جستجوی استاد راهنمای دانشگاهی

Harri Lähdesmäki is an Associate Professor (tenured) at the Department of Computer Science, Aalto University, where he leads the Computational Systems Biology research group. His work focuses on probabilistic machine learning and deep generative models with applications in biomedicine and molecular biology. Key Research Interests: Probabilistic machine learning, deep generative models, computational biology, bioinformatics, longitudinal data modeling Contact: harri.lahdesmaki@aalto.fi | Konemiehentie 2, 02150 Espoo, Finland His recent publications highlight advancements in: Gaussian process priors for scalable deep generative models Single-cell analysis of immune repertoires in leukemia and diabetes Probabilistic deconvolution methods for RNA-seq data Epigenetic analysis using hidden Markov and mixed models Transformer-based survival prediction and missing data handling Harri’s work integrates mechanistic modeling with Bayesian inference, particularly applied to immunology, cancer biology, and early disease prediction.

• Probabilistic Machine Learning
• Deep Generative Models
• Artificial Intelligence
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Ari Ristimäki is a Professor in the Department of Pathology at the Clinicum, University of Helsinki, specializing in gastrointestinal tumorigenesis. He serves as a Supervisor in the Doctoral Programme in Biomedicine and maintains strong connections with HUS Radiology and Pathology. His research spans fundamental cancer biology to clinical applications, particularly in colorectal cancer and related gastrointestinal malignancies. Professor Ristimäki's research interests focus on gastrointestinal tumorigenesis, with particular emphasis on colorectal cancer mechanisms, molecular pathways, and clinical applications. His work bridges basic science and clinical practice, investigating the molecular underpinnings of gastrointestinal cancers while developing diagnostic and therapeutic approaches. His research portfolio includes studies on tumor biomarkers, cancer metabolism, epigenetic modifications, and translational applications for improved cancer diagnosis and treatment. His recent publications demonstrate a strong focus on colorectal cancer research, with particular attention to molecular characterization of BRAF-mutated tumors, liquid biopsy technologies for mutation profiling, and population-based studies of surgical outcomes in gastrointestinal cancer patients. His work shows consistent productivity with 311 publications to date, reflecting sustained research activity since the early 2000s. Professor Ristimäki has supervised doctoral theses, serving as both supervisor and opponent for PhD candidates. His academic service includes manuscript reviewing, committee memberships, and editorial work. His current research is supported by multiple active projects from prestigious funding bodies including the Academy of Finland (SA_2024-2028), Sigrid Jusélius Foundation, Cancer Foundation, and Liv och Hälsa Foundation, indicating strong recognition of his research program's significance and potential impact.

• Cancer Research
• Gastrointestinal Tumorigenesis
• Colorectal Cancer
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Antti Poso is a Professor of Drug Design at the University of Eastern Finland (Kuopio), affiliated with the School of Pharmacy under the Faculty of Health Sciences. His research focuses on computer-aided molecular design, particularly targeting anti-cancer drugs and anti-microbials. Key projects include the EDCMET project (2019–2024) and the GeneCellNano Flagship (2020–2028). He leads the Molecular Modeling and Drug Design Research Group, specializing in QSAR analysis, kinase inhibition profiling, and systems-level drug response modeling. Recent work includes studies on SARS-CoV-2 inhibitors, endocrine disruptors, and bacterial pathogenesis. His findings bridge chemical structure with biological outcomes, leveraging computational tools like CCA and molecular dynamics simulations. Collaborations span medicinal chemistry, pharmacology, and systems biology, contributing to both academic and applied drug discovery efforts. Education: Not explicitly stated in texts; assumed to hold advanced degrees in pharmacy or chemistry. Research Themes: Drug design, molecular modeling, QSAR, computational biology, and anti-infective agents. Key Contributions: Over 150+ publications, including influential works on chemoinformatics-driven drug response analysis and structure-based inhibitor design. Publications highlight advancements in kinase inhibitors, anti-microbial strategies, and viral hijacking mechanisms. His work emphasizes translating computational insights into therapeutic solutions for cancer, infectious diseases, and metabolic disorders.

