CV

Education

• Ph.D in Statistics, University of California at Berkeley, Dec 2001
• M.S. in Engineering Physics, Lund Institute of Technology, June 1996

Academic Appointments

• 2016 - present: Professor
  • Department of Mathematical Sciences
  • University of Gothenburg/Chalmers University of Technology
• 2009 - 2016: Associate Professor
  • Department of Mathematical Sciences
  • University of Gothenburg/Chalmers University of Technology
• 2008: Tenured Associate Professor
  • Department of Statistics and Biostatistics
  • Rutgers University
• 2002 - 2008: Tenure track Assistant Professor
  • Department of Statistics and Biostatistics
  • Rutgers University

Service and leadership

• 2018 - present: Vice-dean for research and research infrastructures
  • Faculty of Science
  • University of Gothenburg
• 2024 academic service
  • Member of WASP-DDLS panel, joint WASP/WASP-HS/DDLS conference committee
  • Panel member grant application evaluations DDLS WABI
  • NRC (Norweigian research council) evaluation of Mathematics, ICT and Technology. Chair of the area and university committees. Member of the national committee.
  • External reviewer: KTH associate professor in mathematical statistics, KTH DDLS assistant professor, LiU professor promotion, UU docent promotion, UmU docent promotion.
  • Opponent KTH, Thesis committee KTH, SU

Current grants and awards

• Vetenskapsrådet (Swedish Research Council) Project Research Grant, ”Investigating deep learning through the lense of adaptive kernels”, 2025-2029. VR 2024-05762 4MKr. (PI)
• SSF MRC grant: ”CNSx3: Person-centered brain-on-chip models for data-accelerated therapeutic research” 60MKr. (1 PhD student to Jörnsten + 500tKr).
• Swedish Energy Agency. ”FEAT: Fordonshantering för effektiva och hållbara elekriska mikromo- bilitetssystem” 2023-2024. Postdoc grant. co-PI (PI Jiaming Wang, co-PI Balazs Kulcsar). (5% research)
• Knut & Alice Wallenberg foundation. ”The Routes of Glioblastoma and their Patient-Specific Vul- nerabilities”. 2023-2028. co-PI. PI Sven Nelander. (38MKr, 3.9MKr for Jörnsten).
• Wallenberg Foundation (WASP) PhD grant. ”Evaluated mutual information bounds for learning and meta-learning”. 2023-2028. co-PI. (PI Giuseppe Durisi) (1 fully funded PhD student, 5% research for Jörnsten)
• WASP-DDLS postdoc grant. ”Massively parallel in vivo gene editing and AI modeling to decipher brain tumor invasion”. 2022-2024. WASP PI (DDLS PI Sven Nelander).
• WASP-DDLS postdoc grant. ”Data integration via auto-encoders with biological constraints”. 2022-2024. WASP PI (DDLS PI Mika Gustafsson)

Additional grants and awards (recent 10 years)

• Vetenskapsrådet (Swedish Research Council) Project Research Grant, ”Robust and Interpretable Deep Learners for Predictive Modeling.” (2020-2023) PI. (co-PI Johan Jonasson) (3.2MKr)
• Albert Wallin’s research award, The Royal Society of Arts and Sciences in Gothenburg, 2019
• Research Award. University of Gothenburg, Faculty of Science, 2017.
• Wallenberg Foundation Math-AI PhD grant. ”Learning with Noisy Labels”. 2018-2022. co-PI. (PI Johan Jonasson)
• Swedish Foundation for Strategic Research: Systems Biology. ”Focus on glioblastoma: using patient-derived cells to decipher tumor expansion and evaluate new treatments.”. (2017-2021). co-PI (PI Sven Nelander). (12.5% research for Jörnsten)
• Swedish Foundation for Strategic Research: Big Data. ”Integrative precision medicine: local data, global context”. (2017-2021). co-PI (PI Sven Nelander). (1 fully funded PhD student, 25% research for Jörnsten)
• Vetenskapsrådet (Swedish Research Council) Project Research Grant, ”Network modeling for large-scale human cancer studies: data integration, validation, and multiresolution networks.” (2014-2017) PI. (5.06MKr)

Publications

Number of peer-reviewed publications (excluding manuscripts, submissions, and revised submissions): 57: 45 journal papers and 12 peer-reviewed book chapters or peer-reviewed conference papers.

H-index: 26, i10-index: 37

Number of citations: 2722

scholar.google page

Supervision

Current supervision:

• PhD students: Vincent Szolnoky (funded by Centiro Solutions, WASP affiliated).
• Postdocs: Adam Malik (funded by WASP-DDLS), Ziming Wang (funded by Chalmers AI research center and the Swedish Research Council)
• Co-supervision: Madeline Skeppsas (UU)

Past supervision; Sanjiv Dwivedi (postdoc), Felix Held, Oskar Allerbo, Olof Zetterqvist (WASP student, main advisor Johan Jonasson), Ida Larsson (co), Emil Rosén(co), Jonatan Kallus, Patrik Johansson(co), Teresia Kling(co), Jose Sanchez, Alexandra Jauhainen(co)

• 60+ MSc students, academic and industry