Conferences and symposiums Stockholm biostatistics network event
The Department of Medical Epidemiology and Biostatistics at Karolinska Institutet invites all biomedical researchers/practitioners with a mathematics/statistics/computational-based degree to a network meeting. The goal is for researchers in biostatistics and related disciplines to interact and discuss possibilities for collaboration.
Program
16:00 Seminars (Erling Persson-salen, Aula Medica, Nobels väg 6, KI campus Solna)
18:30 Mingle with food and drinks (Aula Medica, KI campus Solna)
20:30 Close
Schedule
16.00-16.05: Paul Dickman (moderator): Welcome and housekeeping/security
16.05-16.20: Anna Martling: Welcome and introduction
16.20-16.45: Ingeborg Waernbaum: Selection bias and inclusion criteria in observational studies - bias and bounds for causal parameters in the selected sub-population.
16.45-17.10: Nick Tobin: Understanding the cell cycle at a pan-cancer level through the use of large scale ‘omics data sources.
17.10-17.10: Leg stretch
17.15-17.40: Mattias Rantalainen: Overview of the medical AI/ML field and research in deep learning-based precision pathology.
17.40-17.55: To be announced
17.55-18.10: Adina Feldman: DDKI - Promoting data-driven research at Karolinska Institutet
18.10-18.25: Ingeborg Waernbaum: Community - Visibility - Education. The Swedish Society for Medical Statistics, working towards a stronger position for the discipline of Biostatistics.
18.25-18:30: Closing remarks (Paul Dickman)
18.30-20:30: Mingle with food and drinks
The program includes three "research presentations" (one each in biostatistics, bioinformatics, and AI/ML) along with presentations describing developments in organisation and infrastructure in these fields.
Target audience
Biomedical researchers/practitioners with a mathematics/statistics/computational-based degree (e.g., mathematics, statistics, bioinformatics, engineering, physics, computer science). The organisers are especially interested in meeting researchers from outside KI. We welcome colleagues from all branches (academia/industry/government) and geographic locations.
Registration: https://forms.gle/SfxTMBy9d5VZ3kgF9
Cost: No charge to participants
Please register before June 2.
The event is co-hosted by the Department of Medical Epidemiology and Biostatistics and the Clinicum analytic network.