• Drug Design
• Molecular Modeling
• Anti-Cancer Drugs
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Sampsa Hautaniemi is a Professor at the Department of Biochemistry and Developmental Biology within the Faculty of Medicine at the University of Helsinki. He serves as Principal Investigator of the Systems Biology of Drug Resistance in Cancer research group and holds docentship in the Faculty of Medicine. Professor Hautaniemi actively supervises doctoral students across multiple programs including the Doctoral Programme in Biomedicine, Doctoral Programme in Clinical Research, and Doctoral Programme in Integrative Life Science. His research focuses on systems biology approaches to understand drug resistance mechanisms in cancer, particularly ovarian cancer. His work integrates computational biology, genomics, epigenetics, and bioinformatics to develop precision medicine approaches for cancer treatment. His laboratory develops innovative computational methods and experimental models including patient-derived organoids to study tumor evolution, identify therapeutic targets, and predict treatment responses. Analysis of his recent publications reveals a strong emphasis on understanding tumor heterogeneity, clonal evolution during therapy, and the development of computational tools for cancer genomics. His work spans multiple disciplines including cancer biology, computational biology, immunology, and precision medicine, with a particular focus on high-grade serous ovarian cancer as a model system. Scientific Awards: The Anders Jahre Medical Prize to young medical scientists (2014) for outstanding research on systems biology and cancer The Finnish Medical Foundation 50-years jubileum award (2010) Professor Hautaniemi has supervised numerous doctoral students and early-career researchers, contributing significantly to cancer research education. His research is supported by multiple active projects including the DECIDER project (Clinical Decision via Integrating Multiple Data Levels to Overcome Chemotherapy Resistance in High-Grade Serous Ovarian Cancer) funded until 2026, as well as projects from the Academy of Finland, Cancer Foundation, and industry partners like Orion Corporation. His laboratory maintains a patient-derived organoid biobank for high-grade serous ovarian cancer and develops computational tools like Jellyfish for visualizing tumor evolution.

• Systems Biology
• Cancer Research
• Drug Resistance
• +۷ مورد دیگر

Tommi Mäklin is a researcher affiliated with the University of Helsinki, conducting interdisciplinary research at the intersection of bioinformatics, microbiology, and genomic epidemiology. His work focuses on bacterial pathogen analysis, metagenomics, and the application of computational methods to study infectious diseases. Mäklin has contributed to high-impact studies on topics such as colibactin-producing Escherichia coli's link to cancer incidence, hospital-acquired infections during the pandemic, and enhanced metagenomic analysis tools like TRACS and Themisto. Key affiliations include visiting research positions at the University of Oslo (2024) and EMBL European Bioinformatics Institute (2023–2023), where he received the Theory@EMBL Visitor fellowship. His research has been featured in prominent journals like Nature Communications and The Lancet Microbe , with findings highlighted in media such as Yle and HS. Education: Not explicitly stated in provided materials. Research Interests: Genomic epidemiology, bacterial pathogen transmission, metagenomics, antibiotic resistance, and computational methods for microbial analysis. His recent work explores geographical cancer incidence correlations with bacterial exposure, hospital pathogen surveillance, and scalable genomic tools for outbreak analysis. Awards include recognition for methodological advancements in bioinformatics and microbial genomics.

• Bioinformatics
• Genomic Epidemiology
• Metagenomics
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Samuli Ripatti is a Professor of Biometry at the Faculty of Medicine, University of Helsinki, and Director of the Institute for Molecular Medicine Finland (FIMM). He chairs the Research Council Finland’s Centre of Excellence in Complex Disease Genetics and the EU H2020-funded Intervene Consortium. His research focuses on genetic variation in the Finnish population, particularly its effects on cardiometabolic diseases and cancers, with a strong emphasis on polygenic risk scores for disease prevention and early detection. His work spans Genetic risk prediction models Lipidomic and metabolomic profiling Gene-environment interactions Translational genomics Recent research highlights include 1099 plasma metabolite-disease causal analysis Genetic determinants of weight loss interventions Cardiovascular risk stratification tools Leukocyte lipid metabolism pathways He actively supervises doctoral programs in Integrative Life Science, Social Sciences, Clinical Research, and Population Health, and collaborates with the Broad Institute of MIT and Harvard.

