Jari Björne profile picture
Jari
Björne
University Lecturer, ​Department of Computing
Docent, ​Department of Computing
PhD
Artificial Intelligence, Bioinformatics, Text Mining

Contact

Vesilinnantie 5
20500
Turku

Areas of expertise

Machine Learning
Big Data
BioNLP

Biography

I am a docent of biomedical data science. I graduated as a doctor of computer science in 2014, and as a master of biotechnology in 2008. After my PhD I worked for three years as an Academy of Finland post-doctoral researcher.

Teaching

I have been working in the AI academy project since 2020 and I'm currently a lecturer in this project. Due to my cross-disciplinary background I'm particularly interested in approaches to illustrate and elucidate computer science concepts also for people coming from non-CS backgrounds.

Research

My primary research focus is text mining from scientific literature using machine learning, with the intent to provide novel methods and applications to aid in bioscientific research. In these areas I have contributed the TEES (Turku Event Extraction System) machine learning software which was also the focus of my PhD thesis. Central additional research tasks include the CAFA (automated protein function prediction) task and organizing the EPE (extrinsic parser evaluation) shared task.

Publications

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Towards Automated Screening of Literature on Artificial Intelligence in Nursing (2022)

World congress on medical and health informatics, World congress on medical and health informatics
Moen Hans, Alhuwail Dari, Björne Jari, Block Lori, Celin Sven, Jeon Eunjoo, Kreiner Karl, Mitchell James, Ožegović Gabriela, Ronquillo Charlene Esteban, Sequeira Lydia, Tayaben Jude, Topaz Maxim, Veeranki Sai Pavan Kumar, Peltonen Laura-Maria
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Neural Network and Random Forest Models in Protein Function Prediction (2020)

IEEE/ACM Transactions on Computational Biology and Bioinformatics
Hakala Kai, Kaewphan Suwisa, Björne Jari, Mehryary Farrokh, Moen Hans, Tolvanen Martti, Salakoski Tapio, Ginter Filip
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019)

Genome Biology
Naihui Zhou, Yuxiang Jiang, Timothy R. Bergquist, Alexandra J. Lee, Balint Z. Kacsoh, Alex W. Crocker, Kimberley A. Lewis, George Georghiou, Huy N. Nguyen, Md Nafiz Hamid, Larry Davis, Tunca Dogan, Volkan Atalay, Ahmet S. Rifaioglu, Alperen Dalkıran, Rengul Cetin Atalay, Chengxin Zhang, Rebecca L. Hurto, Peter L. Freddolino, Yang Zhang, Prajwal Bhat, Fran Supek, José M. Fernández, Branislava Gemovic, Vladimir R. Perovic, Radoslav S. Davidović, Neven Sumonja, Nevena Veljkovic, Ehsaneddin Asgari, Mohammad R.K. Mofrad, Giuseppe Profiti, Castrense Savojardo, Pier Luigi Martelli, Rita Casadio, Florian Boecker, Heiko Schoof, Indika Kahanda, Natalie Thurlby, Alice C. McHardy, Alexandre Renaux, Rabie Saidi, Julian Gough, Alex A. Freitas, Magdalena Antczak, Fabio Fabris, Mark N. Wass, Jie Hou, Jianlin Cheng, Zheng Wang, Alfonso E. Romero, Alberto Paccanaro, Haixuan Yang, Tatyana Goldberg, Chenguang Zhao, Liisa Holm, Petri Törönen, Alan J. Medlar, Elaine Zosa, Itamar Borukhov, Ilya Novikov, Angela Wilkins, Olivier Lichtarge, Po-Han Chi, Wei-Cheng Tseng, Michal Linial, Peter W. Rose, Christophe Dessimoz, Vedrana Vidulin, Saso Dzeroski, Ian Sillitoe, Sayoni Das, Jonathan Gill Lees, David T. Jones, Cen Wan, Domenico Cozzetto, Rui Fa, Mateo Torres, Alex Warwick Vesztrocy, Jose Manuel Rodriguez, Michael L. Tress, Marco Frasca, Marco Notaro, Giuliano Grossi, Alessandro Petrini, Matteo Re, Giorgio Valentini, Marco Mesiti, Daniel B. Roche, Jonas Reeb, David W. Ritchie, Sabeur Aridhi, Seyed Ziaeddin Alborzi, Marie-Dominique Devignes, Da Chen Emily Koo, Richard Bonneau, Vladimir Gligorijević, Meet Barot, Hai Fang, Stefano Toppo, Enrico Lavezzo, Marco Falda, Michele Berselli, Silvio C.E. Tosatto, Marco Carraro, Damiano Piovesan, Hafeez Ur Rehman, Qizhong Mao, Shanshan Zhang, Slobodan Vucetic, Gage S. Black, Dane Jo, Erica Suh, Jonathan B. Dayton, Dallas J. Larsen, Ashton R. Omdahl, Liam J. McGuffin, Danielle A. Brackenridge, Patricia C. Babbitt, Jeffrey M. Yunes, Paolo Fontana, Feng Zhang, Shanfeng Zhu, Ronghui You, Zihan Zhang, Suyang Dai, Shuwei Yao, Weidong Tian, Renzhi Cao, Caleb Chandler, Miguel Amezola, Devon Johnson, Jia-Ming Chang, Wen-Hung Liao, Yi-Wei Liu, Stefano Pascarelli, Yotam Frank, Robert Hoehndorf, Maxat Kulmanov, Imane Boudellioua, Gianfranco Politano, Stefano Di Carlo, Alfredo Benso, Kai Hakala, Filip Ginter, Farrokh Mehryary, Suwisa Kaewphan, Jari Björne, Hans Moen, Martti E.E. Tolvanen, Tapio Salakoski, Daisuke Kihara, Aashish Jain, Tomislav Šmuc, Adrian Altenhoff, Asa Ben-Hur, Burkhard Rost, Steven E. Brenner, Christine A. Orengo, Constance J. Jeffery, Giovanni Bosco, Deborah A. Hogan, Maria J. Martin, Claire O’Donovan, Sean D. Mooney, Casey S. Greene, Predrag Radivojac, Iddo Friedberg
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )