Find Academic Supervisors

• Crystallography
• Coordination Chemistry
• Structural Biology
• +7 more

Dr. Horst Puschmann is a Professor in Practice at Durham University, affiliated with the Department of Mathematical Sciences and the Department of Chemistry. He specializes in crystallography, computational crystallography, and structural refinement techniques, with particular expertise in X-ray structure determination, Hirshfeld atom refinement, and metal-organic frameworks. His research bridges theoretical and experimental approaches, focusing on advanced structural analysis of coordination polymers and biological interactions of metal complexes. His recent work explores the application of crystallographic software for precise structural modeling, including studies on ruthenium-based antitumor agents (2024), anomalous dispersion corrections (2022), and Cu Kβ radiation for crystalline sponges (2022). He has extensively contributed to the development of Olex2, a molecular graphics tool for small-molecule crystallography, enabling automated refinement and data visualization. Publications highlight his interdisciplinary collaborations in photocatalysis, magnetic properties, and bioactive coordination compounds. As a co-developer of Olex2, he has pioneered accessible crystallographic software through open-source frameworks and virtual teaching platforms. His projects integrate structural analysis with biological applications, such as DNA/protein binding, cytotoxicity, and luminescent properties of metal complexes. While no specific student names or scientific awards are mentioned in the provided data, his work demonstrates sustained innovation in crystallography education and computational methodologies.

Milena HasanView profile

Researcher

• Single-cell transcriptomics
• Immunology
• Infectious disease research
• +5 more

Milena Hasan is a Researcher at the Institut Pasteur in Paris, France, specializing in UTechS Single Cell Biomarkers unit. Her work focuses on cutting-edge single-cell transcriptomics , immune profiling , and cytometry data analysis across diverse conditions including viral infections, autoimmune diseases, and cancer immunotherapy. Lead investigator for multiple projects (TPAI, TTP, VARIANCE) involving single-cell technology training and advanced immune response analysis Key contributor to the Milieu Intérieur program studying immune system heterogeneity She actively develops tools for multi-omics data integration and leads courses on Single Cell Gene Expression and Beyond (2022, 2025) and Advanced Immunology (2025). Her research spans host-pathogen interactions , T cell dynamics , and inflammatory disease mechanisms through innovative technologies like spectral cytometry and single-cell proteomics.

Bahtiyar YilmazView profile

Professor

• Microbiota
• Infectious Diseases
• Immunology
• +4 more

Prof. Dr. Bahtiyar Yilmaz is a Group Leader at the Department of Biomedical Research (DBMR) at the University of Bern. His research focuses on the interplay between the gut microbiota, immunity, and disease, spanning infectious diseases, neurodegenerative disorders, and inflammatory bowel disease (IBD). University: University of Bern Department: Department of Biomedical Research (DBMR) Research Interests: Yilmaz investigates how gut microbiota influences health and disease. His work explores microbial translocation , gut-liver and gut-brain axes , antimicrobial resistance in wildlife , and microbiota-driven immune responses in conditions like Alzheimer’s, diabetes, and IBD. Recent Publications (all in 2025) highlight his multidisciplinary approach, including studies on: Microbial drivers of surgical site infections Chromatin accessibility in microglia linked to Alzheimer’s Antimicrobial resistance in livestock and wildlife Small intestinal microbiota dynamics under dietary changes Gut microbiota’s role in valvular heart disease Evolutionary adaptation in gut microbes His work bridges microbiology, immunology, and computational modeling to address clinical challenges in infectious and chronic diseases.

