Conferences and symposiums Stockholm biostatistics network event

09-06-2022 4:00 pm - 8:30 pm Add to iCal
Campus Solna Erling Persson lecture hall, Aula Medica, Nobels väg 6
A sunny picture of Aula medica with a little tree house in front surrounded by trees and flowers.
Photo: Lisa Bergenfelz

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.

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