Volker M. Lauschke is a Professor in Translational Pharmacology at Karolinska Institutet, Stockholm, Sweden, and Director of the Biofabrication and Tissue Engineering Core Facility. He also serves as Deputy Head of the Margarete Fischer-Bosch Institute of Clinical Pharmacology in Stuttgart, Germany, with guest professorships at Changsha Central South University and Lanzhou University. His research integrates 3D cell culture systems, microfluidics, and genomics to develop therapeutic strategies for NASH, infectious diseases, and metabolic disorders. He has authored over 180 peer-reviewed papers and received awards such as the ISSX Karl Netter Award and Clarivate Highly Cited Researcher recognition. He co-founded HepaPredict and PersoMedix for drug discovery and personalized medicine services. Education: PhD (2013), Masters in Molecular Biosciences (2009), and Bachelors in Molecular and Cellular Biology (2007). Research Interests: Focuses on microphysiological systems, pharmacogenomics, and liver regeneration. Current projects include 3D tissue models for diabetes, NASH, and viral infections, plus bioprinting and drug biasing using BRET biosensors. Awards: ISSX Karl Netter Award (2023), Clarivate Highly Cited (2022), AAPS High Impact (2020), and others.
Annika Lindblom is a Senior Professor at Karolinska Institutet, affiliated with the Department of Molecular Medicine and Surgery and the Clinical Genetics research group under Richard Rosenquist Brandell. Her academic career includes roles as a Docent (since 1996) and Professor (since 2020). Education & Roles: She holds a Docent title from Karolinska Institutet and has led numerous research projects focused on cancer genetics and hereditary syndromes. She supervises doctoral students, such as Petri Rantanen, and contributes to clinical and translational research in oncology. Research Interests: Her work centers on genetic predisposition to cancer, particularly colorectal and breast cancers, Lynch syndrome, and the interplay between genetics and lifestyle factors. Key areas include identifying genetic modifiers, risk stratification, and preventive strategies through genomic studies and clinical trials. Publications: Lindblom's research spans over 300 publications, with recent work highlighting genetic associations in Lynch syndrome, colorectal cancer risk factors, and polygenic risk scores. Her studies often involve large-scale collaborations, such as the Prospective Lynch Syndrome Database. Grants & Funding: She has secured funding from the Swedish Research Council, Swedish Cancer Society, and others for projects on cancer prevention, genetic testing strategies, and Lynch syndrome management. Notable grants include studies on mesalamine for colorectal cancer prevention and genetic risk assessment in hereditary cancers. Labs/Teams: She leads the Clinical Genetics research group, focusing on translational research and clinical applications of genetic discoveries. Her work bridges molecular genetics and clinical oncology to improve patient outcomes.
Keriann Marie Backus is an Associate Professor in the Department of Biological Chemistry at the University of California Los Angeles (UCLA) School of Medicine. Her research program focuses on developing and applying chemoproteomic approaches to understand protein function, particularly through cysteine profiling and covalent ligand discovery. Dr. Backus leads an active research laboratory that bridges chemical biology, proteomics, and systems biology to address fundamental questions in protein biochemistry and disease mechanisms. Dr. Backus's research interests center on chemoproteomics, with particular emphasis on cysteine reactivity profiling, protein interactome mapping, and covalent ligand discovery. Her laboratory develops innovative chemical and proteomic methodologies to characterize the cysteinome—the complete set of reactive cysteines in the proteome—and to understand how cysteine modifications impact protein function in health and disease. Her work spans fundamental protein biochemistry, chemical probe development, and translational applications in areas including inflammation, cancer, and infectious disease. The lab employs cutting-edge mass spectrometry, chemical biology, and bioinformatics approaches to map protein modifications, interactions, and functions at systems-level resolution. Her publication record demonstrates significant contributions to chemoproteomics methodology development and biological applications. Recent work has focused on creating scalable sample preparation techniques (CySP3-96), organelle-specific cysteine capture methods, cholesterol interactome mapping, and cysteine databases (CysDB). Her research bridges basic chemical biology with translational applications, including tuberculosis imaging and understanding vascular inflammation mechanisms. Dr. Backus has received significant research funding, including an NIH DP2 New Innovator Award (GM146246) for 'A systems-level approach to decipher the protein interactome' and an NIH F32 postdoctoral fellowship (GM108208) for 'Fragment-Based Ligand Discovery in Proteomes.' These awards reflect recognition of her innovative approaches to chemical proteomics and protein interaction mapping. Dr. Backus actively mentors graduate students and postdoctoral researchers in her laboratory, with numerous trainees appearing as first or co-first authors on high-impact publications. Her research program maintains strong collaborations across UCLA and with other institutions, particularly with researchers in the Cravatt laboratory (where she completed her postdoctoral training) and with clinical researchers applying chemoproteomic approaches to disease mechanisms. The Backus laboratory functions as an interdisciplinary research hub at the intersection of chemical biology and proteomics. It combines expertise in organic synthesis, mass spectrometry, computational biology, and cell biology to develop and apply chemoproteomic technologies. The lab maintains strong connections with the broader UCLA research community, particularly through the Graduate Program in Bioscience and collaborations with clinical departments studying inflammation, cancer, and infectious diseases.
Dr Eva Hellmann is a Research Associate at the Department of Geography, University of Cambridge. She collaborates with Prof Andrew Friend on research exploring tree growth responses to environmental changes and carbon sequestration. Her work bridges plant genetics, climate science, and environmental biology. Education: 2007: Diploma in Biology from Freie Universität Berlin, Germany 2013: PhD at Freie Universität Berlin, Germany 2018: Associate Fellow of the Higher Education Academy, UK Research focuses on climate-growth relationships in trees, particularly how CO2 levels, temperature, and water availability impact growth and carbon sequestration. She co-develops models to predict tree carbon sequestration under climate change. Key projects include 'Beyond photosynthesis: overturning source-centric plant growth paradigms.' Publications span cytokinin signaling, auxin regulation, and vascular tissue development, with recent work emphasizing tree growth dynamics in changing climates. Awards: Associate Fellow of the Higher Education Academy, UK (2018) Teaching includes supervisions in Plant Science and a course on the 'Short History of Plants.' Current affiliations include the Department of Geography and collaboration with The Sainsbury Laboratory.
Melissa Little is an Honorary Professor at the Institute for Molecular Bioscience (IMB), University of Queensland. Her research focuses on kidney development, organoid engineering, and regenerative medicine. She leads projects like the KidGen national kidney genomics study and has pioneered kidney organoid models for disease modeling and drug screening. Her work bridges developmental biology with translational medicine, aiming to address kidney dysfunction and regeneration. Key collaborations include partnerships with institutions like the GUDMAP database and projects involving stem cell differentiation, nephron progenitors, and vascularization. Her lab explores kidney organoid maturation, viral infection mechanisms, and synthetic kidney design. She has co-authored over 230 journal articles, book chapters, and reviews, with a focus on kidney pathology, stem cell applications, and bioengineering solutions for renal replacement therapy. Her research integrates experimental and computational methods, including single-cell analysis and biophysical modeling, to understand kidney development and disease. She advocates for rigorous organoid standards and ethical applications of stem cell technologies. Melissa Little has been instrumental in establishing Australia's genitourinary research networks and mentoring early-career investigators in the field.
Claudiu Gradinaru is an Interim Chair and Professor in the Department of Chemical and Physical Sciences at the University of Toronto Mississauga. His research focuses on single-molecule biophysics, intrinsically disordered proteins (IDPs), and G protein-coupled receptors (GPCRs). He leads a lab equipped with advanced microscopes for fluorescence imaging and spectroscopy, enabling studies of protein dynamics at the molecular level. Gradinaru earned his Ph.D. in Physics from VU University Amsterdam in 2001, followed by postdoctoral work at Leiden University and Sandia National Labs. He has trained over 30 graduate students and postdoctoral researchers, many of whom have contributed to groundbreaking studies on protein conformational dynamics and receptor signaling. His research integrates experimental and computational methods to address questions about IDP interactions, GPCR activation pathways, and ensemble modeling. Key projects include studying the muscarinic M1 receptor’s behavior in live cells and developing computational tools to refine protein conformational ensembles from experimental data. Gradinaru teaches courses in molecular biophysics, classical mechanics, and optics, emphasizing interdisciplinary training in physics, chemistry, and biology. He collaborates widely with academic and clinical researchers across Canada, the U.S., UK, and Australia. Education: Ph.D. in Physics, VU University Amsterdam (2001) Bachelor’s degree in Physics, University of Bucharest (1995) Labs/Teams: Gradinaru Biophysics Lab at UTM, collaborating with groups in chemistry, biochemistry, and molecular biology. His work has led to novel insights into IDP-GPCR dynamics and their implications for drug development, particularly in cancer and neurodegenerative diseases.
Bryony C. Bonning is a Professor and Eminent Scholar in the Department of Entomology and Nematology at the University of Florida, where she directs the Center for Arthropod Management Technologies (CAMTech). She holds a B.Sc. in Zoology from the University of Durham and a Ph.D. in Entomology from the London School of Hygiene and Tropical Medicine. Her research focuses on developing environmentally benign pest management solutions through insect physiology and pathology studies. Research integrates molecular biology and virology to engineer novel insecticides, with emphasis on Bacillus thuringiensis toxins, viral vectors for toxin delivery, and RNAi strategies against hemipteran pests like the Asian citrus psyllid. Work spans proteomics of insect guts, viral discovery, and transgenic plant development. Awards include the Nan-Yao Su Award for Innovation (2013) and fellowships in ESA and AAAS. Publications demonstrate consistent focus on practical pest management solutions, with recent advances in viral-mediated toxin delivery and specificity databases for pesticidal proteins.
Dr. Qing Wang is an Associate Professor at the Australian National University (ANU) since 2012, leading the Graph Research Lab and the Database Group within the School of Computing. Her research focuses on graph machine learning, data management, and algorithms for dynamic networks. With over a decade of industry experience in data analysis and management, she holds a PhD in Computer Science (Summa Cum Laude) from Christian-Albrechts-University Kiel, Germany. Education: PhD (Dr.rer.nat.) in Computer Science, Christian-Albrechts-University Kiel, Germany (2010) Master of Information Systems (First Class Honours), Massey University, New Zealand (2009) Master of Economics, Jinan University, China Bachelor of Engineering, South China University of Technology, China Research Interests: Dr. Wang explores cutting-edge techniques in graph machine learning, scalable algorithms for large-scale data, and knowledge tracing. Her work bridges theoretical foundations with practical applications, such as improving graph neural networks' expressivity and optimizing distance queries on dynamic road networks. She actively contributes to the development of tools for data integration and privacy-preserving analytics. Grants & Awards: ARC Discovery Project (2021–2023): 'Deep Learning for Graph Isomorphism' ARC Discovery Project (2016–2018): 'Creating the Social Genome' ANU Dean’s Award for Teaching Excellence (2015) Fellow of the Higher Education Academy (2015) Labs & Teams: She leads the Graph Research Lab , focusing on advancing graph algorithms and their applications in real-world systems. Her team collaborates on projects involving dynamic data integration, privacy-preserving techniques, and educational data analytics.
Jukka Lehtonen is a Researcher at Åbo Akademi University's Faculty of Science and Engineering, Department of Biochemistry and Cell Biology. He contributes to the InFLAMES Flagship innovation ecosystem focused on immune system research and Solutions for Health initiatives. Research Expertise: Computational methods for molecular structure analysis, scientific IT infrastructure, compute clusters Collaborations: Biocenter Finland platforms in Biological Imaging, Drug Discovery, Chemical Biology, and Structural Biology Technological Focus: Virtual screening, docking optimization, electrostatic modeling, and bioinformatics tool development His recent publications emphasize pharmacophore modeling, orphan receptor targeting, and JNK signaling in neuronal plasticity. He participates in the 2024-2028 Nordic Pharmaceutical Translation and Innovation project as a Co-Investigator. Dataset Contributions: Developed MariaDB schema for pathogenicity predictions and created the SynGAPMissenseServer website for missense mutation analysis.
Bastien CAZAUX is a Lecturer affiliated with ESPRIT, located at Office S3.49 in Scientific City. His research focuses on bioinformatics algorithms, computational genomics, and data compression techniques. Role: Lecturer at ESPRIT Location: Office S3.49, Scientific City Team: Bonsai His research interests span bioinformatics, algorithms, genome assembly, and graph-theoretic approaches to genomic data processing. Key contributions include work on de Bruijn graphs, k-mer indexing, and efficient compression methods for biological sequences. Recent publications highlight trends in pan-genomic analysis , motif discovery , sequence alignment , and graph-based genome representation . These works often combine algorithmic innovation with practical applications in genomic data processing. He is associated with the Bonsai research team, contributing to foundational work in computational biology and algorithm design.
Mohsen Farid is a Senior Lecturer in Data Science at the College of Science and Engineering. His research spans interdisciplinary areas including artificial intelligence, machine learning, neurotechnology, and healthcare analytics. He has contributed to advancements in genomics data management, video authentication, and neurotechnological solutions for mental health conditions like PTSD. His work frequently integrates computational methods with real-world applications in healthcare and cybersecurity. Key research outputs include studies on storage-optimized genomics systems (2024), neurotechnological interventions for PTSD (2023), and deep learning analyses of histopathology images (2021). His earlier contributions include gait recognition systems (2018) and semantic mapping of legal arguments (2015). Farid’s publications reflect a strong focus on applied data science and its societal impact, particularly in healthcare, security, and biomedical engineering. While no specific awards or grants are explicitly mentioned, his extensive publication record highlights sustained contributions to interdisciplinary data-driven research. His articles often address challenges in data management, pattern recognition, and ethical applications of AI.
Elizabeth Hill, PhD is a Professor in the Department of Public Health Sciences at the Medical University of South Carolina (MUSC) College of Medicine. She serves as Director of the Biostatistics Shared Resource (BSR) at the Hollings Cancer Center, a position she has held since 2017 with a brief interruption when she served as Statistical Director of the Early Phase Oncology Program at Eli Lilly and Company in 2020. Dr. Hill returned to MUSC in January 2021 to resume her directorship of the BSR and continues to hold a tenured professorship. Dr. Hill earned her PhD and MS from Emory University in 2002 and 2001, respectively. Prior to her academic career at MUSC, she worked as a Mathematical Statistician for Northrop Grumman (formerly TRW, Inc.) as a CDC contractor from 2001-2003. Her academic progression at MUSC includes Assistant Professor (2003-2010), Associate Professor (2010-2018), and Professor (2018-present), with additional leadership roles including Vice Chair for Academic Programs (2015-2017). Dr. Hill's research spans the oncology research continuum, with expertise in biostatistics applied to cancer clinical trials, epidemiology, and health disparities. Her work demonstrates strong methodological innovation in Bayesian statistics, longitudinal data analysis, and spatial statistics for cancer research. She has extensive experience collaborating with cancer center investigators on designing bench experiments, early phase clinical trials, and analyzing data from laboratories and large-scale epidemiologic databases. Her research particularly focuses on head and neck cancer care delivery, treatment delays, and health disparities affecting minoritized communities. Analysis of Dr. Hill's recent publications reveals a consistent trajectory in biostatistical methodology development applied to cancer research questions, with particular emphasis on health disparities, treatment adherence, and innovative statistical approaches to complex clinical data. Her work bridges methodological innovation with practical clinical applications, often focusing on improving equity in cancer care delivery. Dr. Hill has served as biostatistics core director (PI or co-PI) for multi-project grants (P01 and U54) and center grants (P30s), demonstrating a strong track record of continuous funding as co-investigator with numerous cancer center investigators. Her leadership extends to directing the Biostatistics Shared Resource, which provides essential statistical support to cancer researchers across the institution. Dr. Hill leads the Biostatistics Shared Resource team at the Hollings Cancer Center, providing statistical expertise and collaboration to cancer researchers across MUSC. Her resource supports the design, implementation, and analysis of cancer-related research studies, contributing significantly to the institution's NCI-designated cancer center status.
Jaime Blair is a Professor of Biology at Franklin and Marshall College, where she has served as Program Chair of Women's, Gender, and Sexuality Studies since 2022. Her career spans research and teaching roles, including Associate Professor (2014-2022) and Assistant Professor (2008-2014) at F&M, and postdoctoral fellowships at Amherst College and Penn State University. B.Sc. in Biology (Ithaca College) Ph.D. in Biology and Astrobiology (Penn State University) Her research focuses on evolutionary genomics of eukaryotes, particularly oomycetes, combining field sampling, molecular tools, and computational analysis to study their taxonomy, phylogenetics, and ecological roles as pathogens in agricultural, aquatic, and terrestrial ecosystems. Recent research trends include oomycete diversity in industrial hemp , genomic profiling of Phytophthora species , and microbial ecology of aquatic pathogens . She has published 15 major works from 2014-2025 in journals like PLoS ONE and Persoonia , emphasizing molecular diagnostics and computational phylogenetics. Scientific Awards & Grants: Pennsylvania Department of Agriculture Grant (2021-2023) for hemp pathogen assessment F&M Enhanced Sabbatical Fellowship (2020-2021) NSF CC*DNI Campus Grant (Co-PI, 2015-2018) American Phytopathological Society Schroth Award (2013) USDA-NIFA Oomycete CAP Grant (Co-PI, 2011-2017) She mentors undergraduate researchers in the Blair Lab, with current members including Kyra Caffrey, Wenrong Wu, Quyen Hoang, and Zoe Shah. Her work integrates molecular tools for pathogen surveillance in agricultural and environmental systems.
Vijayan Sugumaran is a Distinguished Professor of Management Information Systems at Oakland University's School of Business Administration. He chairs the Department of Decision and Information Sciences and co-directs the Institute for Data Science. He holds a Ph.D. in Information Technology from George Mason University (Virginia, USA). His research focuses on Big Data Analytics, Intelligent Agents, and Semantic Web technologies. He leads a $2M NSF grant for STEM-driven data science training and has authored over 350 peer-reviewed articles across journals like Information Systems Research and IEEE Transactions on Big Data . Teaching interests include Advanced Database Systems, Machine Learning, and Predictive Analytics. He has received awards such as the SAS Educator Award (2025), Janke Scholar (2023-2026), and Fulbright Specialist (2012). He serves as editor-in-chief of the International Journal of Intelligent Information Technologies and chairs conference tracks like the Intelligent Agent mini-track at AMCIS. His work bridges academia and industry through collaborations in data science education, smart city infrastructure, and cybersecurity. He advises on analytics programs and has developed frameworks for urban infrastructure resilience using Digital Twins and multi-agent systems. Current projects include blockchain-based participation systems and AI-driven cyberbullying detection.
Dr. Kathryn Allan is a clinician and epidemiologist affiliated with the University of Glasgow under the School of Veterinary Medicine . She graduated as a veterinarian from the Royal (Dick) School of Veterinary Studies, Edinburgh (2008), and completed an intercalated BSc in Veterinary Pathology at the Royal Veterinary College (2005). Her career spans clinical practice in the UK, research in East Africa, and postdoctoral work on zoonotic diseases. Education : DVM, Royal (Dick) School of Veterinary Studies, Edinburgh (2008) BSc (Intercalated), Royal Veterinary College (2005) PhD, University of Glasgow (2016) Kathryn's research focuses on zoonotic diseases at the human-animal interface, particularly leptospirosis , Q fever , and Rift Valley fever in East Africa. Her work employs multidisciplinary approaches within a One Health framework to reduce disease burdens in marginalized communities. Recent projects include evaluating interventions for livestock abortions in Tanzania and sustainable control measures for cerebral coenurosis. Her publication trends emphasize epidemiological modeling , pathogen detection , and zoonotic risk analysis , with frequent collaborations across veterinary sciences , public health , and virology . She has secured grants from the Wellcome Trust , Hannah Dairy Research Foundation , and the Academy of Medical Sciences to investigate zoonotic diseases in Scotland and Tanzania. Current projects include marine mammal pathology with the Sea-Changers grant, analyzing Coxiella burnetii in dairy cattle, and operationalizing One Health interventions in Tanzania. She collaborates with institutions like the Royal Society of Tropical Medicine and Hygiene and contributes to conservation medicine via strandings data analysis.
