Dr. Igor V. Pivkin is a Full Professor at the Institute of Computing within the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His academic journey includes degrees from Novosibirsk State University (B.Sc./M.Sc. Mathematics), Brown University (M.Sc. Computer Science and Ph.D. Applied Mathematics), and postdoctoral research at MIT's Department of Materials Science and Engineering. His research focuses on multiscale/multiphysics modeling , numerical methods , and large-scale simulations of biological and physical systems. Key areas include biophysics, cellular/molecular biomechanics, stochastic modeling, and coarse-grained molecular simulations. He leverages high-performance computing (HPC) and particle-based methods to address complex biological phenomena. His work spans diverse applications, from understanding cellular mechanosensitivity and biofilm engineering to modeling cancer cell behavior and red blood cell dynamics in the spleen. His contributions bridge computational science, biotechnology, and biomedical research. He has published extensively in top-tier journals, with recent work advancing automated biofilm analysis, deep learning for microbial classification, and systems biology approaches to metal bioleaching. His lab collaborates on interdisciplinary projects, emphasizing computational innovation for real-world biological challenges.
Nathan (Nati) Linial is a Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, where he has been a faculty member since completing his postdoctoral period at UCLA. He earned his undergraduate degree in mathematics from the Technion and his PhD in graph theory from the Hebrew University. His research spans multiple areas of theoretical computer science and mathematics, with primary focus on combinatorics, theoretical computer science, and bioinformatics. Linial's work has made significant contributions to high-dimensional combinatorics, expander graphs, metric embeddings, and computational molecular biology. His research often bridges geometry, analysis, and combinatorial structures, demonstrating deep connections between seemingly disparate mathematical fields. Linial's recent publications reveal a strong trend toward high-dimensional combinatorial structures, including simplicial complexes, hypertrees, and high-dimensional permutations. His work frequently employs probabilistic methods, linear programming techniques, and geometric approaches to solve fundamental combinatorial problems. The breadth of his research is evident in both pure mathematical contributions and applications to computational biology. Fellow of the American Mathematical Society ISI Highly Cited Researcher Conant Prize (2008) for the influential survey paper "Expander graphs and their applications" Linial has served on the editorial boards of several prestigious journals including the Israel Journal of Mathematics (as Chief Editor 2013-2017), Random Structures and Algorithms, and Combinatorica. His academic leadership extends to organizing conferences and workshops in combinatorics and theoretical computer science. He has mentored numerous students whose work spans theoretical computer science, combinatorics, and computational biology. Linial is associated with research projects including ProtoNet (for protein sequence classification) and EVEREST (for evolutionary conserved protein domains), demonstrating his commitment to interdisciplinary research that bridges computer science with molecular biology.
Anders Krogh is a Professor at the Department of Computer Science, University of Copenhagen, and also holds a position at the Department of Public Health in the Section for Health Data Science and AI. He serves as the head of the Center for Health Data Science (HeaDS) in the Faculty of Health and Medical Sciences. Previously, he was affiliated with the Department of Biology at the University of Copenhagen until 2020. Dr. Krogh earned his PhD in theoretical physics but transitioned into machine learning and bioinformatics during his doctoral studies. His research spans both theoretical foundations and practical applications in these fields. He is particularly renowned for his pioneering work on hidden Markov models for biological sequences, which has had significant impact in computational biology. In recent years, Krogh's research has focused on deep generative models applied to gene expression data and other biomedical applications. His work bridges computer science with healthcare, developing AI-driven approaches for precision medicine, cancer diagnostics, and analysis of complex biological systems. His current research integrates machine learning with quantum computing applications in biomolecular modeling. Analysis of his recent publications reveals a strong trend toward applying artificial intelligence to healthcare challenges, particularly in rare diseases, cancer diagnostics, and personalized medicine. His work increasingly incorporates federated learning approaches to address privacy concerns while enabling collaborative research across institutions. There's also a growing emphasis on quantum computing applications in biomolecular modeling and drug discovery. As head of the Center for Health Data Science, Krogh leads interdisciplinary research efforts that bring together computer scientists, medical researchers, and clinicians. His team develops novel computational frameworks like MOSAIC for multimodal analysis of rare cancers and multiDGD for multi-omics data integration. These tools are designed to translate AI innovations into clinical practice while addressing the unique challenges of medical data.
