Jori Blomqvist holds a Master’s degree in cell- and molecular biology from University of Jyväskylä (Finland). Jori started his PhD at the Institute of Biotechnology (University of Helsinki, Finland) studying chromatin organization with various microscopy approaches. Now he is a part-time doctoral student at FIMM, studying bioimage analysis with machine learning methods. The other part of his time is spent programming laboratory automation systems.

Parisa is currently a Bioinformatician interested in investigating the interplay of genetic and epigenetic factors in somatic mutagenesis using deep learning techniques. She obtained her BSc in Computer Engineering from Azad University in Tehran, Iran, and her MSc degree in Computer, Communication and Information Sciences from Aalto University, receiving a minor in Machine Learning and Data Mining. Prior to joining the Institute for Molecular Medicine Finland (FIMM), Parisa has worked on single-cell analysis of differentiation trajectories and transition states of tissue-resident stem cells at Helsinki Institute of Life Science (HiLIFE), as well as on predicting the promiscuity state of enzymes using Kernel methods at the Department of Computer Science, Aalto University.

When not geeking out, Parisa spends her time traveling, volunteering for the Finnish Red Cross, baking cakes and playing Lacrosse!

Prima Sanjaya is currenty a doctoral student in the fields of artificial intelligence in biomedicine, at the Institute for Molecular Medicine Finland. His research is centered around the development of explainable deep learning techniques in multimodal genomics and medical image data for clinical use.
He received his MSc degree from Dongseo University, South Korea in computer science--working in the Machine Learning Research Lab. Then, he worked in Department of Radiology, Seoul National University Hospital as a medical imaging researcher.

He loves to share ideas, thoughts and innovations. His passion in basic science and computer technology brought him to interdisciplinary work.

Ara Taalas is a PhD student in the field of biomedical machine learning at the Institute for Molecular Medicine Finland (FIMM), with a MSc in Bioinformation Technology from Aalto University. He is currently splitting his time between Terveystalo and FIMM in order to pursue research on predictive diagnostics from complex longitudinal data in the clinical domain. He holds previous experience in the modelling of stem cell differentiation processes and novel drug candidate discovery, and enjoys playing excessively complex board games.

LinkedIn profile

Veera Timonen received her BSc degree in Biology/Genetics from Oulu University in 2017 and her MSc degree in Bioinformatics from Tampere University in 2019, working in the field of bioimage informatics. She has worked with e.g. breast and lung cancer. Currently she is a doctoral student at the Institute for Molecular Medicine Finland (FIMM) working on applying machine learning methods to biomedical data, with an emphasis on deep learning and multimodality of data.

Karen is a visiting PhD student from University of Chile studying clinical and mutational data in cancer patients with machine learning techniques.