Tapahtumakalenteri
Kliinisen kemian semnaarit
Timo Suonsyrjä
iCAN science seminar with Dr. Xiao Fu
Host: Assistant Professor Heidi Haikala
If you
wish to meet with Dr. Fu during his visit or are interested in joining a
student lunch, please contact Heidi Haikala (heidi.haikala@helsinki.fi)
Xiao Fu is a Research Fellow and Junior Group Leader at the Cancer Research UK Scotland Institute, Glasgow, UK.
Xiao obtained a PhD in Biological Physics at the Indiana University Bloomington, USA in 2017. During his PhD research in Dr. James Glazier’s group, Xiao investigated the progression of diabetic retinopathy and liver toxicity through agent-based models and computer simulations.
After completing his PhD, Xiao moved to the UK and worked at the Francis Crick Institute, in Dr. Paul Bates’s group and, subsequently, in Dr. Erik Sahai’s group. During his postdoctoral research from 2017 to 2023, Xiao focused on investigating patterns and principles of tumour evolution in the contexts of kidney and lung cancers through computational modelling, in close collaboration with clinician scientists and cancer cell biologists. His more recent work employed spatial data analysis and machine learning to understand the role of stroma in prostate cancer recurrence.
In August 2023, Xiao started his research group as a Research Fellow and Junior Group Leader at the CRUK Scotland Institute (formerly known as the CRUK Beatson Institute; group webpage https://www.crukscotlandinstitute.ac.uk/cruk-si-research/cruk-si-research-groups/xiao-fu.html). His group is interested in developing diverse computational methods to investigate the organisational principles of the tumour microenvironment (TME) and mechanistic underpinnings of therapy resistance.
Studia Medicina: Miten nuoret voivat
Puheenjohtajana toimii professori emerita Eija Kalso HY/HUS
Seminar on Circadian Rhythms and Obesity: A Timely Approach to Health
You are warmly welcome to join our spring seminar in Helsinki and online 3.4.2025!
Guest speaker, Dr. Veit Stefan Schwämmle
Dr. Schwämmle is an Associate Professor of Computational Proteomics and Bioinformatics at the University of Southern Denmark, leading the Computational Proteomics Group. His research focuses on developing computational methods to improve large-scale omics data analysis, particularly in proteomics and post-translational modifications (PTMs).
His work includes:
✅ Developing
software and workflows for mass spectrometry data analysis
✅ Investigating
biological processes through PTMs
✅ Creating
statistical tools for interpreting omics data
✅ Implementing
deep learning models for mass spectrometry data
✅ Modeling and
interpreting molecular signaling pathways
For more details on his research, visit his lab homepage (https://computproteomics.bmb.sdu.dk/) and Google Scholar profile (https://scholar.google.de/citations?user=jhFZrWcAAAAJ&hl=en).
Come early for a cup of coffee and pulla!