Philip Poole is a Professor of Plant Microbiology at the University of Oxford's Department of Plant Sciences and Senior Research Fellow at Somerville College. His research focuses on plant-microbe interactions, nitrogen fixation, and rhizosphere microbiology. He has led major international projects including the BBSRC-NSF Synthetic Symbioses program (2014-2019) and the India-UK Nitrogen Fixation Consortium (2016-2019). With 26 grants as PI from the UK's BBSRC, he has secured over £10.5 million in funding. His work includes pioneering bacterial Lux biosensors for metabolite analysis, transcriptomics under sterile conditions, and metatranscriptomics in soil to study microbiome-plant interactions. Current projects model nitrogen fixation biochemistry in legume nodules and investigate rhizobia lifecycle transitions from rhizosphere colonization to symbiotic bacteroid differentiation. He co-directs the Oxford Centre for Plants for the 21st Century and serves on editorial/advisory boards for Microbiology UK, The Journal of Bacteriology, and Pivot Bio. His contributions include elucidating the ammonia-alanine pathway for nitrogen secretion and demonstrating symbiotic auxotrophy dependencies in bacteroids. Key achievements include developing global mutagenesis strategies (INSeq) and advancing understanding of microbial community structures in the rhizosphere. His research integrates molecular, genetic, and systems biology approaches to address global challenges in sustainable agriculture.
Adrian Linacre is a Professor and Chair in Forensic DNA Technology at Flinders University, within the College of Science and Engineering, Department of Biological Sciences. He is a leading figure in forensic science, with a focus on DNA analysis, wildlife forensics, and crime scene investigation. BSc in Biological Sciences (Hons), University of Edinburgh, 1984 DPhil in Molecular Genetics, University of Sussex, 1988 His research centers on getting more from less at crime scenes , particularly through developing highly sensitive DNA typing methods and studying the transfer and persistence of biological materials. He also pioneers the use of non-human DNA in forensic investigations, notably in wildlife forensic science , aiding in species identification and combating illegal wildlife trade. His recent publications reflect a strong trend in trace DNA analysis , body fluid identification , and DNA transfer dynamics , with applications in drug cases, sexual assault investigations, and environmental DNA degradation. His work increasingly integrates molecular techniques with real-world forensic challenges. Notable scientific awards include: Medal of the Order of Australia (OAM), 2020 Inspirational Scientist of the Year, Royal Society of Edinburgh, 2005 Fellow of the Royal Society for the Encouragement of Arts and Commerce (FRSA) Finalist, South Australian Science Excellence and Innovation Awards (2023, 2024) He has successfully supervised several students, including Piyamas Kanokwongnuwut and Alicia Haines, many of whom have won international recognition. He has secured significant research funding and contributed to national and international forensic policy, including a key review for the UK Home Office on low-template DNA. His professional leadership includes presidencies of the ANZFSS and ISFG, and vice presidency of the IAFS. Linacre is actively involved in editorial roles, serving as Associate Editor for Forensic Science International: Genetics and on the boards of Forensic Science, Medicine and Pathology and the Australian Journal of Forensic Science . He is a sought-after expert witness and media commentator in forensic science.
Dr. Fnu Aakash serves as Interim Director of Hematopathology and Assistant Professor in the Department of Pathology at the University of Texas Medical Branch. His research focuses on hematopathology, oncology diagnostics, and clinical significance of neoplastic disorders. With an h-index of 55, Aakash has contributed significantly to cancer classification systems through publications in Modern Pathology and American Journal of Surgical Pathology. His recent work includes developing international consensus guidelines for myelodysplastic neoplasms and characterizing non-neoplastic changes associated with breast implants. Research collaborations span multiple institutions including MD Anderson Cancer Center, with specialization in malignant hematology and lymphoma diagnostics.
