a joint appointment at the Department of Chemistry and Molecular Biology and the Wallenberg Centre for Molecular and Translational Medicine.[1] He is also a group leader at SciLifeLab, Sweden's national infrastructure for molecular biosciences.[13]

Research

Computational glycobiology

During his postdoctoral work, Bojar and colleagues developed machine learning models that treated glycan sequences as analogous to natural language and applied deep learning methods to predict glycan properties and host–microbe interactions.[3] Quanta Magazine profiled this approach as part of a broader effort to decode what it described as a "language" used by cells, noting that the models identified shared structural patterns across organisms' glycans.[2] His doctoral research had included development of a caffeine-inducible gene expression system for potential treatment of diabetes mellitus, published in Nature Communications, a line of work in synthetic biology that preceded his shift toward computational methods,[14] which attracted international media attention, including coverage in The Guardian.[15]

His group has since released several open-source tools for glycan analysis. These include glycowork, a Python package for glycan data science;[16] LectinOracle, a model for predicting lectin–glycan binding;[17] and CandyCrunch, a deep learning method for predicting glycan structures from mass spectrometry data, published in Nature Methods.[18] In 2024, the Royal Swedish Academy of Engineering Sciences (IVA) included Bojar's work on AI-driven glycan analysis for precision health in its annual 100 List of research projects with high potential for societal impact.[19]

Milk glycomics

Bojar's group has conducted comparative milk glycomics across mammalian species. A 2025 study published in Nature Communications reported that Atlantic grey seal milk contains 332 unique oligosaccharides, approximately one-third more than human breast milk, including 166 structures not previously documented in any species.[20] Reporting on the study, The New York Times described milk as "almost like a magical fluid" and noted that the oligosaccharide diversity reflects the seals' adaptation to a short seventeen-day nursing period.[4] Smithsonian Magazine reported that the findings could lead to identifying compounds for infant nutrition and immune support.[5] Russ Hovey, a professor of animal science at the University of California, Davis who was not involved with the study, told The New York Times that the results were significant for understanding lactation biology.[4]

In 2025, Bojar received an ERC Starting Grant for a project titled "SweetSwap," which aims to map glycans on nuclear proteins and investigate their role in health and disease.[8][21]

Awards and honours

References

  1. ^ a b c "Daniel Bojar". University of Gothenburg. Retrieved 2026-04-27.
  2. ^ a b Crowell, Rachel (2021-05-03). "Researchers Read the Sugary 'Language' on Cell Surfaces". Quanta Magazine. Retrieved 2026-04-29.
  3. ^ a b Bojar, D.; Powers, R.K.; Camacho, D.M.; Collins, J.J. (2021). "Deep-Learning Resources for Studying Glycan-Mediated Host-Microbe Interactions". Cell Host & Microbe. 29 (1): 132–144. doi:10.1016/j.chom.2020.10.004. PMID 33120114.
  4. ^ a b c Golembiewski, Kate (2025-11-25). "Seal Milk Is the Cream of the Molecular Crop". The New York Times. Retrieved 2026-04-27.
  5. ^ a b Bassi, Margherita (2025-12-03). "The Mammal With the Most Complex Milk Might Not Be Humans, After All. The Atlantic Gray Seal Could Take That Title". Smithsonian Magazine. Retrieved 2026-04-27.
  6. ^ Barbu, Brianna (2025-11-25). "Wild seal milk rivals human milk in sugar complexity". Chemical & Engineering News. Retrieved 2026-04-27.
  7. ^ a b "Daniel Bojar". Forbes. Retrieved 2026-04-27.
  8. ^ a b c "21 researchers in Sweden to receive an ERC Starting Grant 2025". Swedish Research Council. 2025-09-04. Retrieved 2026-04-30.
  9. ^ a b "They are the Research Leaders of the Future – FFL9!". Swedish Foundation for Strategic Research. 2025-06-19. Retrieved 2026-04-30.
  10. ^ a b c "Daniel Bojar". Branco Weiss Fellowship – Society in Science. Retrieved 2026-04-27.
  11. ^ Bojar, Daniel (2019). Making Use of Caffeine to Wake Up Mammalian Synthetic Biology: Platforms and Applications (Doctoral thesis). ETH Zurich. doi:10.3929/ethz-b-000345465. hdl:20.500.11850/345465.
  12. ^ Brownell, Lindsay. "Learning the Language of Sugars". Wyss Institute for Biologically Inspired Engineering. Retrieved 2026-04-29.
  13. ^ "Daniel Bojar". SciLifeLab. Retrieved 2026-04-30.
  14. ^ Bojar, D.; Scheller, L.; Charpin-El Hamri, G.; Xie, M.; Fussenegger, M. (2018). "Caffeine-inducible gene switches controlling experimental diabetes". Nature Communications. 9 (1) 2318. Bibcode:2018NatCo...9.2318B. doi:10.1038/s41467-018-04744-1. PMC 6008335. PMID 29921872.
  15. ^ Sample, Ian (2018-06-19). "Could coffee replace insulin injections for diabetics?". The Guardian. Retrieved 2026-04-30.
  16. ^ Thomès, L.; Burkholz, R.; Bojar, D. (2021). "Glycowork: A Python package for glycan data science and machine learning". Glycobiology. 31 (10): 1240–1244. doi:10.1093/glycob/cwab067. PMC 8600276. PMID 34192308.
  17. ^ Lundstrøm, J.; Korhonen, E.; Lisacek, F.; Bojar, D. (2022). "LectinOracle: A Generalizable Deep Learning Model for Lectin–Glycan Binding Prediction". Advanced Science. 9 (1) e2103807. Bibcode:2022AdvSc...903807L. doi:10.1002/advs.202103807. PMC 8728848. PMID 34862760.
  18. ^ Urban, J.; Jin, C.; Thomsson, K.A.; Karlsson, N.G.; Ives, C.M.; Fadda, E.; Bojar, D. (2024). "Predicting glycan structure from tandem mass spectrometry via deep learning". Nature Methods. 21 (7): 1206–1215. doi:10.1038/s41592-024-02314-6. PMC 11239490. PMID 38951670.
  19. ^ "AI-Driven Glycan Analysis for Precision Health". Royal Swedish Academy of Engineering Sciences. Retrieved 2026-04-30.
  20. ^ Jin, C.; Lundstrøm, J.; Cori, C.R.; et al. (2025). "Seal milk oligosaccharides rival human milk complexity and exhibit functional dynamics during lactation". Nature Communications. 16 (1) 10067. Bibcode:2025NatCo..1610067J. doi:10.1038/s41467-025-66075-2. PMC 12647773. PMID 41290693.
  21. ^ "ERC grant for Bojar's research on glycans". University of Gothenburg. Retrieved 2026-04-27.
  22. ^ "Awards". 32nd International Carbohydrate Symposium (ICS 2026). Retrieved 2026-04-30.
  23. ^ "Pristagare". Jeanssons Stiftelser. Retrieved 2026-04-30.
  24. ^ "Jeansson Foundations: Bojar one of two receivers of the 2024 personal prize". University of Gothenburg. 2024-02-02. Retrieved 2026-04-30.


Category:Living people Category:German bioinformaticians Category:Academic staff of the University of Gothenburg Category:ETH Zurich alumni Category:University of Tübingen alumni Category:Computational biologists Category:Machine learning researchers

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