Tero Aittokallio profile picture
Tero
Aittokallio
InFLAMES Flagship
Docent, 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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High intratumoral dihydrotestosterone is associated with antiandrogen resistance in VCaP prostate cancer xenografts in castrated mice (2022)

iScience
Huhtaniemi Riikka, Sipilä Petra, Junnila Arttu, Oksala Riikka, Knuuttila Matias, Mehmood Arfa, Aho Eija, Laajala Teemu D., Aittokallio Tero, Laiho Asta, Elo Laura, Ohlsson Claes, Thulin Malin H., Kallio Pekka, Mäkelä Sari, Mustonen Mika V.J., Poutanen Matti
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia (2021)

npj Precision Oncology
White Brian S., Khan Suleiman A., Mason Mike J., Ammad-ud-din Muhammad, Potdar Swapnil, Malani Disha, Kuusanmäki Heikki, Druker Brian J., Heckman Caroline, Kallioniemi Olli, Kurtz Stephen E., Porkka Kimmo, Tognon Cristina E., Tyner Jeffrey W., Aittokallio Tero, Wennerberg Krister, Guinney Justin
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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

Nature Communications
Cichońska Anna, Ravikumar Balaguru, Allaway Robert J., Wan Fangping, Park Sungjoon, Isayev Olexandr, Li Shuya, Mason Michael, Lamb Andrew, Tanoli Ziaurrehman, Jeon Minji, Kim Sunkyu, Popova Mariya, Capuzzi Stephen, Zeng Jianyang, Dang Kristen, Koytiger Gregory, Kang Jaewoo, Wells Carrow I., Willson Timothy M.; The IDG-DREAM Drug-Kinase Binding Prediction Challenge Consortium, Oprea Tudor I., Schlessinger Avner, Drewry David H., Stolovitzky Gustavo, Wennerberg Krister, Guinney Justin, Aittokallio Tero
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))