Janusz Bujnicki is a Professor and head of the Laboratory of Bioinformatics and Protein Engineering at the International Institute of Molecular and Cell Biology in Warsaw (IIMCB), Poland. He holds concurrent roles in science policy advisory bodies, including the European Commission's Group of Chief Scientific Advisors (2015-2020, then expert) and the Polish Academy of Sciences’ advisory panel (2024-). He is also a founding member of the Association of ERC Grantees (AERG) and serves on the Scientific Advisory Board of Life Science Center at Vilnius University. Academia Europaea Member (2018-) EMBO Member (2018-) Leadership Academy for Poland (2018) His research spans structural biology, RNA modification, computational biology, and molecular evolution. He has pioneered computational methods like ModeRNA, SimRNA, and ClaRNA for RNA structure prediction and analysis, and developed databases like MODOMICS for RNA modification pathways. His work has applications in understanding RNA function and drug design targeting RNA-processing enzymes. The 15 most recent publications focus on RNA structural modeling (e.g., ModeRNA, ClaRNA, SupeRNAlign), RNA-ligand interactions (LigandRNA), and RNA modification biology (MODOMICS database). These works bridge computational methods with experimental validation in RNA enzymology and structure-function relationships. Scientific Awards: ERC Starting Grant (2010), EMBO Member (2018), Crystal Brussels Sprout (2016), Prime Minister’s Award (2014), Knight’s Cross of Polonia Restituta (2014) Grants & Leadership: Founded RNA bioinformatics infrastructure at IIMCB, led EU science policy advisory groups, and organized international research competitions (RNA Puzzles)
Vitaly Kheyfets, PhD, serves as Associate Professor in the Department of Pediatrics-Critical Care Medicine at the University of Colorado Anschutz Medical Campus School of Medicine, where he directs research at the intersection of pediatric critical care and cardiopulmonary pathophysiology with emphasis on pulmonary arterial hypertension (PAH). His primary research focuses on right ventricular adaptation to pulmonary hypertension, utilizing machine learning-driven multi-omics analysis to identify disease biomarkers and molecular networks. He pioneers computational fluid dynamics approaches for hemodynamic modeling in congenital heart conditions like Glenn physiology, while also investigating sleep oscillatory patterns as neurodegenerative biomarkers. His methodology integrates proteomics, spatial transcriptomics, and pressure waveform analysis to dissect vascular remodeling mechanisms. Publication trends reveal a strong emphasis on translating computational models into clinical applications for PAH prognostication, with recent work developing AI-cooperative diagnostic platforms and characterizing microvascular changes in the right ventricle. Cross-disciplinary collaborations span proteomics, imaging, and sleep neuroscience, demonstrating consistent innovation in both pulmonary hypertension and neurodegenerative disease biomarker discovery.
Steven A. Soper is a Foundation Distinguished Professor in the Department of Chemistry and Mechanical Engineering at the University of Kansas. He serves as Director of the NIH-funded Center for BioModular Multi-Scale Systems for Precision Medicine and leads international collaborations with institutions like UNIST in South Korea. His career spans faculty roles at LSU, UNC, and KU, with interdisciplinary research bridging chemistry, biomedical engineering, and materials science. Ph.D. in Bioanalytical Chemistry, University of Kansas (1989) Postdoctoral Fellow, Los Alamos National Laboratory (1991) B.S. in Chemistry and Psychology, University of Nebraska (1980-1982) Research Interests focus on micro-/nanofabricated biochemical analysis systems for clinical diagnostics, particularly circulating tumor cell analysis , cell-free DNA detection , and single-molecule fluorescence applications. His work integrates polymer microfabrication, FRET-based assays, and thermoplastic nanofluidics for cancer, stroke, and infectious disease diagnostics. Scientific Awards include: R&D 100 Award (2010) Shannon Award (NIH) (1994) Distinguished Research Master, LSU (2002) Fellow, AAAS/RSC/SAS (2010) Sutton Family Research Impact Award (2021) Teaching & Collaboration involves mentoring 39 professional-degree recipients, organizing multidisciplinary research teams, and co-teaching courses in Biofluid Mechanics and Nanotechnology . His lab partners with institutions in South Korea and UNC/NCSU, while hosting international students and professionals. Labs & Centers : Leads the Soper Research Group and the Center for BioModular Multi-Scale Systems , which provides access to state-of-the-art nanofabrication tools and collaborative expertise across 12 institutions.