• Synthetic Biology
• Biophysics
• Computational Biology
• +7 more

Rahmi Lale is an Adjunct Associate Professor and Senior Researcher at the Department of Biotechnology and Food Science, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). His research spans synthetic biology, biophysics, and computational biology, focusing on transcriptional and translational control in microorganisms. He employs advanced methods like microfluidics, single-cell arrays, and high-throughput screening across diverse organisms including Thermus thermophilus , Vibrio natriegens , and Pseudomonas putida . He can be reached at rahmi.lale@ntnu.no. Research Interests: Biophysics, Computational Biology, Synthetic Biology, Metagenomics, Microfluidics, Bacterial Genetics Key Projects: Horizon Europe (MetaExplore, Sustainable Exploration), RCN (SafePhaeO3), U.S. NSF (CIRCLE Center), Innovation Fund Denmark (MuscleFuel), EuroHPC (AI-based DNA Design) Scientific Awards: Kavli Prize in Nanoscience (2018), iGEM Gold Medal (2014) Teaching: Advanced Biotechnology (BT3220), Bioinformatics and Statistics (TBT4507), Bioinformatics and Biopolymeric Materials (TBT4508) Lale's recent publications focus on synthetic gene regulation, AI-driven DNA design, and extremophile bioproduction. His lab website ( Lale Lab ) details ongoing work in interdisciplinary data-driven approaches.

Sandra Maria BloisView profile

Professor

• Immunology
• Reproductive Medicine
• Glycoimmunology
• +3 more

Sandra Maria Blois is a University Professor at the University Medical Center Hamburg-Eppendorf (UKE), where she holds a position in the Faculty of Medicine within the Center for Obstetrics and Pediatrics and the Department of Obstetrics and Fetal Medicine. Her research focuses on the intersection of immunology and reproductive medicine, with particular expertise in glycoimmunology and reproduction. Dr. Blois's research primarily investigates the role of galectins and glycosylation in pregnancy, placental development, and pregnancy complications such as preeclampsia and gestational diabetes. Her work has significantly advanced our understanding of how glycan-binding proteins regulate immune tolerance at the maternal-fetal interface. She has made important contributions to understanding how galectin-1 shapes the placental niche and how glycosylation patterns influence pregnancy outcomes. Her research integrates molecular immunology, glycobiology, and reproductive medicine to elucidate mechanisms underlying healthy and pathological pregnancies. Analysis of Dr. Blois's recent publications reveals a consistent focus on galectin biology in reproductive contexts, with particular attention to galectin-1, -3, and -9. Her work spans basic molecular mechanisms, animal models, and clinical applications, demonstrating translational research from bench to bedside. Recent studies have explored connections between glycoimmunology and pregnancy complications including preeclampsia, fetal growth restriction, and responses to viral infections during pregnancy. Her research on the gut-placenta axis has revealed novel pathways linking maternal metabolism to placental function. Dr. Blois leads a research group focused on Glycoimmunology and Reproduction at UKE, where she maintains an active laboratory investigating the molecular mechanisms of maternal-fetal immune tolerance. Her team employs a multidisciplinary approach combining immunological, biochemical, and advanced imaging techniques to study pregnancy-related processes. She collaborates extensively with international researchers across multiple disciplines including virology, neonatology, and cardiovascular medicine.

• Structural Bioinformatics
• Data Visualization
• Protein Structure
• +4 more

David Hoksza is an Associate Professor at the Department of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague. His work bridges bioinformatics and computational biology through innovative algorithm and tool development. University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software Engineering His research focuses on structural bioinformatics and data visualization, particularly in protein and RNA structure analysis. He has also contributed to cheminformatics (ligand-based virtual screening), computational genomics (MinION data analysis), and systems biology (molecular network visualization). David has led major projects including the P2Rank framework for ligand-binding site prediction, R2DT for RNA secondary structure visualization, and the Genomics 2 Proteins portal for linking genetic data to protein structures. His publications span high-impact journals like Nucleic Acids Research , Bioinformatics , and Nature Methods . Recent articles highlight his expertise in RNA structure prediction, protein-ligand interactions, and neurodevelopmental disorder analysis. His work emphasizes template-based modeling, machine learning, and web-based tool development. Scientific Awards David actively teaches courses on data visualization and bioinformatics algorithms, with a focus on practical implementation using technologies like D3.js, Tableau, and Python. He contributes to open-source software and maintains a GitHub repository for his tools.

