Joel Rämö is a Postdoctoral Researcher at the University of Helsinki and the Finnish Institute of Molecular Medicine , focusing on the genomics of neurological and neuropsychiatric disorders and complex disease genetics . He is also affiliated as a visiting researcher in the field of Biomedical Sciences. ORCID : 0000-0002-6429-5149 Email : joel.ramo@helsinki.fi His research spans Biomedical Sciences , with a focus on cardiovascular risk stratification, neurogenetics, and AI-driven diagnostics. Recent work includes developing digital biomarkers for hypertension, analyzing gene variants in arrhythmias, and applying machine learning to ECG and accelerometer data. Publications over the past decade (total 52) highlight collaborations with institutions like Harvard Medical School and MIT, with recent emphasis on cardiology and genomic medicine . He has contributed to studies in Journal of the American College of Cardiology , npj Digital Medicine , and JAMA Cardiology . In 2014, he presented at the European Association for the Study of Diabetes Annual Meeting , indicating cross-disciplinary interests in metabolic disorders and cardiovascular health.
Markku Kilpeläinen is a University Lecturer at the Department of Psychology, University of Helsinki, affiliated with the Faculty of Medicine. His work focuses on cognitive psychology, perception, and neuroscience, with particular emphasis on visual system research and human-computer interaction. Dr. Kilpeläinen's research explores: Cognitive abilities and their impact on computer task performance Retinal processing mechanisms in primate and human vision Sound-action and sound-space symbolic associations Comparative studies of human and AI visual recognition capabilities His publications since 2025 demonstrate active engagement in interdisciplinary research spanning psychology, neuroscience, and technology design. Recent work includes studies on parenting interventions in perinatal care and novel methods for XR device legibility testing. In collaborative projects, Dr. Kilpeläinen has contributed to: Human Optimized XR (Multisensory Signals and Meanings) International collaborations with institutions like UC Berkeley Business Finland-funded research initiatives
Niklas Ravaja is a Professor in the Department of Psychology at the University of Helsinki, where he serves as a Supervisor in multiple doctoral programs including Human Behavior, Cognition, Learning, Teaching and Communication, Social Sciences, and Population Health. He is also affiliated with the Helsinki Information Technology Research Institute. His research spans interdisciplinary domains connecting psychology with technology and neuroscience. Professor Ravaja's research focuses on the intersection of psychological processes, physiological responses, and technological interfaces. His work examines how social interactions manifest in physiological arousal, particularly in face-to-face versus mediated communication contexts. He investigates time perception alterations under different emotional and intentional states, exploring how cognitive processes influence temporal experience. His research on virtual reality environments examines emotional responses during intergroup encounters and the impact of haptic feedback on social interaction. Ravaja's work consistently integrates neuroscience methodologies with social psychology questions, creating innovative approaches to understanding human behavior in technologically mediated environments. Analysis of his recent publications reveals a strong trend toward neuroadaptive interfaces and physiological measurement in social contexts. His work increasingly focuses on comparing in-person versus mediated interactions, particularly examining how video communication alters physiological responses during self-disclosure. There's a clear progression from basic research on emotional responses to applied work on health behavior change through biofeedback applications. The integration of virtual reality with physiological measurement represents a significant methodological innovation across his recent work. Professor Ravaja has secured substantial research funding from the Academy of Finland, currently leading three active projects: Meta (focusing on programmable metasurface networks), EngIne (examining engagement in remote social interactions), and PREventive Care Infrastructure. His previous projects have included investigations of mediated haptic communication during social decision making. These projects demonstrate his ability to secure competitive funding for interdisciplinary research bridging psychology, neuroscience, and technology. His academic activities include extensive peer review work (17 instances documented), conference participation and organization (4 instances), editorial work, and academic visits to institutions including University Rennes 1 Graduate School of Management. He has also contributed to media discussions through interviews with Tietoviikko and Hämeen Sanomat, demonstrating his engagement with public discourse around psychological research.
Gantugs Atarsaikhan is a Postdoctoral Researcher at the Finnish Institute of Molecular Medicine (University of Helsinki), focusing on artificial intelligence applied to biomedical imaging and cancer research. His work bridges computer science with clinical applications through advanced deep learning techniques. Research Interests : Cancer microenvironment spatial profiling Self-supervised learning for biomedical images Deep metric learning for time series Neural style transfer in design Computer vision in pathology Recent article trends show expertise in applying computer vision (vision transformers, time warping algorithms) to multiplexed microscopy images and typographic design generation. His publications (2018–2024) emphasize deep learning, image analysis, and biomedical applications. Projects : iCAN-DIP (2021–2026): AI-driven deep image profiling of pan-cancer microenvironment Uncovering patterns in cancer cells (2022–2026): Visual representation learning Academy of Finland grants (2024–2028) for cellular-level cancer profiling Activities : Poster presentations at EMBO/EMBL Symposium (2024) and FCI Symposium (2024) Oral presentation at AI-Driven Imaging Conference (2023)
Mikko Nykyri is a Post-doctoral researcher at the Department of Electrical Engineering within the School of Energy Systems at Lappeenranta-Lahti University of Technology (LUT). His research focuses on energy systems with particular emphasis on smart grids, energy communities, and demand response mechanisms. His work bridges theoretical approaches with practical applications in the energy sector, aligning with LUT's strategic focus on energy transition. Dr. Nykyri's research interests center around the intersection of energy systems and digital technologies. He investigates how machine learning, particularly deep reinforcement learning, can optimize energy efficiency in buildings and industrial processes. His work on energy communities explores economic models, blockchain-based settlement systems, and educational approaches through serious games. He also maintains research interests in power electronics, including inverter technologies and semiconductor device characterization. His research demonstrates strong interdisciplinary connections across electrical engineering, computer science, and energy economics. An analysis of Dr. Nykyri's publication history reveals a clear evolution from fundamental power electronics research toward increasingly complex system-level applications. His early work focused on specific technical challenges in power conversion and semiconductor devices, while his recent publications address holistic energy system challenges including community-scale economics, AI-driven optimization, and educational frameworks. This progression reflects the broader energy transition from component-level improvements to integrated system solutions, with particular emphasis on the role of digitalization in enabling new energy paradigms. Dr. Nykyri has established a robust collaborative network, frequently working with researchers including Tommi J. Kärkkäinen, Saku Levikari, and Pertti Silventoinen. His peer review activity for Applied Energy demonstrates his recognized expertise in the field. His research maintains a practical orientation, with multiple studies involving real-world industrial applications and educational demonstrators that bridge academic research with industry implementation needs.