Russell Mittermeier is an Adjunct Professor at the State University of New York at Stony Brook and Chief Conservation Officer at Re:wild. He holds a Ph.D. and M.A. in Biological Anthropology from Harvard University and a B.A. from Dartmouth College (Summa Cum Laude, Phi Beta Kappa). His career spans over 45 years in biodiversity conservation, with fieldwork in 30+ countries, focusing on Amazonia, Atlantic Forest, and Madagascar. Education : Ph.D. and M.A. in Biological Anthropology (Harvard), B.A. (Dartmouth) Mittermeier's research centers on primate and herpetofauna conservation, species discovery (18 new species described), and linking biodiversity to climate change mitigation. He has authored 35 books and over 650 publications, advocating for conservation corridors and partnerships with indigenous communities. His 2015–2019 publications demonstrate interdisciplinary work across primatology, herpetology, and conservation policy, with a focus on tropical ecosystems. Recent studies include taxonomic revisions of titi monkeys, cactus extinction risks, and Amazon turtle hotspots. Scientific Awards : TIME Magazine Hero for the Planet Honorary Doctorate from SUNY Stony Brook Lifetime Honorary IUCN Member Mittermeier collaborates with global institutions like IUCN, Conservation International, and the Margot Marsh Biodiversity Foundation, emphasizing fieldwork, scientific rigor, and community engagement to protect Earth's most vulnerable ecosystems.
Caetano Reis e Sousa is a Professor of Immunology at Imperial College London and Senior Group Leader/Assistant Research Director at the Francis Crick Institute. He leads the Immunobiology Laboratory, focusing on dendritic cell biology, immune responses to pathogens, and cancer immunotherapy. His research explores how dendritic cells detect pathogens and dying cells, triggering adaptive immunity. Key roles include investigating cross-presentation mechanisms, C-type lectin receptors (e.g., DNGR-1), and vaccine development strategies. Education: BSc (Hons) Biology from Imperial College London (1989), DPhil in Immunology from University of Oxford (1992). Postdoctoral training at NIH under Ron Germain. Career milestones include founding the Immunobiology Lab at CRUK London Research Institute (1998–2015) before joining the Crick. Awards & Recognition: Highly Cited Researcher (Thomson Reuters), BD Biosciences Prize (2002), Liliane Bettencourt Award (2008), Louis-Jeantet Prize (2017), Fellowships at Royal Society (2019), Academy of Medical Sciences (2006), and EMBO (2006). Named Officer of the Order of Sant'Iago da Espada (Portugal, 2009). Research Themes: Dendritic cell activation pathways, cross-presentation of tumor antigens, microbiome-cancer immunity links, and immune evasion mechanisms. Collaborations involve institutions like UCL, King's College London, and global health networks. Labs/Teams: Head of Immunobiology Lab at Crick, with expertise in immunology, cell biology, and virology. Facilities include Flow Cytometry, Genomics, and Light Microscopy cores. Active in pandemic response (e.g., SARS-CoV-2 testing initiatives).
