Tero Aittokallio
PhD
teanai@utu.fi Tykistökatu 6 A Turku ORCID-tunniste: 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.
- (2013)
- Clinical Cancer ResearchLecture Notes in Computer Science
(O2 Muu julkaisu ) - Functional drug sensitivity and resistance profiling of AML patient cells defines a disease-specific combination of druggable signal addictions (2013)
- Cancer Research
(O2 Muu julkaisu ) - Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives (2013)
- BioData MiningPLoS Computational Biology
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Identification Of AML Subtype-Selective Drugs By Functional Ex Vivo Drug Sensitivity and Resistance Testing and Genomic Profiling (2013)
- Blood
(O2 Muu julkaisu ) - Identifying prognostically relevant subsets of endometrial cancer using unsupervised clustering of immunohistochemical staining data (2013)
- Virchows Archiv
(O2 Muu julkaisu ) - Parallel Feature Selection for Regularized Least-Squares (2013)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Predicting drug-target interactions through integrative analysis of chemogenetic assays in yeast (2013)
- Molecular BioSystems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Stromal Cell Supported High-Throughput Drug Testing Of Primary Leukemia Cells For Comprehensive Assessment Of Sensitivity To Novel Therapies (2013)
- Blood
(O2 Muu julkaisu ) - Target Inhibition Networks: Predicting Selective Combinations of Druggable Targets to Block Cancer Survival Pathways (2013)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A multilevel layout algorithm for visualizing physical and genetic interaction networks, with emphasis on their modular organization (2012)
- BioData Mining
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



