جست‌وجوی استاد و پژوهشگر

Jing Tangمشاهده پروفایل

استادیار

• Network Pharmacology
• Drug Combination Discovery
• Systems Biology
• +۵ مورد دیگر

Jing Tang is an Assistant Professor at the Department of Biochemistry and Developmental Biology within the Faculty of Medicine at the University of Helsinki . She also holds a Docentship in Biometry and serves as a Supervisor in Doctoral Programmes for Computer Science, Biomedicine, and Integrative Life Science. Education: PhD in Statistics (University of Helsinki, 2016), Docentship in Biometry (2016) Key Research Areas: Network pharmacology for precision medicine, mathematical modeling of drug synergy, systems-level cancer pathway inhibition, computational drug discovery, and biomedical informatics Article Trends : Recent publications focus on network-driven drug response prediction in acute myeloid leukemia, causal inference for essential gene analysis, graph neural networks in drug-target interaction modeling, and seasonal brain-adipose tissue interactions via μ-opioid receptor imaging. Tools developed include SynergyFinder+ and DrugComb platforms. Awards: Academy of Finland Research Fellow (2018), Helsinki Challenge Award (2017), HiLIFE Research Fellow (2017) Supervision: Leads the Tang Lab team, mentoring PhD researchers in method development and software engineering for cancer drug discovery

Markku Kilpeläinenمشاهده پروفایل

مدرس

• Cognitive Psychology
• Perception
• Human-Computer Interaction
• +۴ مورد دیگر

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

• Computer Science
• Psychology
• Neuroscience
• +۱ مورد دیگر

Michiel Spape is a visiting researcher at Medicum , University of Helsinki, and a supervisor in the Doctoral Programme in Population Health. His research spans Computer Science , Psychology , and Neuroscience , with a focus on human-computer interaction and temporal perception. University: University of Helsinki School: Medicum Role: Visiting Researcher & Supervisor Spape's work investigates how cognitive processes like intention, emotion, and sensory feedback influence time perception and brain-computer interfaces . His recent studies combine EEG , virtual reality , and haptics to decode implicit user responses. Email: michiel.spape@helsinki.fi

Salla-Maaria Laaksonenمشاهده پروفایل

استاد مدعو

• Communication
• Technology
• Social Media
• +۸ مورد دیگر

Salla-Maaria Laaksonen is an Adjunct Professor and Senior Researcher at the University of Helsinki's Faculty of Social Sciences, affiliated with the Department of Social Research and Centre for Consumer Society Research. She holds a Dr.Soc.Sc. (2017) and M.Soc.Sc (2008) from the same institution. Her current positions include Postdoctoral Researcher and Grant Researcher roles at University of Helsinki, along with an affiliation at Vrije Universiteit Amsterdam since 2021. Her research examines digital communication transformations in the platform society, focusing on: Platform-driven changes in public communication flows and business-society relationships Intersections of organizing, data practices, and machine learning methods Critical analysis of datafication's societal impacts Application of computational methods to hybrid media systems She leads projects exploring AI ethics, misinformation governance, organizational communication, and social media analytics. Recent publications (2021-2025) cluster around three themes: Platform governance : Studies on content moderation, corporate responsibility, and AI's societal impact Datafied communication : Research on social media discourse, organizational rhetoric, and computational methods Digital transformations : Analyses of media ecosystems, political communication, and technology adoption She directs research at the Centre for Consumer Society Research , focusing on digital society challenges. Her work has appeared in journals including New Media & Society , Journal of Computer-Mediated Communication , and Information, Communication & Society .