Iona Cheng is a Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco (UCSF), where she conducts groundbreaking research in cancer epidemiology. She serves as co-Investigator of the SEER Greater Bay Area Cancer Registry and is Principal Investigator of multiple NIH- and foundation-funded projects examining genetics, lifestyle factors, and neighborhood characteristics in relation to cancer risk. Dr. Cheng has developed an extensive research program focused on racial/ethnic differences in cancer risk and leads population-based cancer surveillance studies that document variations in cancer incidence and mortality patterns across diverse racial and ethnic groups. University of California, Davis, BS, 1990–1994, Physiology Yale University, MPH, 1999–2001, Chronic Disease Epidemiology University of Southern California, PhD, 2001–2005, Epidemiology University of California, San Francisco, Postdoc, 2006–2008, Genetic and Molecular Epidemiology Dr. Cheng's research spans multiple disciplines within cancer epidemiology, with particular emphasis on understanding how environmental exposures, genetic factors, and social determinants interact to influence cancer risk and outcomes across different racial and ethnic populations. Her work frequently examines the impact of air pollution, endocrine-disrupting chemicals, and neighborhood characteristics on cancer development and survival. She has made significant contributions to understanding cancer disparities among Asian American, Native Hawaiian, and Pacific Islander populations, bringing attention to the unique cancer risks and outcomes within these understudied groups. Her research often leverages the Multiethnic Cohort Study, one of the largest prospective studies of cancer incidence and mortality across diverse racial/ethnic populations. Analysis of Dr. Cheng's recent publications reveals a consistent focus on environmental and social determinants of cancer risk across multiple organ sites. Her work demonstrates a sophisticated integration of epidemiological methods with environmental exposure assessment, genetic analysis, and health disparities research. Many of her studies examine the intersection of environmental exposures and racial/ethnic disparities in cancer outcomes, particularly regarding breast cancer, lung cancer, and other malignancies. She has published extensively on the impact of air pollution on cancer risk and survival, as well as the effects of endocrine-disrupting chemicals like bisphenol A, parabens, and phthalates. American Association for Cancer Research Scholar-in-Training Award (2007) National Institutes of Health Loan Repayment Award (2007) National Institutes of Health Loan Repayment Renewal Award (2009) American Association for Cancer Research Faculty Scholar Award (2011) National Institutes of Health Loan Repayment Renewal Award (2011) National Institutes of Health Loan Repayment Renewal Award (2013) American Journal of Epidemiology/Society of Epidemiology Research Top 10 manuscripts (2014) Cancer Prevention Institute of California Mentoring Award (2015) American Society of Human Genetics Top poster As Principal Investigator of multiple NIH-funded projects, Dr. Cheng oversees substantial research grants focused on cancer epidemiology and health disparities. Her work often involves large interdisciplinary collaborations with researchers across multiple institutions, including the Multiethnic Cohort Study which follows over 200,000 participants from diverse racial/ethnic backgrounds. She has demonstrated leadership in mentoring junior researchers, particularly those from underrepresented backgrounds in science, as evidenced by her Cancer Prevention Institute of California Mentoring Award. Her research program integrates data from cancer registries, electronic health records, and geospatial information to provide comprehensive insights into cancer patterns and risk factors. Dr. Cheng's research is closely connected to the UCSF Helen Diller Family Comprehensive Cancer Center and leverages collaborations with Lawrence Berkeley National Laboratory, which provides advanced technological resources for cancer research. Her work benefits from access to extensive cohort data, sophisticated exposure assessment methods, and interdisciplinary expertise in genetics, environmental science, and computational biology available through these institutional partnerships. She frequently collaborates with researchers studying the genetic and environmental determinants of cancer across multiple organ systems, contributing to a more comprehensive understanding of cancer etiology and prevention strategies.
Dr. Lyn Cook is an Associate Professor specializing in evolutionary biology and systematics at the University of Queensland. Her research examines plant-insect interactions, biogeographic patterns, and taxonomic relationships using molecular phylogenetics. Research focuses on: Australian flora and insect coevolution Historical biogeography of Southern Hemisphere taxa Taxonomic revisions using genomic data Cryptic species discovery Conservation prioritization Recent work addresses taxonomic controversies in Eucalyptus classification and resolves biogeographic origins of Australian arachnids using phylogenetic methods. Fieldwork spans Australian biomes from rainforests to arid zones.
