Find Academic Supervisors

• Biochemistry
• Protein Science
• Pharmaceutical Chemistry
• +2 more

Stefano Bruno is an Associate Professor at the Department of Pharmacy, University of Parma with a focus on Biochemistry . He holds a PhD in Biochemical Sciences from the University of Turin (2002) and has been teaching since 2004, including courses like Applied Biochemistry and Clinical Biochemical Analysis across multiple degree programs. Education : 1997: MS in Pharmaceutical Chemistry, University of Parma 2002: PhD in Biochemical Sciences, University of Turin His research spans heme proteins , enzyme characterization , and pharmaceutical applications . Key areas include: Structural and functional analysis of hemoproteins (e.g., neuroglobin, cytoglobin) Development of blood substitutes via hemoglobin modifications Investigation of serine racemase and phosphoserine phosphatase in neurological contexts Protein immobilization in silica gels for functional studies His publications (70+ peer-reviewed, H-index 20) emphasize Antarctic bacterial proteins , enzymatic inhibition , and radiopharmaceutical quality control . He has supervised 8 PhD students and contributed to international conferences like the International Symposium on Blood Substitutes . Recent work includes fluorescent biosensors, NO sensing proteins, and covalent enzyme inhibitors for cancer therapy . Awards : No specific scientific awards listed. Teaching & Leadership : Active in PhD programs ( Biochemistry , Pharmaceutical Sciences ), international schools like the ULLA Summer School , and conference organization (e.g., New Challenges in Protein Science ).

Jennifer Anne DoudnaView profile

Professor

• Genome Editing
• CRISPR Technology
• RNA Biology
• +5 more

Jennifer Anne Doudna is a Nobel Laureate in Chemistry and the Li Ka Shing Chancellor's Chair Professor in the Department of Chemistry and the Department of Molecular and Cell Biology at the University of California, Berkeley. She is also a faculty scientist at Lawrence Berkeley National Laboratory, a senior investigator at the Gladstone Institutes, and an adjunct professor at the University of California, San Francisco. Her academic journey began at Pomona College, continued with graduate studies at Harvard University, and included postdoctoral work at Massachusetts General Hospital, Harvard Medical School, and the University of Colorado Boulder with Thomas Cech. Dr. Doudna is best known for pioneering CRISPR-Cas9 genome editing technology, for which she received the Nobel Prize in Chemistry in 2020 alongside Emmanuelle Charpentier. Her research spans RNA biology, structural biology, and the development of genome editing tools. She directs the Innovative Genomics Institute (IGI), a Berkeley-UCSF collaboration focused on applying genome editing to human health, agriculture, and climate change challenges. Her current research focuses on discovering novel CRISPR-Cas systems, developing new genome editing tools, and creating delivery mechanisms for CRISPR therapeutics. Dr. Doudna's recent publications reveal an expanding application of CRISPR technology beyond basic research into practical solutions for global challenges. Her work now encompasses viral diagnostics (including rapid CRISPR-based COVID-19 tests), microbiome editing for climate applications, and therapeutic approaches for genetic diseases like sickle cell disease. This evolution from fundamental RNA structure research to real-world applications demonstrates the transformative potential of her discoveries. Nobel Prize in Chemistry (2020) Breakthrough Prize in Life Sciences (2015) Japan Prize (2017) Kavli Prize in Nanoscience (2018) Wolf Prize in Medicine (2020) National Medal of Technology and Innovation (2025) Dr. Doudna has mentored dozens of graduate students and postdocs who have established successful research programs and biotechnology companies. Her lab receives substantial funding for CRISPR delivery mechanisms, microbiome editing, and therapeutic applications. She actively participates in ethical discussions surrounding gene editing, supporting somatic editing while advocating caution regarding germline modifications. As founder and chair of the IGI governance board, she leads efforts to apply precision genome editing to microbial communities for climate and health applications, recently securing $70 million for this audacious initiative.

Marcella BassettoView profile

Senior Lecturer

• Molecular modelling
• Computer-aided drug design
• Medicinal Chemistry
• +5 more

