Tero Aittokallio
PhD
teanai@utu.fi Tykistökatu 6 A Turku ORCID identifier: https://orcid.org/orcid.org/0000-0002-0886-9769 |
Tero Aittokallio received his PhD in Applied Mathematics from the University of Turku in 2001, under the supervision of Prof. Mats Gyllenberg. He then did his post-doctoral training in the Systems Biology Lab at the Institut Pasteur (2006-2007), with Dr. Benno Schwikowski, where he focused on network biology applications using high-throughput experimental assays and network analysis tools such as Cytoscape. In 2007, Dr. Aittokallio launched his independent career as a principal investigator in the Turku Biomathematics Research Group, where he received a five-year appointment as an Academy of Finland Research Fellow (2007-2012). Tero Aittokallio joined Institute for Molecular Medicine Finland (FIMM) as EMBL Group Leader in the fall of 2011, and was selected as Professor of Statistics and Applied Mathematics at University of Turku in 2015.
Aittokallio's research group focuses on developing and applying integrated computational-experimental approaches to tackle biomedical questions, such as how genes function as interaction networks to carry out and regulate cellular processes, how alterations in these networks contribute to complex traits, such as human diseases, and where and how in the disease network one should target to optimally inhibit the disease phenotypes, such as tumor growth.
Computational statistics.
Scientific computing.
- Enhanced sensitivity to glucocorticoids in cytarabine-resistant AML (2017)
- Leukemia
(A1 Refereed original research article in a scientific journal) - In Search of System-Wide Productivity Gains - The Role of Global Collaborations in Preclinical Translation (2017)
- Clinical and Translational Science
(B1 Non-refereed article in a scientific journal) - Matched preclinical designs for improved translatability (2017)
- Science Translational Medicine
(B1 Non-refereed article in a scientific journal) - Orphan G protein-coupled receptor GPRC5A modulates integrin β1-mediated epithelial cell adhesion (2017)
- Cell adhesion and migration
(A1 Refereed original research article in a scientific journal) - Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data (2017)
- Lancet Oncology
(A1 Refereed original research article in a scientific journal) - Rapalogs can promote cancer cell stemness in vitro in a Galectin-1 and H-ras-dependent manner (2017)
- Oncotarget
(A1 Refereed original research article in a scientific journal) - Re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40 (2017)
- European Urology
(B1 Non-refereed article in a scientific journal) - Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells (2017)
- Genome Medicine
(A1 Refereed original research article in a scientific journal) - SynergyFinder: a web application for analyzing drug combination dose-response matrix data (2017)
- Bioinformatics
(A1 Refereed original research article in a scientific journal) - Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxel in ovarian granulosa cell tumor cells (2017)
- Gynecologic Oncology
(A1 Refereed original research article in a scientific journal)



