Antti Airola profile picture
Antti
Airola
Associate Professor, Health Technology
Assistant Professor, Health Technology
D.Sc. (Tech.)

Contact

+358 29 450 4193
+358 50 517 8711
Vesilinnantie 5
20500
Turku

Links

Google scholar profile
ResearchGate profile
Publons profile
CV_Antti_Airola_Jan2022.pdf
ORCID

Areas of expertise

artificial intelligence
data analytics
machine learning
health technology

Biography

Antti Airola, is an Associate Professor (tenure track) of data science in the area of Health Technology at the University of Turku. He has co-authored over 80 peer-reviewed articles, won multiple international data science competitions, and received several research excellence awards such as the the HATUTUS award for the best PhD thesis in the area of pattern recognition in Finland (2010 - 2011) and IEEE Computational Intelligence Society Outstanding Transactions on Fuzzy Systems Paper award (2015). He is currently working as responsible leader in several EU and Research Council of Finland funded research projects.

Teaching

Airola is currently responsible for teaching the course TKO_3103 Data Analysis and Knowledge Discovery, as well as thesis supervision work (BSc, MSc, PhD). He has developed materials for and taught in many courses in the area of data and computer science, is responsible for developing the curriculum for both national BSc and MSc Medical and health technology programmes, as well as the international MSc programme in Health technology, and directs the AI Academy that coordinates AI related teaching between the faculties.

Research

Airola's main research areas are in the area of machine learning and data science, especially their applications in the health domain.

Publications

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A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines (2017)

Cell Systems
Gönen M, Weir Ba, Cowley GS, Vazquez F, Guan Y, Jaiswal A, Karasuyama M, Uzunangelov V, Wang T, Tsherniak A, Howell S, Marbach D, Hoff B, Norman TC, Airola A, Bivol A, Bunte K, Carlin D, Chopra S, Deran A, Ellrott K, Gopalacharyulu P, Graim K, Kaski S, Khan SA, Newton Y, Ng S, Pahikkala T, Paull E, Sokolov A, Tang H, Tang J, Wennerberg K, Xie Y, Zhan X, Zhu F, Aittokallio T, Mamitsuka H, Stuart JM, Boehm JS, Root DE, Xiao G, Stolovitzky G, Hahn WC, Margolin AA
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

O-CDIO: Emphasizing Design Thinking in CDIO Engineering Cycle (2016)

International Journal of Engineering Education
Ville Taajamaa, Mona Eskandari, Barbara Karanian, Antti Airola, Tapio Pahikkala, Tapio Salakoski
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

RLScore: Regularized Least-Squares Learners (2016)

Journal of Machine Learning Research
Tapio Pahikkala, Antti Airola
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Modelling User Retention in Mobile Games (2016)

IEEE Conference on Computational Intelligence and Games
Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Toward more realistic drug-target interaction predictions (2015)

Briefings in Bioinformatics
Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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