• Genetics
• Biometry
• Public Health
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Dr. Eija Kalso is a Research Director at University of Helsinki's Clinicum and holds the title of Associate Professor . She supervises doctoral programs in Biomedicine, Clinical Research, and Drug Research, with a focus on pain management and neurobiology of disease . Key Research Areas : Chronic pain, circadian rhythm disruption in pain states, pharmacogenomics of analgesics, CRPS, and neuropathic pain mechanisms Recent Trends : 2025 publications emphasize circadian transcriptomics , opioid alternatives , and genotype-driven pain therapy Awards : Konrad ReijoWaara Prize (2007, 2007) Finnish Medical Association Best Textbook Award (2010) Academy of Finland Membership (2010) Arkkiatri Risto Pelkonen Award (2012) Active in European pain research networks , she leads projects like "Sleep and Stress in Pain Transitions" (Finnish Medical Association funding) and participates in international GLORIA consortium targeting glial-opioid receptor interfaces. Her 214+ activities include conference organizing and peer review roles.

• Biomedical Sciences
• Pain Research
• Chronic Pain Management
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Jukka Alinikula is an Adjunct Professor at the University of Turku's Institute of Biomedicine, specifically within the Unit of Infection and Immunity. He also serves as a University Lecturer in immunology and drug development, and as the Education Director of the Immudocs program. His research focuses on somatic hypermutation mechanisms in B lymphocytes, exploring how antibody diversity is generated while avoiding oncogenic mutations. Alinikula completed his PhD at the University of Turku (Lassila Lab), followed by a postdoc at Yale University (Schatz Lab). Research Interests: Alinikula’s work investigates the targeting of somatic hypermutation to immunoglobulin genes versus proto-oncogenes. His lab uses modern techniques like reporter assays, CRISPR-based screens, and single-cell transcriptomics to dissect mutation enhancer functions. Key topics include genome stability, lymphoma etiology, and the interplay between antibody diversification and cancer risk. Teaching: He teaches immunology and immunopharmacology across bachelor’s, master’s, medical, and doctoral programs, emphasizing case-based learning and practical laboratory training. Supervised students include PhD candidates in immunology and drug development. Labs/Teams: Leads his own research group at the Institute of Biomedicine, collaborating extensively with international teams (e.g., Yale, Czech Academy of Sciences). Active in the InFLAMES Flagship initiative for immune system research.

• Immunology
• B lymphocytes
• Somatic hypermutation
• +۴ مورد دیگر

Lu Cheng is a Visiting Professor in the Department of Computer Science at the University of Helsinki, affiliated with the Vehtari Aki Professorship. He holds a Doctor of Philosophy in Natural Sciences from the University of Helsinki (2013). His research focuses on computational genomics, bioinformatics, and microbial genetics, with emphasis on DNA sequence analysis, nanopore sequencing technologies, and systems biology. He leads projects on alternative splicing in cancer and the impact of microbiota on human health. Notable contributions include the NanoBaseLib benchmark dataset and methods for RNA modification analysis. His work addresses UN Sustainable Development Goals related to good health and innovations in data science. Education: Doctor of Philosophy in Natural Sciences (2013), University of Helsinki; Doctoral degree in Natural Sciences (2013), University of Helsinki. Research Interests: Genomics, computational biology, microbial ecology, RNA sequencing technologies, and bioinformatics tool development. His projects explore bacterial population dynamics, host-pathogen interactions, and applications of machine learning in genomics. Advising: Supervises doctoral researchers including Guangzhao Cheng and Chengbo Fu. Active in grants such as the Academy of Finland Research Fellowship (2023-2025). Labs/Teams: Leads research groups focused on single-cell genomics and computational methods for biological systems.