Dr. Marcella Bassetto is an Honorary Senior Lecturer in the Department of Chemistry within the Faculty of Science and Engineering at Swansea University. She joined Swansea University in September 2019 as a Lecturer in Chemistry, following a Sêr Cymru II Individual Research Fellowship at Cardiff University where she focused on computer-aided design and synthesis of new antiviral agents. Her expertise spans molecular modeling, computer-aided drug design, medicinal chemistry, synthetic organic chemistry, and antiviral research. Dr. Bassetto earned her degree in Medicinal Chemistry and Technology from the University of Padova, Italy, in 2010, and completed her PhD in Medicinal Chemistry from Cardiff University in 2013. Her doctoral research focused on computer-aided design and synthesis of potential antiviral agents against HCV. After her PhD, she worked as a Post-Doctoral Research Associate at Cardiff University developing fluorinated anticancer agents for prostate cancer treatment, followed by a brief stint at a pharmaceutical company in Rome as a synthetic chemist. Her research interests center on computer-aided drug design and synthesis of novel therapeutic agents, with particular focus on antiviral compounds targeting viruses such as norovirus, chikungunya, Zika, and SARS-CoV-2. She employs molecular modeling and structure-based approaches to design novel compounds that can inhibit viral replication or correct protein misfolding in retinal diseases. Her work bridges computational chemistry with synthetic organic chemistry to develop potential therapeutics for various diseases. Analysis of her recent publications reveals a strong trend in antiviral drug discovery, with significant focus on structure-based and ligand-based design approaches. Her research spans multiple viral targets including norovirus polymerase, EV71, chikungunya virus, and SARS-CoV-2. She has also made contributions to research on chemical chaperones for retinal diseases and anticancer agents targeting leukemia and prostate cancer. Sêr Cymru II Individual Research Fellowship (2016) Dr. Bassetto is actively involved in postgraduate supervision, having supervised PhD projects on topics including antiviral agent development and novel materials for gas separation. She has secured research funding for projects targeting schistosomiasis, retinal blinding diseases, norovirus treatments, and antiviral compounds against vector-borne diseases like chikungunya and Zika. Her teaching focuses on organic and biological chemistry for undergraduate chemistry students, with emphasis on medicinal chemistry and drug design principles. Her research involves collaboration with multiple laboratories and institutions, particularly with Professor Brancale's group at Cardiff University. She maintains an active research program with ongoing projects targeting viral diseases and protein misfolding disorders, utilizing both computational and experimental approaches in her drug discovery pipeline.

• Glycobiology
• Synthetic Chemistry
• Chemical Biology
• +3 more

Ben Schumann is a Senior Lecturer in Chemical Biology at Imperial College London and a Group Leader at the Francis Crick Institute, UK. Diploma in Biochemistry (2010, Tübingen University) Doctor of Natural Sciences (2015, Max Planck Institute & Freie Universität Berlin) Postdoctoral Fellow (2016, Stanford University) under Alexander von Humboldt Foundation Feodor Lynen Fellowship His research focuses on glycobiology , particularly O-glycosylation and bioorthogonal chemistry , applying synthetic precision tools to study glycan roles in diseases like cancer and infectious pathogens. His work bridges organic synthesis , molecular biology , and proteomics , with a focus on GalNAc transferases and glycan analysis . Recent publications highlight trends in glycan engineering , cell-specific tagging , and glycoprotein profiling using bump-and-hole strategies and metabolic labeling. Collaborations span structural biology, proteomics, and computational biology. Scientific Awards Otto Hahn Medal (2017) Award for Excellence in Glycosciences He co-authored 27 Crick publications (2018–2025) and 8 pre-Crick works. As Director of Imperial's MRes in Drug Discovery and Development, he trains next-generation scientists. His lab integrates genome engineering, chemo-enzymatic synthesis, and quantitative biology to unravel glycan functions.

Matthew ZawistowskiView profile

Associate Clinical Professor

• Statistical and Population Genetics
• Electronic Health Records
• Risk Prediction
• +2 more

Matthew Zawistowski is a Clinical Associate Professor in the Department of Biostatistics at the University of Michigan School of Public Health . He completed his PhD and postdoctoral training at the University of Michigan, focusing on statistical genetics and population genetics. His work bridges Electronic Health Records (EHRs) with genomic data through the Michigan Genomics Initiative (MGI) . Education: PhD in Biostatistics, University of Michigan (2011) MS in Biostatistics, University of Michigan (2007) MS in Mathematics, Lehigh University (2005) BS in Mathematics, Saint Joseph's University (2003) Zawistowski’s research focuses on statistical genetics , precision medicine , and EHR-based phenotyping . He develops methods for analyzing genetic variants in large-scale sequencing studies and explores how polygenic risk scores can inform disease prediction and treatment strategies. His publications highlight expertise in polygenic risk modeling , meta-analysis , and genomic data integration . Key collaborations include the MGI and the BRIDGES Consortium , with applications in cancer, diabetes, and psoriasis genetics. Scientific awards: 2022 SPH Excellence in Teaching award