• Nanostructured Polymers
• Block Copolymers
• Polymer Membranes
• +3 more

Prof. Dr. Volker Abetz is a full professor (W3) of Physical Chemistry at the University of Hamburg since January 2013 and concurrently serves as Director of the Institute for Polymer Research at the Helmholtz-Zentrum Geesthacht. His career has included professorships at the University of Kiel (2004–2012) and the University of Potsdam, along with visiting roles at Stanford, UC Louvain, and Ben-Gurion University. Education: Habilitation, University of Bayreuth (2000) – “Complex Structures based on ABC Triblock Copolymers” PhD, Albert-Ludwigs-University Freiburg (1990) – “Spectroscopic Polarimetry on Multicomponent Polymer Systems” Diplom, Albert-Ludwigs-University Freiburg (1987) – “FTIR-Dichroism Spectroscopy on Polymer Multicomponent Systems” Research Interests: His group focuses on nanostructured polymers , stimuli-responsive block copolymers , isoporous membranes , vitrimer chemistry , hierarchical polymer composites , and anisotropic gels . A hallmark of his work is translating fundamental self-assembly principles into scalable membrane technologies for water treatment, gas separation, and bioprocessing. Publication Trends: Across >480 peer-reviewed papers, recent output centers on advanced block-copolymer membranes (isoporous, antifouling, ion-selective), reprocessable vitrimer nanocomposites (lignin-based, Au-doped, magnetic), and in-situ diagnostics (synchrotron SAXS, atomic-layer deposition). These studies couple rigorous polymer synthesis with sophisticated characterization and device-level validation. Scientific Awards & Honors: Cover-featured articles in Advanced Materials , ACS Macro Letters , Macromolecular Rapid Communications Keynote & plenary invitations at POLYCHAR, ACS, IUPAC MACRO conferences Patents on isoporous membrane manufacturing (WO, EP, DE filings) Research Funding & Collaborations: His teams secure funding from the German Research Foundation (DFG), Helmholtz Association, EU Horizon programs, and industry partners. The group operates state-of-the-art laboratories at both the University of Hamburg and Helmholtz-Zentrum Geesthacht, hosting a vibrant international cohort of PhD students and postdocs. Laboratories & Facilities: AG Abetz – University of Hamburg Institute of Physical Chemistry Institute for Polymer Research – Helmholtz-Zentrum Geesthacht Access to PETRA-III (DESY), BER II (HZB) & ILL (Grenoble) neutron/synchrotron beamlines

• Clinical Informatics
• Artificial Intelligence in Healthcare
• Machine Learning Applications
• +5 more

Dr. Thomas Durant is an Associate Professor of Laboratory Medicine at Yale School of Medicine with a secondary appointment in Biomedical Informatics & Data Science. He serves as Medical Director of Chemical Pathology and Laboratory Informatics at Yale-New Haven Hospital and Associate Director for the ACGME Chemical Pathology Fellowship. His dual expertise bridges clinical laboratory practice with cutting-edge informatics research. Dr. Durant's educational background includes: MD from University of Connecticut, School of Medicine (2015) MA in Physical Therapy from Quinnipiac University BA in Health Sciences from Quinnipiac University (2008) Winchester Clinical Microbiology Fellowship at Yale-New Haven Hospital (2019) Residency and Chief Residency at Yale-New Haven Hospital (2018) Board certified in Clinical Pathology (2018), Medical Microbiology (2019), and Clinical Informatics (2022), Dr. Durant's research focuses on practical applications of data science in laboratory medicine. His work centers on clinical informatics, quality care initiatives, and artificial intelligence applications including machine learning for automated image classification, quantum computing in healthcare, and laboratory data analytics. He investigates stream processing of interface data for sample identification and develops innovative data management technologies to improve laboratory operations and patient care. Analysis of Dr. Durant's publication record reveals a strong progression from traditional laboratory medicine into advanced computational methods. His recent work demonstrates expertise in ensemble learning for detecting IV fluid contamination, quantum computing applications, AI model verification protocols, and biomarker analysis for acute kidney injury prediction. The research spans multiple disciplines including clinical chemistry, informatics, and data science, addressing critical challenges in diagnostic medicine. Dr. Durant maintains extensive collaborations with Yale researchers including Wade Schulz (14 publications), Joe El-Khoury (10 publications), Harlan Krumholz (5 publications), and Richard Torres (4 publications). These partnerships support research on laboratory informatics, AI applications, and quality improvement initiatives that enhance diagnostic accuracy and healthcare delivery. As Medical Director of Laboratory IT Services, Dr. Durant oversees the technological infrastructure supporting laboratory operations at Yale-New Haven Hospital. His leadership in the Chemical Pathology Fellowship program trains future specialists, while his research continues to push the boundaries of how data science transforms diagnostic medicine.

