Ossi Räisä

University of Helsinki

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Ossi Räisä (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@helsinki.fi

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

PhD student
University of Helsinki (helsinki.fi)
2021Present
 
MS student
University of Helsinki (helsinki.fi)
20192021
 
Undergrad student
University of Helsinki (helsinki.fi)
20152019
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coworker
Marlon Tobaben
****@helsinki.fi
2021Present
 
Coworker
Elio Nushi
****@helsinki.fi
2021Present
 
PhD Advisor
Aapo Hyvärinen
****@helsinki.fi
2021Present
 
PhD Advisor
Arto Klami
****@cs.helsinki.fi
2021Present
 
Coworker
Mikko Heikkilä
****@helsinki.fi
2019Present
 
Coworker
Razan Tajeddine
****@helsinki.fi
2019Present
 
Coworker
Tejas Kulkarni
****@aalto.fi
2019Present
 
Coworker
Lukas Prediger
****@aalto.fi
2019Present
 
Coworker
Tommi Mäklin
****@helsinki.fi
2019Present
 
PhD Advisor
Antti Honkela
****@helsinki.fi
2019Present
 
Coauthor
Joonas Jälkö
****@helsinki.fi
2019Present
 
Coauthor
Samuel Kaski
****@aalto.fi
2019Present
 
Coworker
Laila Melkas
****@helsinki.fi
20212022
 
Coworker
Ola Salman
****@helsinki.fi
20202022
 
Coauthor
Antti Koskela
****@helsinki.fi
20192021
 
Coworker
Liisa Ilvonen
****@helsinki.fi
20192021
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Bayesian Methods
2022Present
 
Synthetic Data
2022Present
 
Multiple Imputation
2022Present
 
Differential Privacy
2019Present