• Medieval Literature
• Translation Studies
• Reception Studies
• +5 more

Dr. Natalia Petrovskaia is an Assistant Professor at Utrecht University's Department of Languages, Literature and Communication , specializing in Celtic Studies within the Humanities faculty. She serves as Program Coordinator for the BA in Celtic Languages and Culture Domain Coordinator for the Humanities Honours Programme Board Member of the Utrecht University Centre for Medieval Studies Having earned her PhD at the University of Cambridge and held a Clare Hall Research Fellowship (2012-14), she later received a Humboldt Research Fellowship (2016) at Philipps-Universität Marburg. Her research focuses on Medieval geographical traditions Textual translation/transmission Arthurian literature Encyclopedic knowledge systems Reception studies History of the book Her recent publications include monographs like Transforming Europe (2025) analyzing Imago mundi translations, and The Modern Afterlives of Old Irish Travel Narratives (2025) exploring connections between Star Trek and medieval Irish texts. She contributes to Queeste as a reviews editor and organizes public engagement events like 'Cracking the Celtic Code' at the Weekend of Science. Scientific Awards : NWO Veni Award (2016) Arthurian Essay Prize (2021) Global Engagement Fund Award (2025) She supervises the PhD project 'Empowering Individuals, Opening Cities' with Arnoud Visser and Rozanne Verdendaal, and teaches courses ranging from Old Irish to Media and Persuasion in Premodern Europe .

Peter MacgregorView profile

Lecturer

• Algorithms
• Data Science
• Machine Learning
• +4 more

Peter Macgregor is a Lecturer at the School of Computer Science, University of St Andrews, specializing in algorithms for data science and machine learning. His research focuses on graph theory, clustering algorithms, and computational geometry for similarity search. Primary Affiliation: School of Computer Science, University of St Andrews Research Themes: Spectral clustering, Clustering algorithms, Graph algorithms, Similarity search, Theoretical computer science Research Interests: Data Science and Machine Learning are at the core of Peter Macgregor's research, with a particular emphasis on Spectral Clustering, Clustering Algorithms, and Computational Geometry. He explores topics like kernel density estimation for similarity graphs, efficient data structures for dynamic datasets, and theoretical guarantees for clustering methods. Scientific Output Trends: His recent work (2022-2025) spans spectral clustering optimizations, dynamic DBSCAN variants, and similarity graph approximations. Publications focus on algorithmic efficiency, clustering quality metrics, and theoretical foundations of machine learning.

Silvia CammaroneView profile

Researcher

• Pharmaceutical Chemistry
• Organic Chemistry
• Nanotechnology
• +5 more

Silvia Cammarone is a Researcher at the Department of Pharmaceutical Chemistry and Technology within Sapienza University of Rome . Her work spans pharmaceutical chemistry, nanotechnology, and natural product-based drug development, with a focus on antimicrobial resistance reversal and tumor-targeted therapies. Research Focus: Antibiotic delivery systems, immunosensor development, and cancer-targeting compounds Key Projects: Synthesis of Smoothened receptor antagonists for Hedgehog-dependent tumors Research Interests center on overcoming antibiotic resistance through ArnT inhibitors, developing nanovehicles for drug delivery, and exploring natural products for anticancer and antiviral applications. Her work on resorc[4]arene-functionalized nanomaterials advances biosensor technology. Publication Trends show expertise in Journal of Organic Chemistry , International Journal of Pharmaceutics , and Antibiotics , with recent emphasis on nanocarrier systems and structure-activity relationship studies. Scientific Collaborations include participation in the Paul Ehrlich Euro-PhD Network and the XLVI International Summer School on Organic Synthesis.

