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Lydia TaberneroView profile

Professor

The University of ManchesterUnited Kingdom

Lydia Tabernero is a Professor of Structural Biology & Drug Discovery at the University of Manchester, affiliated with the Division of Evolution, Infection and Genomics. Her research focuses on structural and chemical biology of protein phosphatases and signaling proteins, with a particular emphasis on drug discovery targeting cancer and infectious diseases. She leads projects investigating molecular mechanisms of disease, including tuberculosis and fungal infections, using X-ray crystallography, biochemical methods, and computational tools. Her research interests include: Reversible phosphorylation in signaling pathways Structure-based drug design for protein phosphatases In vitro screening and computational methods for inhibitor discovery Collaborative preclinical trials across Europe and the US Recent articles highlight work on Mycobacterium tuberculosis inhibitors, fungal pathogen metabolism, and drug discovery tools like VSpipe-GUI. Her work contributes to UN Sustainable Development Goals related to health and well-being. She has supervised 9 students and collaborated on projects such as the High-resolution cyclic ion mobility HDX mass spectrometry initiative. Notable contributions include advancing non-antibiotic tuberculosis treatments and identifying novel drug targets in pathogens. Her lab is part of the Lydia Becker Institute and Christabel Pankhurst Institute, fostering interdisciplinary research in drug development and structural biology.

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Benjamin SchwessingerView profile

Professor

Australian National University (ANU)Australia

Prof Benjamin Schwessinger is a Professor at the Australian National University (ANU), affiliated with the Division of Plant Sciences. His research focuses on plant pathogens, fungal genomics, and the evolutionary dynamics of pathogen adaptation. Key areas include understanding rust fungi biology, host-pathogen interactions, and structural genomic variations in plants like Eucalyptus. He has pioneered methodologies for high-throughput protein secretion optimization in yeast and developed diagnostic tools for invasive pathogens such as Austropuccinia psidii (myrtle rust). Research Interests: Plant-microbe interactions and immunity Fungal genomics and sexual recombination mechanisms Evolving pathogen populations in agricultural systems Genomic tools for disease surveillance and biosecurity His recent work explores the genomic basis of pathogen adaptation, including studies on wheat stripe rust and myrtle rust. Collaborations span fungal pathogenomics, eucalyptus structural genomics, and yeast biotechnology. He leads multiple projects funded by ANU and ARC, including the Plant Biosecurity Training Centre. His lab emphasizes reproducible research practices and early career researcher development. Key projects include: Digital yeast bioprospecting for non-alcoholic beer production Surveillance of airborne pathogens in Australian Botanic Gardens Genome evolution of cereal rust fungi Labs/Teams: Core member of ANU's Plant Biosecurity Group and collaborator in the ARC Training Centre in Plant Biosecurity.

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Achim KramerView profile

Professor

Heidelberg UniversityGermany

Achim Kramer serves as Professor of Chronobiology (W2, tenured) at Charité - Universitätsmedizin Berlin, where he chairs the independent Research Unit for Chronobiology within the Institute of Medical Immunology. His academic career spans molecular chronobiology research and teaching since 2002, with significant contributions to understanding circadian clock mechanisms in mammals. His educational background includes a Biochemistry degree from Freie Universität Berlin (1988-1993), a Ph.D. in Biochemistry (summa cum laude, 1996) from Humboldt Universität zu Berlin, and piano training at Berlin's Hochschule der Künste (1990-1994). Postdoctoral work included research at Harvard Medical School (1999-2001) under Charles Weitz and positions at IRBM Rome and Charité. Dr. Kramer's research centers on molecular mechanisms of circadian clocks, with expertise in protein interactions (CRY1-PER2), post-translational modifications, peripheral tissue clocks (macrophages, skin), and translational applications like circadian blood biomarkers. His work bridges structural biology, immunology, and sleep medicine to address how biological timing affects health and disease. Analysis of his publications reveals consistent focus on circadian molecular machinery across diverse biological contexts, with increasing translational emphasis in recent years on diagnostic applications and tissue-specific clock functions. His structural work on cryptochromes and phosphorylation mechanisms underpins fundamental understanding of clock regulation. Key honors include the Heinz-Maier-Leibnitz Award (DFG, 2002), Brooks Fellowship (Harvard, 2001), multiple Teaching Awards for Medical Neurosciences (2010-2015), and a Young Researcher's Award from Charité (1998). He leads the Chronobiology Research Unit within Charité's Institute of Medical Immunology, participating in the SFB/TRR186 consortium on molecular switches. His service includes chairing the 2015 Gordon Research Conference on Chronobiology, editorial roles at PLoS Genetics and Journal of Biological Rhythms, and leadership positions in the Society for Research on Biological Rhythms and European Biological Rhythms Society.

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Aviv BergmanView profile

Professor

Yeshiva UniversityUnited States

Aviv Bergman is a Professor at Albert Einstein College of Medicine, holding appointments in the Department of Systems & Computational Biology, Department of Pathology, and Dominick P. Purpura Department of Neuroscience. He is also Founding Chairman of the Department of Systems & Computational Biology and Director of the Albert Einstein Institute for Advanced Study in the Life Sciences. His research integrates computational, mathematical, and experimental approaches with philosophical frameworks (phenomenology, hermeneutics, pragmatism) to study evolutionary and developmental systems biology, focusing on complex traits, biological networks, and the interplay between function, organization, and agency in living systems. Prior publications highlight his work on evolutionary capacitance, gene network topology, developmental canalization, and genome-wide amino acid patterns. He emphasizes iterative refinement of theoretical models through empirical data validation.

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Mary MillerView profile

Professor

Rhodes CollegeUnited States

Mary Miller is a Professor of Biology at Rhodes University, specializing in cell cycle regulation and cancer biology. Her research focuses on the molecular mechanisms governing eukaryotic cell division, particularly cyclin protein dynamics and DNA damage responses. B.A., University of Tennessee Ph.D., University of Virginia (Genetics, Microbiology, Cell Biology) Her laboratory investigates how the anticancer drug KP1019 induces cell cycle arrest in Saccharomyces cerevisiae , with implications for oncogenic processes in humans. Key areas include: Genome-wide transcriptional analysis Cell division cycle coordination Protein localization mechanisms Chemotherapeutic drug effects Recent publications highlight KP1019's impact on DNA damage responses and educational initiatives in yeast genetics. Collaborations include work with Pam Hanson and Laura Stultz.

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Tim CausonView profile

Associate Professor

University of Natural Resources and Life Sciences ViennaAustria

Tim Causon is an Associate Professor at the Institute of Analytical Chemistry, Department of Chemistry, University of Natural Resources and Life Sciences (BOKU) in Vienna, Austria. With a PhD from the University of Tasmania and habilitation in analytical chemistry, he has established himself as a leading expert in mass spectrometry and metabolomics applications. His research focuses on developing advanced analytical methods with particular emphasis on ion mobility mass spectrometry techniques and their applications in biotechnology and metabolomics. Dr. Causon's research interests center on method development for mass spectrometric analyses in metabolomics, particularly for biotechnology and bioprocess engineering applications. His work explores fundamental studies of molecular ions and analytical applications of ion mobility mass spectrometry (IM-MS), with significant contributions to capillary electrophoresis, chromatography, and metabolomics. His laboratory develops innovative approaches for metabolite identification, structural characterization, and quantitative analysis, with applications spanning from bioproduction to environmental analysis. His recent publications demonstrate a strong focus on advancing ion mobility mass spectrometry techniques, with particular attention to collision cross section measurements, metabolite identification, and method development for complex biological and environmental samples. His work spans fundamental studies of ion behavior to practical applications in biotechnology, food science, and environmental analysis. Scientific Awards: Fritz Feigl Award from the Austrian Society of Analytical Chemistry (2022) Dr. Causon has successfully secured substantial research funding through numerous projects, including the EU-funded MobiliTraIN: Ion Mobility-Mass Spectrometry Training Network (2024-2028) and several industry collaborations. He has supervised multiple doctoral and master's students whose work focuses on analytical method development, metabolomics, and ion mobility applications. His laboratory maintains strong collaborations with both academic and industrial partners across Europe. As an active member of the scientific community, Dr. Causon organizes major conferences such as the IMS Symposium 2023 and serves on editorial boards and as a reviewer for leading analytical chemistry journals. His laboratory is well-equipped for advanced mass spectrometry research with multiple ion mobility-capable mass spectrometers and complementary analytical instrumentation.

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Gilles PeslherbeView profile

Professor

Concordia UniversityCanada

Gilles Peslherbe is a Professor at Concordia University, cross-appointed in the departments of Chemistry and Biochemistry , Physics , and Chemical and Materials Engineering . He leads the Centre for Research in Molecular Modeling (CERMM) and supervises graduate students in programs spanning Chemical Engineering, Chemistry, Physics, and Nanoscience. PhD in Physical Chemistry with Minor in Computer Engineering (Wayne State University, USA) Diplôme d'Ingénieur Chimiste (Ecole Supérieure de Chimie Industrielle de Lyon, France) His research integrates computational chemistry , quantum mechanics , and machine learning to model chemical processes in extreme conditions, drug delivery systems, and environmental impact assessments. Collaborative projects include studies on spin catalysis , nanostructured materials , and RNA structure fundamentals . Recent publications highlight applications of artificial intelligence in therapeutics development , density-functional theory in nanomaterials , and ultrasfast spectroscopy in electron solvation . His work bridges quantum computing and biological simulations . Teaching includes courses on quantum theory , computational chemistry , and statistical mechanics . He actively seeks students for ongoing projects in chemical interactions in extreme conditions and environmental remediation .

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Aurora MartinezView profile

Professor

University of BergenNorway

Aurora Martinez is a Professor in the Department of Biomedicine at the University of Bergen, Faculty of Medicine. She leads the Biorecognition research group, focusing on the structural and functional aspects of biomolecules in neurometabolic disorders such as phenylketonuria (PKU) and dopamine synthesis defects. She is also a partner in the KG Jebsen Centre for Neuropsychiatric Disorders and a Toppforsk-funded project on the Arc protein, a master regulator of synaptic plasticity. Position: Professor Institution: University of Bergen Department: Department of Biomedicine Research Group: Biorecognition Email: aurora.martinez@uib.no Her research integrates structural biology, molecular recognition, and drug discovery to develop therapeutic strategies for genetic and neurodegenerative diseases. Key areas include tyrosine hydroxylase regulation, mitochondrial dysfunction in dopaminergic cells, and neurotransmitter transport mechanisms. She employs biochemical, cellular, and computational approaches to understand disease mechanisms and identify novel therapeutics. The recent publications (2023–2025) reflect a strong trend toward understanding dopamine-related pathways, protein stabilization, and therapeutic interventions in Parkinsonism and related disorders. Themes include chaperone-mediated protein stabilization, high-throughput screening for VMAT2 modulators, and computational tools for drug discovery. The work combines experimental validation with translational applications in neurodegenerative models. She has supervised multiple Master’s students, including Md. Ekhtear Mahmud, Sofie Breisnes Wormdahl, and Kristine Kippersund Brokstad, indicating active mentorship and training roles. Her involvement in large-scale collaborative projects highlights leadership and interdisciplinary engagement. While no specific awards are listed, her participation in prestigious programs like Toppforsk and the KG Jebsen Centre underscores recognition and funding success. She has no listed grants explicitly, but project affiliations suggest competitive funding support. Her research group maintains strong technical capabilities in protein analysis, cellular screening, and structural modeling. The Martinez Lab is actively involved in both fundamental and applied research, with future directions likely to expand into gene therapy, precision medicine for metabolic disorders, and neuroprotective strategies.

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John H. ReifView profile

Professor

Duke UniversityUnited States

John H. Reif is a Professor of Computer Science at Duke University, with secondary appointments in the Thomas Lord Department of Mechanical Engineering and Materials Science (since 2024) and the Department of Electrical and Computer Engineering (since 2016). His research spans DNA computing , molecular assembly , robot motion planning , and quantum computation , focusing on programmable biomolecular systems and parallel algorithms. Education: Ph.D. in Applied Mathematics, Harvard University (1977) M.S. in Applied Mathematics, Harvard University (1975) B.S. in Applied Mathematics and Computer Science, Tufts University (1973) His recent publications emphasize DNA strand displacement , molecular-scale learning systems , and 3D DNA nanostructures , with applications in diagnostics, data storage, and nanofabrication. Articles highlight innovations in error-resilient DNA circuits, programmable self-assembly, and algorithmic modeling of molecular processes. Scientific Awards: Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) He has supervised numerous Ph.D. students and postdoctoral researchers , including Rajiv Nagipogu (adaptive molecular systems) and Xin Song ( Daniel Fu , DNA computation on cell membranes). His work is funded by grants from the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation (NSF) , with recent focus on molecular-scale AI and DNA polymerase reaction networks. Reif co-founded Domus Diagnostics , developing affordable infectious disease testing solutions. He served as General CoChairman of FNANO24 and contributes to teaching courses like Computational Complexity and Molecular Assembly and Computation .

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Mile ŠikićView profile

Professor

University of ZagrebCroatia

Prof. Mile Šikić is a Full Professor at the Department of Electronic Systems and Information Processing, Faculty of Electrical Engineering and Computing (University of Zagreb). His research spans computational biology, genomics, and machine learning applications in sequencing technologies. Focus on nanopore sequencing analysis, genome assembly, and protein interaction prediction Developed tools like GraphMap , RiNALMo , and Orthobalancer Active in metagenomics, RNA structure prediction, and CUDA-based algorithm acceleration Scientific contributions include: Advances in de novo genome assembly for error-prone long reads Deep learning models for base modification detection Efficient algorithms for sequence alignment and similarity searches Technical implementations cover: GPU-accelerated sequence alignment libraries (e.g., SW# ) Web platforms for comparative protein analysis Simulation tools for epidemic spread on complex networks

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Raşit BilginView profile

Associate Professor

Bosphorus UniversityTurkey

Raşit Bilgin is an Associate Professor at the Institute of Environmental Sciences, Boğaziçi University, Istanbul, where he has been serving since 2012. He previously held positions as Assistant Professor (2008–2012) and Instructor (2007–2008) at the same institute. His academic leadership includes serving as the Chair of the Department of Environmental Sciences. Education: Ph.D., Department of Ecology, Evolution and Environmental Biology, Columbia University, USA (2006) M.Phil., Department of Ecology, Evolution and Environmental Biology, Columbia University, USA (2003) M.A., Department of Ecology, Evolution and Environmental Biology, Columbia University, USA (2002) M.S., Institute of Environmental Sciences, Boğaziçi University, Turkey (2000) B.S., Civil Engineering Department, Boğaziçi University, Turkey (1998) His research lies at the intersection of molecular ecology, evolutionary biology, and conservation genetics, with a strong focus on environmental DNA and phylogeography. He investigates genetic patterns in marine and terrestrial species, particularly in Anatolia and the Mediterranean, aiming to understand biodiversity dynamics and inform conservation strategies. His work often integrates genomic tools with ecological modeling to explore population history and species resilience. The recent publications highlight a consistent trend in using molecular markers—especially mitochondrial and nuclear DNA—to study population structure, historical demography, and species distribution. His research spans marine crustaceans, bats, and broader biodiversity assessments, reflecting a multidisciplinary approach combining field ecology, genomics, and computational tools. Scientific Awards: No specific awards mentioned in the provided text. Raşit Bilgin has been actively involved in research funding and project leadership, including TÜBİTAK 1001 and 2501 projects, as well as internal Boğaziçi University grants. These projects focus on conservation genomics of seabirds, coral disease resistance, and Antarctic amphipods. While direct student advising is not explicitly listed, his leadership in research projects suggests mentorship of graduate students. He has developed analytical tools like Kgtests, indicating a contribution to methodological advancements in population genetics. He leads research initiatives involving multi-omics, acoustic monitoring, and GPS-GSM tracking, suggesting an interdisciplinary lab environment focused on innovative conservation technologies. His team likely includes researchers working on genomics, bioinformatics, and field ecology, particularly in extreme environments such as the Antarctic and Mediterranean ecosystems.

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Chambers C. HughesView profile

Researcher

University of TübingenGermany

Chambers C. Hughes is a Research Group Leader in the Department of Microbial Bioactive Compounds at the University of Tübingen, Germany. Previously, he held positions as an Assistant Professor at the Scripps Institution of Oceanography (2012–2019) and a postdoctoral researcher with Prof. William Fenical (2005–2012). His research focuses on microbial natural product discovery, synthesis, and chemical biology, particularly employing reactivity-guided isolation and bioactivity-guided approaches to uncover novel bioactive compounds. His group has pioneered methods using chemoselective probes to target metabolites with specific functional groups, enabling the discovery of siderophores, antibiotics, and other secondary metabolites. Education: B.S. in Biochemistry, Geneseo College (1999) Ph.D. in Chemistry, University of California, Berkeley (2004) Research Interests: The Hughes Group explores microbial natural products using cutting-edge techniques like NMR spectroscopy and mass spectrometry. They focus on marine and terrestrial organisms, emphasizing the development of chemical labeling strategies to identify electrophilic compounds (e.g., epoxides, β-lactams) and conjugated alkenes. Their work bridges synthetic chemistry and biological activity, targeting antibiotic discovery, enzyme inhibition, and metabolic pathway elucidation. Notable Contributions: The group has characterized marinopyrroles (protonophoric antibiotics), kasichelins (siderophores), and vatiamides (polyketide natural products). Their methods have revealed artifacts in previously reported natural products and enabled genome-mining approaches to de-orphan biosynthetic gene clusters. Students & Collaborations: Current students include Shu-Ning Xia, Sehee Jang, Luca Salvi, and Max Knab. Collaborations span microbiology, synthetic chemistry, and bioinformatics, with key partners at the University of Tübingen and Scripps Oceanography. Labs & Facilities: The Hughes Research Group operates within the Interfaculty Institute of Microbiology and Infection Medicine, leveraging advanced analytical tools for natural product characterization and synthesis.

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Scott BantaView profile

Professor

Columbia UniversityUnited States

Scott Banta is the Chair of the Department of Chemical Engineering and a Professor of Chemical Engineering at Columbia University. His research focuses on protein engineering, metabolic engineering, and synthetic biology to address challenges in bioengineering, including biotechnology, nanotechnology, and environmental applications. He leads the Banta Lab, which develops novel biomaterials like calcium-dependent beta-roll peptides for applications in hydrogel formation, bioseparations, and biofuel production. Notable projects include engineering thermostable alcohol dehydrogenases for diverse catalytic functions and founding Ironic Chemicals LLC to create biofuels from copper mining waste. Professional experience includes roles as Professor (2015–present), Associate Professor (2009–2015), and Assistant Professor (2004–2009) at Columbia. Prior to this, he was a postdoctoral researcher at Harvard Medical School (2002–2004). He earned his BSE from the University of Maryland Baltimore County (1997) and MS/PhD from Rutgers University (2000/2002). He holds honors such as AIMBE Fellowship (2016) and the James M. Van Lanen Award (2016). His lab’s work spans enzyme engineering for biofuel production, microbial systems for metal recovery, and synthetic biology tools for cofactor regeneration. Key collaborations include development of protein-nanomaterial interfaces and electrofuels from CO₂. His research has generated over 70 publications, with recent emphasis on biomining microbiology, calcium-responsive peptides, and sustainable metallurgical processes. He serves as Associate Editor of Biotech. Eng. J. and leads the Biochemical Technology Division of the American Chemical Society.

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Ling YueView profile

Senior Lecturer

National University of SingaporeSingapore

Dr. Ling Yue is a Senior Lecturer in Finance at the National University of Singapore (NUS) Business School, specializing in Financial Markets and Analytics, Financial Technology, and AI in Higher Education. She holds a Ph.D. in Finance from INSEAD and has taught at NUS, Curtin University, and contributed to educational initiatives at INSEAD. Her research focuses on banking, investment strategies, and leveraging technology in education. Dr. Yue has received prestigious awards, including the NUS Business School Teaching Excellence Award (2023, 2025) and the NUS Annual Teaching Excellence Award (2024). Research Interests: Dr. Yue’s work spans Financial Technology, Corporate Governance, and AI-driven educational tools. She has published extensively on topics like market timing, corporate finance strategies, and biomarkers in neurodegenerative diseases, reflecting her interdisciplinary approach to finance and healthcare intersections. Teaching & Grants: She leads the Learning Community Project on AI Teaching Assistants (NUS Teaching Enhancement Grant 2023/24). Notable courses include Machine Learning in Investments and Financial Risk Management. Her teaching philosophy emphasizes innovation and student empowerment. Publications Overview: Her recent articles address corporate delisting decisions, climate finance, and retail trading dynamics. Earlier works explore biomarkers for Alzheimer’s disease and vascular cognitive impairment, showcasing her dual focus on finance and biomedical research.

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Gian Maria Niccolo’ (Nico) BenucciView profile

Researcher

Michigan State UniversityUnited States

Dr. Gian Maria Niccolo’ Benucci is a Data Analyst and Bioinformatician at the Great Lakes Bioenergy Research Center (GLBRC) and the Department of Plant, Soil and Microbial Sciences at Michigan State University (MSU). He holds a Ph.D. in Biology and Biotechnology from the University of Perugia, Italy, with expertise in microbial ecology, plant-microbe interactions, and mycology. His research focuses on holobiont dynamics, microbial community responses to environmental changes, and microbiome manipulation to enhance host health. He has published over 55 peer-reviewed articles and collaborates with 160+ researchers globally. Dr. Benucci's work integrates genomics, bioinformatics, and machine learning to study microbiome structure and function across ecosystems. He co-leads GLBRC's bioinformatics support hours and is involved in the National Microbiome Data Collaborative. His teaching includes courses like Statistics for Biologists (STT464) and modules in Advanced Mycology . Key research areas: Mycorrhizal symbioses, truffle microbiome dynamics, and sustainable agriculture practices. His contributions span from fungal systematics (e.g., Tuber rugosum discovery) to bioenergy crop optimization.

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