Prof. (pro term) Harri Lähdesmäki, D.Sc. (Tech) Aalto University School of Science Department of Information and Computer Science Affiliated group leader at University of Turku Turku Center for Biotechnology Finland
Main Research Publications Software Teaching Contact Computational systems biology and regulatory genomics We use computational techniques to model and understand molecular regulatory mechanisms and their role in health and disease. We focus on developing statistical modeling and machine learning methods to understand transcriptional, post‐transcriptional and epigenetic regulatory mechanisms, protein signaling pathways, and effects of mutations on regulatory mechanisms. We also develop methods for biological sequence analysis, combining heterogeneous biological information sources and analyzing high-throughput measurement data, such as deep-sequencing and microarray measurements. Research projects are carried out in close collaboration with experimental groups, and we collaborate on molecular immunology, stem cell, cancer and type 1 diabetes systems biology research projects. Our research group is part of the Finnish Centre of Excellence in Molecular Systems Immunology and Physiology Research (SyMMyS), funded by Academy of Finland. Open positions: Two postdoc positions are open: Statistical data analysis for biomarker discovery and disease prediction Computational biology and regulatory genomics Both positions are initially for two years, but can be exteded. Please see a description of positions, application instructions and other details here, or contact via email. Outstanding and motivated Ph.D. students and part-time M.Sc students, please contact Harri Lähdesmäki via email. Research group: Postdocs Jukka Intosalmi Ph.D. students Timo Erkkilä Kartiek Kanduri (with Prof. Riitta Lahesmaa) Lingjia Kong (primary supervisor Dr. Reija Autio) Antti Larjo Essi Laajala (with Prof. Riitta Lahesmaa) Henrik Mannerström Kari Nousiainen Maria Osmala Tarmo Äijö M.Sc. students Juhani Kähärä Maia Malonzo Sini Rautio Roosa Sahla Juhi Somani Visiting Researchers Research topics: Modeling gene expression regulation by transcription factors, chromatin structure and epigenetic modifications Modeling molecular dynamics; signaling pathways and gene regulatory networks Alternative splicing detection Molecular systems immunology  Statistical modeling for high-throughput data Type 1 diabetes Systems approaches in cancer research Machine learning and computational statistics, with applications to molecular biology Funding: Our research is funded by grants from: Academy of Finland, AoF Center of Excellence, EU FP7, EraSysBio+, Emil Aaltonen Foundation, FICS graduate school and Tekes. Last update May 12, 2012