Guillaume MarçaisView profile

Researcher

• Computational Biology
• Algorithm design
• Graph theory
• +4 more

Guillaume Marçais is a System Scientist in Dr. Kingsford's group at the Computational Biology Department of Carnegie Mellon University. His research focuses on algorithm development and improvement in Bioinformatics, with particular emphasis on genome assembly, RNA transcript assembly, sequence alignment, and biological data storage, search and retrieval. Education: PhD in Applied Mathematics, 2011, University of Maryland Maitrise de Mathématiques, 2001, Université Paris VII René Diderot Diplôme d'Ingénieur en Informatique et Télécommunications, 1999, Institut National des Télécommunications Marçais' research interests center on computational biology with a strong focus on algorithm design and graph theory. His work has significantly advanced sequence sketching methods, particularly minimizers and k-mer based approaches for handling large-scale genomic data. He has made important contributions to understanding the theoretical properties of these methods while developing practical implementations that improve efficiency in genomic analysis. His research bridges theoretical computer science with practical applications in bioinformatics, addressing computational challenges in modern genomic data analysis. Analysis of Marçais' publication record reveals a consistent focus on sequence sketching methods and k-mer selection techniques. His work has evolved from foundational theoretical work on minimizers to more complex applications involving reverse complements and generative models. The research demonstrates a progression from basic algorithm development to addressing specific challenges in genomic data analysis, with applications spanning sequence alignment, genome assembly, and large-scale data processing. His recent work on k-nonical space represents a significant advancement in handling double-stranded DNA sequences within sketching frameworks. Marçais maintains an extensive collaborative network, primarily with Carl Kingsford and other researchers at Carnegie Mellon University. His work often appears in high-impact computational biology journals and conferences, demonstrating the significance of his contributions to the field. While specific grant information isn't detailed in the provided texts, his consistent publication record suggests sustained research funding for his work in computational genomics. As part of Dr. Kingsford's research group at CMU, Marçais contributes to a vibrant research environment focused on developing innovative computational methods for biological data analysis. His work forms an integral part of the group's efforts to address computational challenges in modern genomics, particularly those arising from the increasing scale and complexity of sequencing data.

• Genetics
• Molecular Biology
• Cardiovascular Diseases
• +7 more

Ayşe Evrim Bayrak is a researcher affiliated with Istanbul University , focusing on genetics and molecular biology in cardiovascular and metabolic diseases. Her work examines gene expression, microRNA interactions, and genetic polymorphisms in conditions like coronary artery disease, preeclampsia, and metabolic syndrome. Research Interests: Her studies span Genetic variants in cardiovascular diseases MicroRNA profiling in pregnancy complications Lipid metabolism and diabetes Non-coding RNA in atherosclerosis Population-specific genetic risk factors Mutation analysis in cardiomyopathies Publications include 15+ peer-reviewed articles on topics such as gene-environment interactions, epigenetic mechanisms, and biomarker discovery in metabolic and cardiac disorders. Key keywords: Genetics , Cardiology , Endocrinology , Molecular Biology .

Jonathan KeatsView profile

Assistant Professor

• Multiple Myeloma
• Cancer Genomics
• Bioinformatics
• +4 more

Jonathan Keats, Ph.D., serves as an Assistant Professor at the Translational Genomics Research Institute (TGen) and holds the position of Scientific Director at the Judy and Bernard Briskin Center for Multiple Myeloma Research, City of Hope. Additionally, he directs TGen's Bioinformatics division and the Collaborative Sequencing Center, which provides advanced genomic sequencing services to researchers worldwide. His work bridges cutting-edge genomics with clinical applications in cancer. Dr. Keats' educational journey includes: Ph.D. from the University of Alberta (2005), where he investigated the clinical and biological consequences of the t(4;14)(p16;q32) translocation in multiple myeloma under Dr. Linda Pilarski. Postdoctoral training at the Mayo Clinic with Dr. Leif Bergsagel, focusing on identifying novel genetic events in multiple myeloma pathogenesis. His research is predominantly centered on multiple myeloma, with secondary interests in other hematological malignancies and immunodeficiency syndromes. Dr. Keats employs innovative genomic and bioinformatic methodologies to dissect the molecular underpinnings of these diseases, particularly targeting pathways like NF-kB that drive tumor development, progression, and therapeutic resistance. His work aims to translate genomic discoveries into immediate clinical impact, aligning with TGen's ethos of 'helping someone today.' Analysis of Dr. Keats' publication record reveals a trajectory from early investigations of specific cytogenetic abnormalities (e.g., t(4;14)) to comprehensive genomic analyses. His landmark studies include the identification of NF-kB pathway mutations and participation in the Multiple Myeloma Genomics Initiative. Recent work leverages advanced sequencing technologies to uncover structural variants and epigenetic modifications, demonstrating a consistent focus on integrating multi-omics data to refine disease subtyping and identify therapeutic vulnerabilities in myeloma. Dr. Keats leads the Collaborative Sequencing Center at TGen, which utilizes state-of-the-art short-read, long-read (Oxford PromethION), and intermediate-read sequencers to provide gapless human genome assemblies. His laboratory at the Briskin Center conducts research on multiple myeloma genomics and is the lead site for the CoMMpass study, which has identified distinct myeloma subtypes based on genomic profiles. This work directly informs precision medicine approaches for myeloma patients.