Nicolas WolffView profile

Researcher

• Structural Biology
• Molecular Biology
• Virology
• +3 more

Nicolas Wolff is a researcher at the Pasteur Institute , focusing on structural and molecular biology with a strong emphasis on host-pathogen interactions. He leads projects such as Cell-Free System Development and Structural and functional impacts of ADGRV1 variants , often collaborating across disciplines like Neuroscience and Virology . His research explores PDZ domain interactions in diseases like Usher syndrome (hearing and vision loss) and viral infections (SARS-CoV-2, Rabies, West Nile). Notably, he investigates how viral proteins hijack host PDZ-containing proteins to disrupt cellular functions, as seen in his 2025 study on SARS-CoV-2 envelope protein mechanisms. Key publications (2021–2025) cover structural analyses of viral proteins, functional studies of PDZ-PBM binding, and phylogenetic investigations of protein domains. Teaching includes courses like Protein Structure and Function and Biochemistry of Proteins , reflecting his expertise in molecular mechanisms.

Thomas J. VelenosiView profile

Assistant Professor

• Pharmacometabolomics
• Pharmacology
• Metabolomics
• +7 more

Thomas J. Velenosi is an Assistant Professor in the Faculty of Pharmaceutical Sciences at the University of British Columbia. He received his PhD in pharmacology and toxicology from Western University and completed his postdoctoral fellowship at the National Cancer Institute (National Institutes of Health). His research focuses on the intersection of pharmacology and metabolomics, particularly in cancer therapy and biomarker discovery. Institution: University of British Columbia Faculty: Faculty of Pharmaceutical Sciences Academic Rank: Assistant Professor Dr. Velenosi's research interests center around pharmacometabolomics, metabolomics, lipidomics, mass spectrometry, cancer biology, stable isotope tracing, and bioinformatics. His lab applies advanced analytical techniques to study drug treatment response and toxicity during cancer therapy, with a particular focus on identifying and characterizing metabolic biomarkers. His approach combines highly translational cancer models with computational methods to improve biomarker identification and clinical validation. The Velenosi lab's research focuses on two main areas: 1) developing computational methods for improving mass spectrometry-based metabolomics, lipidomics and stable isotope tracing, and 2) applying these techniques to cutting-edge cancer models to identify and characterize metabolic biomarkers and therapeutic targets. His work aims to bridge the gap between biomarker identification and clinical validation to facilitate personalized therapy for cancer patients. His research has resulted in numerous publications in high-impact journals, with a focus on cancer metabolism, kidney function biomarkers, and metabolic reprogramming. The most recent publications (2022-2025) show a strong trend toward precision medicine applications, particularly in triple-negative breast cancer, with emphasis on polyamine metabolism and biomarker discovery for treatment response prediction. Postdoctoral Fellowship, Canadian Institutes of Health Research, 2018 Canada Graduate Scholarship - Doctoral (CGS-D) Award, Natural Sciences and Engineering Research Council of Canada, 2012 Dr. Velenosi actively supervises graduate students in the Pharmaceutical Sciences and Bioinformatics programs, training them in state-of-the-art mass spectrometry, molecular biology, tissue culture, and animal cancer models. His lab utilizes highly controlled patient-derived xenograft models to identify and characterize metabolic biomarkers of drug effectiveness. The Velenosi lab is currently accepting applications for MSc and PhD students interested in studying metabolic biomarkers of drug response in cancer. The lab maintains a collaborative environment with regular social events, as evidenced by their summer pizza outings and holiday parties, fostering a strong team dynamic focused on advancing precision medicine for cancer treatment through metabolomics research.