• Genomics
• Bioinformatics
• Microbial Genetics
• +۳ مورد دیگر

Ville Paavilainen is a Research Director at the Institute of Biotechnology, University of Helsinki, and supervisor for doctoral programs in Biomedicine and Integrative Life Science. With a postdoctoral background at the University of California, San Francisco (2008–2014), he focuses on Biochemistry , Cell Biology , and Molecular Biology , particularly mechanisms of protein translocation, membrane biology, and structural modeling. His research includes groundbreaking work on Sec61 translocon inhibition for cancer therapy and mitochondrial gene expression noise . Recent publications address lipid scrambling pathways, glioma stem cell targeting, and actin regulation. Active projects span EU-funded drug discovery and NIH collaborations. Key scientific contributions include Elucidating Sec61-client interactions Developing computational models for signal peptide prediction Uncovering mitochondrial-ER communication mechanisms He has supervised PhD theses (e.g., Paul Carlson) and contributed to over 39 research outputs. His work bridges structural biology, computational modeling, and translational pharmacology, with applications in tumor biology and neurodegenerative disease research.

• Biochemistry
• Cell Biology
• Molecular Biology
• +۹ مورد دیگر

Professor Pipsa Saharinen is a faculty member at the University of Helsinki, affiliated with the Department of Biochemistry and Developmental Biology within the Faculty of Medicine . Her research focuses on vascular biology, lymphatic system dynamics, and cancer therapy, particularly investigating mechanisms regulating endothelial cell behavior and vascular integrity. She holds grants from the Sigrid Jusélius Foundation, Cancer Foundation (Syöpäsäätiö), and the Academy of Finland, supporting projects like Biological Barrier Mechanics and Disease and Translational Cancer Medicine Program . Her work includes collaborations in the Helsinki In Vivo Animal Imaging Platform , enhancing translational research capabilities. Her scientific contributions span over 75 publications, emphasizing vascular mechanotransduction, lymphangiogenesis, and targeted therapies for metastatic cancers. Key findings include cytoskeletal regulation in lymphatic endothelium resilience and the protective role of Pim3 kinase in vascular barriers. Awards: Pfizer Scholar in Cancer Research (2001), Best Biomedical Thesis (2004) Supervised: Postdoctoral researchers (e.g., Anne Pink, Elina Kiss) and doctoral candidates in biomedical and integrative life sciences. Current research explores molecular mechanisms underlying vascular barrier function and metastasis, with clinical implications for cancer treatment and lymphatic disorders.

• Biomedicine
• Cell and Molecular Biology
• Vascular Biology
• +۳ مورد دیگر

Liisa Holm is a Professor at the Institute of Biotechnology, University of Helsinki, and a supervisor in the Doctoral Programme in Integrative Life Science. Her research focuses on computational genomics, structural bioinformatics, and protein function prediction. Research Interests : Computational biology, protein structure analysis, machine learning applications in genomics Key Projects : HiLIFE Grand Challenge (antimicrobial resistance), burn wound infection metagenomics, protein structural aging studies Recent Trends : Holm's work spans protein structure comparison (DALI algorithm), pan-genome analysis of protein crops (faba bean), and aging-related structural changes in proteins. She also contributes to AI-driven advancements in structural biology. Scientific Awards : 2024 Nobel Prize in Chemistry (for AI-driven protein research) Leadership Roles : Project leader for Academy of Finland grants, member of international scientific committees

• Bioinformatics
• Computational Genomics
• Protein Structure Analysis
• +۳ مورد دیگر

