Valtteri Nieminen

- Doctoral Researcher,
Department of Computing (Faculty of Technology)
- Project Researcher,
Health Technology (Department of Computing)

valtteri.a.nieminen@utu.fi

Office: 452B

ORCID identifier: https://orcid.org/0000-0002-3550-0561

Areas of expertise

Machine Learning; Data Analysis; Life Sciences; Education; Medical Informatics

Research community or research topic

Currently I am working on the data-privacy related PRIVASA project and the HCT 2.0 project.

Biography

Research

My research focus is on data privacy-preserving learning techniques in life sciences, machine learning methods and federated learning techniques. Additionally I work with data harmonization and federation in medicine, such as the OMOP Common data model.

Teaching

Data analytics courses teaching assistant.

Publications

1 of 2

Association Between Obesity and Sex-Related Survival Difference in Lung Cancer (2026)
- JCO Clinical Cancer Informatics
Ryzhenkov, Alexey; Rachidi, Salma; Nieminen, Valtteri; Niemi, Marianna; Albrecht Andersen, Mads; Niklander, Johanna; Paajanen, Juuso; Bhatnagar, Pooja; Bjerrum, Andreas; Kauppi, Paula; Theophanous, Stelios; Deng, Wei Hai; Van Schoor, Zarah; Verbiest, Annelies; Helland, Åslaug; Sanoja, Johanna; Janssens, Annelies; Knuuttila, Aija; Ilonen, Ilkka; Fey, Eric; Porkka, Kimmo
(A1 Refereed original research article in a scientific journal)
2318P FALCON: A novel high-quality cancer network for RWE (2025)
- Annals of Oncology
Golozar A.; Verbiest A.T.L.; Ryzhenkov A.; Nieminen V.; Hoffmann K.; Janssens A.; López Gómez C.; Kauko T.; Methot J.; Minne J.; Moesgaard Eschen A.; Morgan Stewart H.; Stone T.; Tajanen-Doumbouya P.; Theophanous S.; Van Schoor Z.; Enerly E.; Porkka K.; Reich C.; Fey E.
(Other publication)
FinOMOP Swarm Learning – Distributed Deep Learning for Patient-Specific
Predictive Modelling of Acute Myeloid Leukemia (2025) Eric Fey, Valtteri Nieminen, Salma Rachidi, Hartmut Schultze, Vytis Vadoklis, Perre Gustafsson, Johansson Markus, Kauko Tommi, Anna Hammais, Kukkurainen Sampo, Niemelä Sami, Tuomas Hakala, Alexey Ryzhenkov, Tomi Mäkelä, Oscar Brück, Joachim Schultze, Tarja Laitinen, Arho Virkki, Kimmo Porkka
(Other publication)
Large-Scale Network Study on the Impact of Immune Checkpoint Therapy in Metastatic Non-Small Cell Lung Cancer: The iCAN mNSCLC Study-a-Thon (2025) Valtteri Nieminen; Annelies Verbiest; Alexey Ryzhenkov; Stelios Theophanous; Geoff Hall; Thejas Bharadwaj; Jasmin Carus; Vagelis Chandakas; Eleanor Cheese; Wei Hai Deng; Dmytro Dymshyts; Espen Enerly; Otto Ettala; Michael Franz; Katja Hoffmann; Mikael Högerman; Annelies Janssens; Tommi Kauko; Martin Koch; Sampo Kukkurainen; Harri Rantala; Carlos López Gómez; Álvaro Martínez Pérez; John Methot; Agnes Moesgaard Eschen; Henry Morgan; María Eugenia Gas López; Parisa Movahedi; Tomi Mäkelä; Ghazaleh Niknam; Laura Perez; Christian Reich; Tom Stone; Ping Sun; Pia Tajanen-Doumbouya; Zarah Van Schoor; Åsa Öjlert; Ilkka Ilonen; Paula Kauppi; Elad Sharon; Daniel Smith; Georgina Kennedy; Åslaug Helland; Eric Fey; Asieh Golozar; Aija Knuuttila; Kimmo Porkka
(Other publication)
P1.17.67 A Large-Scale Network Study on Impact of Immune Checkpoint Therapy in Metastatic Non-Small Cell Lung Cancer: The iCan mNSCLC Study-A-Thon (2025)
- Journal of Thoracic Oncology
Ilonen I.; Verbiest A.; Theophanous S.; Ryzhenkov A.; Nieminen V.; Bharadwaj T.; Carus J.; Chandakas V.; Cheese E.; Deng W.H.; Dymshyts D.; Enerly E.; Ettala O.; Franz M.; Hoffmann K.; Högerman M.; Janssens A.; Kauko T.; Koch M.; Kukkurainen S.; López Gómez C.; Martìnez Pèrez À.; Methot J.; Moesgaard Eschen A.; Morgan Stewart H.; Gas López M.E.; Movahedi P.; Mäkelä T.; Ghazaleh N.; Nute A.; Perez L.; Reich C.; Stone T.; Sun P.; Tajanen-Doumbouya P.; Van Schoor Z.; Öjlert Å.; Kauppi P.; Sharon E.; Smith D.; Kennedy G.; Helland Å.; Fey E.; Golozar A.; Knuuttila A.; Porkka K.; Rantala H.
(Other publication)
Response to Letter by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)
- Methods of Information in Medicine
Montoya Perez, Ileana; Movahedi, Parisa; Nieminen, Valtteri; Airola, Antti; Pahikkala, Tapio
(B1 Non-refereed article in a scientific journal)
Adopting the OMOP Oncology CDM at the Helsinki University Hospital (2024) Valtteri Nieminen, Alexey Ryzhenkov, Johanna Sanoja, Salma Rachidi, Juho Lähteenmaa, Joonas Laitinen, Samu
Eränen, Johanna Niklander, Anna Kuosmanen, Oscar Brück, Pasi Rikala, Anna Virtanen, Marianna Niemi, Tomi
Mäkelä, Eric Fey, Kimmo Porkka
(Poster)
Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2024)
- IEEE Access
Movahedi, Parisa; Nieminen, Valtteri; Perez, Ileana Montoya; Daafane, Hiba; Sukhwal, Dishant; Pahikkala, Tapio; Airola, Antti
(A1 Refereed original research article in a scientific journal)
Deep Learning Models for Predicting Overall Survival of Acute Myeloid Leukemia Using Short-Term Longitudinal Blood Measurements and the Omop Common Data Model (2024)
- Blood
Rachidi, Salma; Ryzhenkov, Alexey; Nieminen, Valtteri; Mäkelä, Tomi P.; Brück, Oscar; Porkka, Kimmo; Fey, Eric
(Abstract)
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? (2024)
- Methods of Information in Medicine
Montoya Perez, Ileana; Movahedi, Parisa; Nieminen, Valtteri; Airola, Antti; Pahikkala, Tapio
(A1 Refereed original research article in a scientific journal)