Cathy Wu is a distinguished academic holding the Unidel Edward G. Jefferson Chair in Engineering and Computer Science at the University of Delaware. She serves as Director of the Center for Bioinformatics & Computational Biology (CBCB), Data Science Institute (DSI), and Protein Information Resource (PIR). Her roles include professorships in the Departments of Computer & Information Sciences and Biological Sciences. Education: BS in Plant Pathology (National Taiwan University, 1978), MS and PhD in Plant Pathology (Purdue University, 1982–1984), and a second MS in Computer Science (University of Texas at Tyler, 1989). She completed postdoctoral training in Molecular Biology at Michigan State University (1985–1986). Research interests focus on computational biology, bioinformatics, and data science with emphasis on protein informatics, biological text mining, ontology development, gene-disease-drug networks, and machine learning applications. She leads initiatives in integrating FAIR principles into biological databases like UniProt and InterPro. Her work bridges computational methods with biomedical challenges, including cancer genomics, epigenetic regulation, and proteomic analyses. She has spearheaded educational programs such as the Online Graduate Certificates in Applied Bioinformatics and Biomedical Informatics and Data Science. Her contributions include over 290 peer-reviewed publications (48,000+ citations, h-index 71) and authored/co-authored four books on bioinformatics. She directs multidisciplinary research teams and collaborates internationally on projects like the HALO study on ovarian cancer genetics. Awards and recognition are implied through her leadership roles and academic appointments, though specific prizes are not listed here. Her grants and funding support large-scale initiatives in bioinformatics infrastructure and translational research.
Elin Org is a Professor of Microbiomics at the University of Tartu's Institute of Genomics, where she also serves as Head of the Estonian Genome Centre and Vice Director of the Institute. Her academic career spans over two decades with significant contributions to microbiome and genomic research. Education: PhD in Genetics, University of Tartu (2006) Master's Degree in Molecular Biotechnology and Biomedicine, University of Tartu (2000) Bachelor's Degree, University of Tartu (1997) Classical Singing, Heino Eller Tartu Music School (1996) Professor Org's research primarily focuses on the intricate relationships between host and gut microbiota and their influence on metabolism and common complex diseases. Her work bridges microbiomics, genomics, and complex disease research, with particular emphasis on understanding how gut microbiome composition affects human health. She has pioneered research connecting long-term antibiotic usage with microbiota-dependent effects and has made significant contributions to understanding the role of gut microbiome in conditions such as gestational diabetes, endometriosis, and polycystic ovary syndrome. Her approach integrates advanced computational methods with comprehensive health data to uncover causal relationships in microbiome research. Her recent publications demonstrate a strong trend toward integrating microbiome data with extensive digital health metrics, using machine learning approaches to identify microbial predictors of health outcomes. This work is increasingly focused on translating microbiome research into clinical applications for disease prediction and personalized medicine approaches, particularly in the context of the Estonian Biobank initiative. Major Scientific Recognition: 2025 National Science Award in medical and health sciences 2023 and 2022: Recognized among the world's top 1% most cited researchers by Clarivate Analytics 2020: Member of AcademiaNet, a portal for top female researchers 2017: EMBO Installation grant 2013: Marie Curie International Outgoing Fellowship Professor Org has secured substantial research funding as principal investigator for multiple significant projects, including 'DISCERN - Discovering the causes of three poorly understood cancers in Europe' (€245,466, European Commission) and 'Improving colorectal cancer screening and prediction using microbiome-based biomarkers' (€760,450, Estonian Research Council). She has served as an opponent for numerous PhD theses across European institutions, contributing to the development of emerging researchers in her field. As Head of the Estonian Genome Centre, Professor Org leads a multidisciplinary research team that plays a crucial role in Estonia's transition from biobanking to personalized medicine applications. She is actively involved in international collaborations through COST networks including INFOGUT (focused on in vitro colon models) and ML4Microbiome (statistical and machine learning techniques in human microbiome studies), positioning her at the forefront of global microbiome research initiatives.