Nada LallousView profile

Assistant Professor

• Cancer Biology
• Biochemistry
• Biophysics
• +7 more

Dr. Nada Lallous serves as an Assistant Professor in the Department of Urologic Sciences at the University of British Columbia's Faculty of Medicine and Senior Research Scientist at the Vancouver Prostate Centre. Her research focuses on cancer drug development, particularly targeting molecular mechanisms of prostate cancer progression, metastasis, and therapeutic resistance through biochemical and biophysical approaches. Her educational background includes a M.Sc and Ph.D in Structural Biochemistry and Biophysics from the University of Strasbourg and the Institute of Genetics and Molecular and Cellular Biology (IGBMC) in France, followed by postdoctoral training at the Spanish National Cancer Research Centre (CNIO). She joined the Vancouver Prostate Centre in 2012 and was appointed Research Scientist in 2017. Dr. Lallous' research expertise spans cancer biology, protein biochemistry, drug design, and structural biology. She has extensive experience in protein characterization, X-ray crystallography (contributing to 20 Protein Data Bank structures), and preclinical validation of novel inhibitors. Key interests include androgen receptor signaling, transcription factors, biomolecular condensates, and overcoming therapeutic resistance in prostate and breast cancers through targeting molecular drivers like Lin28 and Myc. Analysis of her 2023-2025 publications reveals a dominant focus on androgen receptor (AR) biology in prostate cancer, with significant emphasis on AR variants (AR-V7), phase separation phenomena, and development of novel inhibitors targeting AR domains, Lin28-let-7 interactions, and Myc-Max dimerization. Her work integrates computational drug design, structural biology, and functional validation to address therapeutic resistance. Dr. Lallous has secured competitive funding including an NIH-SPORE grant from the National Cancer Institute to study androgen receptor variants in circulating tumor DNA. She mentors graduate students in UBC's Experimental Medicine program, including PhD candidate Louise Ramos working on bifunctional PARP-HDAC inhibitors. She actively collaborates with pharmaceutical companies on drug development projects. As manager of the protein bioengineering and biophysics group at the Vancouver Prostate Centre, Dr. Lallous is establishing a core facility to support preclinical drug validation and structural studies for cancer researchers, enabling high-throughput inhibitor screening and biophysical characterization.

• Structural Biology
• Parasitology
• Cysteine Peptidases
• +3 more

Karen McLuskey is a Research Associate in the Department of Molecular Biosciences at the University of Glasgow, College of Medical, Veterinary and Life Sciences. Her work focuses on structural biology and enzymology within parasitic organisms. 2010-2014: Wellcome Trust Grant for structural and activity studies of trypanosomatid metacaspases Research Interests: McLuskey's research spans structural biology, parasitology, and cysteine peptidase studies, particularly in trypanosomatid pathogens like Leishmania and Trypanosoma. Her publications demonstrate expertise in protein crystallography, enzymatic activity analysis, and membrane protein purification techniques. Publication Trends: Recent work (2024) examines TORC1 as a nutrient-regulated regulator in Leishmania, while earlier studies focus on metacaspase structures, cysteine peptidases, and high-throughput methodologies for protein analysis. Themes include parasite biology, structural enzymology, and microbiome interactions. Scientific Contributions: Crystal structure determination of key parasitic enzymes Development of high-throughput protein purification protocols Metabolite activity ranking algorithms Labs & Collaborations: McLuskey collaborates closely with Jeremy Mottram's research group, focusing on parasitic disease mechanisms and structural characterization of virulence factors.