Juli Mansnérus is a Postdoctoral Researcher at the University of Helsinki's Faculty of Law, specializing in Medical and Biolaw. She serves as a Supervisor for the Doctoral Programme in Law and teaches across multiple legal disciplines including Medical and Biolaw, Intellectual Property Law, Consumer Law, and European Law. Her work bridges legal frameworks with emerging biomedical technologies and healthcare innovations. Dr. Mansnérus' research focuses on the intersection of law, medicine, and ethics, particularly examining regulatory challenges in genomic data, advanced therapies, and pharmaceutical products. Her work spans bioethics, intellectual property in life sciences, and European health data governance. She has made significant contributions to understanding off-label drug use, patient autonomy in innovative therapies, and the legal implications of AI in healthcare. Her publication record demonstrates consistent scholarly output with 30 research items spanning from 2012 to 2025, showing increasing focus on medical law and bioethics. Recent work reveals a growing emphasis on European regulatory frameworks, particularly regarding genomic data, advanced therapy medicinal products, and the balance between innovation and patient protection. Juridiska föreningen i Finlands litteraturpris (2016) Oikeusvaikuttajatunnustus/ Legal Influencer Award (2019) Dr. Mansnérus actively contributes to the academic community through multiple advisory roles and organizational memberships. She serves on the Upphovsrättsrådet (Copyright Council) from 2020-2024, previously served on the IPR University Center board (2020-2022) and Nuorten Tiedeakatemia (2019-2023), and was an expert for the Finnish Bar Association (2018-2020). She currently participates in the DECIDER research project (2021-2026) focused on overcoming chemotherapy resistance in ovarian cancer through data integration. Her work extends to public engagement through media appearances and invited talks, including discussions on the impact of EU regulations on advanced therapy medical products and legal perspectives on potency assays for stem cell therapies.

• Medical and Biolaw
• Intellectual Property Law
• Bioethics
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Pauliina Ilmonen is an Associate Professor and Vice Dean in the Department of Mathematics and Systems Analysis at Aalto University, within the School of Science. Her research focuses on mathematical statistics, probability theory, and data science, with applications in healthcare and engineering. She holds academic positions in both the Department of Mathematics and Systems Analysis and Statistics and Mathematical Data Science. Her work spans statistical methodology, stochastic processes, and interdisciplinary collaborations in biomedicine. Notable research areas include extreme value analysis, functional data analysis, and the modeling of dependent data. She has contributed to studies on HIV transmission dynamics, prostate cancer genomics, and the statistical analysis of infectious diseases. Dr. Ilmonen’s recent publications (2020–2025) emphasize methodological advancements in statistical inference, computational statistics, and applications in healthcare. She leads projects on predictive modeling, cost-effectiveness analysis in cancer screening, and network traffic prediction. Her findings bridge theoretical statistics with practical challenges in medicine and technology. She advises 8 theses and collaborates on grants exploring mathematical data science, biostatistics, and stochastic systems. Active in academic service, she contributes to curriculum development and promotes ethical use of statistics in research.

• Mathematical Statistics
• Probability Theory
• Data Science
• +۳ مورد دیگر

Lea Sistonen, PhD, is a Professor of Cell and Molecular Biology at the Faculty of Natural Sciences and Engineering , Biochemistry and Cell Biology department of Åbo Akademi University . With over 154 publications spanning four decades, her research focuses on heat shock factors (HSF1/HSF2) as central regulators of cellular stress response , transcriptional regulation , and proteostasis networks . She leads the CellMech Center of Excellence in Cellular Mechanostasis (2019-2024), a multidisciplinary project investigating mechanical stress responses. Active in transcriptional regulation and stress biology research Principal investigator in CellMech project with collaborators across Finland Key expertise in heat shock factors , sumoylation , and cell adhesion mechanisms Her work reveals novel connections between mechanotransduction and nuclear gene expression , particularly through nuclear talin-1 functions. Recent studies (2024-2025) explore HSF2's role in viral gene expression and cancer progression . Publications in FEBS Journal , iScience , and Cell Stress and Chaperones demonstrate her impact across molecular chaperones, transcriptional memory, and stress-induced cellular adaptations.

• Heat Shock Factors
• Cellular Stress Response
• Transcriptional Regulation
• +۴ مورد دیگر