Tero Aittokallio profile picture
Tero
Aittokallio
Mathematics
Adjunct Professor, Faculty of Science
PhD

Contact

+358 29 450 4321
+358 50 350 9623
Vesilinnantie 5
20500
Turku

Biography

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.

Teaching

Computational statistics.

Scientific computing.

Research

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.

Publications

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Crowdsourced mapping of unexplored target space of kinase inhibitors (2021)

Nature Communications
Cichonska A, Ravikumar B, Allaway RJ, Wan FP, Park S, Isayev O, Li SY, Mason M, Lamb A, Tanoli Z, Jeon M, Kim S, Popova M, Capuzzi S, Zeng JY, Dang K, Koytiger G, Kang J, Wells CI, Willson TM, Oprea TI, Schlessinger A, Drewry DH, Stolovitzky G, Wennerberg K, Guinney J, Aittokallio T
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer (2020)

Nature Genetics
Alex H. Wagner, Brian Walsh, Georgia Mayfield, David Tamborero, Dmitriy Sonkin, Kilannin Krysiak, Jordi Deu-Pons, Ryan P. Duren, Jianjiong Gao, Julie McMurry, Sara Patterson, Catherine del Vecchio Fitz, Beth A. Pitel, Ozman U. Sezerman, Kyle Ellrott, Jeremy L. Warner, Damian T. Rieke, Tero Aittokallio, Ethan Cerami, Deborah I. Ritter, Lynn M. Schriml, Robert R. Freimuth, Melissa Haendel, Gordana Raca, Subha Madhavan, Michael Baudis, Jacques S. Beckmann, Rodrigo Dienstmann, Debyani Chakravarty,Xuan Shirley Li, Susan Mockus, Olivier Elemento, Nikolaus Schultz, Nuria Lopez-Bigas, Mark Lawler, Jeremy Goecks, Malachi Griffith, Obi L. Griffith, Adam A. Margolin
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))