Martin RennieView profile

Researcher

• Structural Biology
• Biochemistry
• Biophysics
• +4 more

Dr. Martin Rennie is a Researcher at the University of Glasgow , affiliated with the School of Molecular Biosciences . He utilizes cryo-electron microscopy, biophysics, and biochemistry to study protein molecular functions, particularly in DNA repair and ubiquitination pathways . PhD: University of Auckland, New Zealand (Lab of Dr. Richard Kingston) Postdoc: University of Galway, Ireland (Lab of Prof. Peter Crowley) Current Postdoc: University of Glasgow (Lab of Prof. Helen Walden) His research explores structural biology and the biochemical mechanisms of protein-protein interactions , focusing on FANCI-FANCD2 complexes and USP1 inhibition . Publications highlight advancements in understanding ubiquitination machinery regulation and the application of AlphaFold in protein structure prediction. Key publications include structural analyses of the USP1-UAF1 complex , mechanistic insights into FANCD2 ubiquitination , and studies on allosteric regulation in DNA repair pathways. His work intersects with clinical biochemistry and molecular biology research. Scientific Awards: Wellcome Trust Grant (2021-2022) for "Structural basis of Hsp90-CHIP association" Dr. Rennie collaborates with researchers like Prof. Helen Walden, Connor Arkinson, and Viduth K. Chaugule. His recent studies emphasize the application of structural biology in elucidating protein function in DNA repair pathways.

Amirali AghazadehView profile

Assistant Professor

• Machine Learning
• Bioinformatics
• Bioengineering
• +12 more

Amirali Aghazadeh is an Assistant Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He serves as program faculty for the Machine Learning, Bioinformatics, and Bioengineering Ph.D. programs and has affiliations with the Institute for Data Engineering and Science (IDEAS) and Institute for Bioengineering and Biosciences. Dr. Aghazadeh's research lies at the intersection of machine learning and AI, information and signal processing, and biological design and engineering. His work focuses on developing tools and algorithms that enable machines to learn, predict, scale, adapt, and be explained to solve challenging biological science and engineering problems, including: ML/AI-guided protein design & optimization Variant effect prediction Accelerated/guided sequence generation Origins of life and biosignature discovery AI for protein imaging His recent publications demonstrate a strong focus on applying machine learning and AI to biological problems, particularly in protein design and analysis, as well as developing novel algorithms for data processing. His work spans computational biology, astrobiology, and information theory, showing interdisciplinary breadth while maintaining technical depth. Dr. Aghazadeh's scientific achievements include winning the IDEaS GenAI for Science competition in July 2025, with support from Microsoft Azure to develop next-generation agentic AI tools for scientific discovery. His work on 'AI Scientists' for hypothesis generation about Origins of Life was featured in Nature. He advises several graduate students including Thomas Alan Walton, Darin Tsui, Lauren Fogel, Daniel Saeedi, Denise Buckner, and José Aponte, who have contributed to his research in protein design, AI for scientific discovery, and algorithm development. His lab appears to focus on the intersection of AI and biological sciences, with connections to NASA Goddard Space Flight Center as evidenced by collaborations on astrobiology research.

Jonathan EssexView profile

Professor

• Molecular simulations
• Computational chemistry
• Computer-aided drug discovery
• +5 more

Professor Jonathan Essex holds the Chair in Computational Systems Chemistry at the University of Southampton, where he leads innovative research at the intersection of computational methods and biological systems. His work focuses on advancing molecular simulation techniques to enable more accurate predictions in drug discovery and medical diagnostics. Develops novel computational methodologies Applies simulations to antibody design and drug delivery Collaborates with academic and industrial partners globally His research spans fundamental challenges in simulation accuracy while addressing practical pharmaceutical needs. Key collaborations include industry partners like Johnson & Johnson and academic institutions through EPSRC and BBSRC grants. Scientific recognitions include: 2002 Marlow Medal from Royal Society of Chemistry Royal Society Wolfson Research Merit Award (2013) As an active PhD supervisor, he mentors students in computational chemistry and systems biology projects, maintaining editorial roles at Journal of Computer Aided Molecular Design and BMC Chemistry .