Stefanie GärtnerView profile

Researcher

• Inorganic Chemistry
• Structural Chemistry
• Solid-State Chemistry
• +4 more

Dr. Stefanie Gärtner serves as a Senior Academic Councillor at the Institute of Inorganic Chemistry within the Faculty of Chemistry and Pharmacy at the University of Regensburg. She leads her own research group (AG Dr. Gärtner) focusing on the boundary between solid and solution chemistry, particularly investigating alkali metal trielides and Zintl phases. Her research interests center on the structural chemistry of thallium and indium in formally negative oxidation states, with special emphasis on the role of alkali metals in structure formation. Dr. Gärtner employs multiple alkali metals simultaneously in synthesis to gain deeper insights into their contributions to structural development. Her work bridges the gap between classical intermetallic compounds and Zintl phases, particularly examining thallium substructures that sometimes follow the Zintl-Klemm concept and sometimes behave as classical intermetallics. Analysis of Dr. Gärtner's publication record reveals a consistent focus on alkali metal thallides and indides, with increasing complexity in ternary systems. Her recent work shows a trend toward examining mixed alkali metal systems and their effects on crystal structure formation, particularly investigating how different alkali metals influence the formation of specific structural motifs like [Tl4]8- tetrahedra and [Tl7]7- clusters. Her research combines experimental crystal structure determination with theoretical approaches to understand bonding situations in these complex intermetallic systems. Maria-Weber-Grant from Hans-Böckler-Stiftung Dr. Gärtner actively supervises doctoral and master's students, including Vanessa F. Schwinghammer who successfully defended her PhD in July 2025. She collaborates extensively with Prof. Dr. Nikolaus Korber's working group and has established research partnerships with institutions like the New Technologies Research Centre at the University of West Bohemia in Pilsen. Her group regularly participates in major conferences including the Hemdsärmelkolloquium, the German Crystallography Society meetings, and international solid-state chemistry conferences. Dr. Gärtner's research group (referred to as the 'Tripel-Arbeitskreis') maintains active collaborations with other research groups, particularly PD Dr. Constantin Hoch's group at LMU Munich. They regularly host and visit each other's laboratories, exchange samples, and share techniques. The group is involved in multiple international collaborations, including ongoing work with Prof. Dr. Ján Minár's group in Pilsen, focusing on theoretical methods like KKR and Wien2K calculations to complement their experimental structural studies.

Janani DurairajView profile

Research Fellow

• Structural Biology
• Computational Biology
• Machine Learning for Proteins
• +4 more

Dr. Janani Durairaj is a Research Fellow at the Biozentrum, University of Basel , where she focuses on integrating biochemical context into deep learning models to study protein structure and interaction variability. Her work bridges computational biology with drug discovery, emphasizing accurate prediction of protein behavior and therapeutic targeting. Key research areas: Structural Biology , Machine Learning , and Protein Engineering Current projects: Context-aware computational models of molecular interactions, protein-ligand co-folding, and structural analysis of viral proteins Her recent publications in Protein-Ligand Docking and AlphaFold Applications highlight her contributions to automated benchmarking and computational modeling. She collaborates with interdisciplinary teams at the Biozentrum, leveraging exascale computing for drug discovery.

• Political Economy
• Globalization
• Capitalism
• +4 more

Stefan Schmalz is a Heisenberg Research Group Leader at the Faculty of Political Science of the University of Erfurt , affiliated with the Max Weber Center for Advanced Cultural and Social Sciences . He serves as subproject leader for SFB 294 'Structural Transformation of Property' (Subproject JRT02: 'Struggle or Convergence of Capitalisms'). Research Interests His research focuses on political economy , globalization , and digital capitalism , analyzing: Power dynamics in global labor movements US-China geopolitical rivalry Structural transformations in capitalist systems Informal labor and extractivism Publications His recent work examines comparative digital capitalism models, vaccine distribution geopolitics, and transnational property conflicts. Key themes include: Postcolonial continuities in global value chains State-corporate interactions in China Labor unrest in global manufacturing hubs

Sarah WoodView profile

Senior Lecturer

• Middle English Literature
• Medieval Literature
• Religious Literature
• +5 more

Sarah Wood is a Senior Lecturer in the Department of English at the University of Warwick's Faculty of Arts. She holds a D.Phil. from the University of Oxford and has taught at Oxford and University College London prior to joining Warwick in 2014. Research focus on Middle English literature Specialist in William Langland's Piers Plowman Expertise in manuscript transmission and textual criticism Current projects include war in Middle English alliterative poetry Her 2025 publications analyze Sir Gawain textual puzzles and Piers Plowman quotation practices, following 2024's exploration of fire symbolism in Langland's poem. Earlier work examined manuscript variations in Piers Plowman versions and religious text adaptations. She received the 2017 Editor's Choice award for medieval scholarship and a 2016 Editors' Choice recognition. Previously served as Huntington Library Research Fellow (2013-14).