Find Academic Supervisors

Jennifer A. SmithView profile

Associate Professor

• Genetic Epidemiology
• Epigenomics
• Aging
• +4 more

Jennifer A. Smith, PhD, MPH is an Associate Professor of Epidemiology and Research Associate Professor of Survey Research at the University of Michigan School of Public Health . She also serves as Director of the Certificate in Public Health Genetics and is Assistant Director of the Cohort Development working group for U-M Precision Health and the Michigan Genomics Initiative. Education: PhD, Epidemiology, University of Michigan (2011) MA, Statistics, University of Michigan (2009) MPH, Health Management and Policy, University of Michigan (2005) BS, Biological Sciences, Cornell University (2001) Research Interests: Dr. Smith is a genetic epidemiologist whose work lies at the intersection of genomics, epigenomics, and social epidemiology . She investigates how genetic, epigenetic, and transcriptomic variation influence age-related chronic diseases such as cardiovascular disease, hypertension, dementia, and cognitive decline. A major focus is understanding how social, psychosocial, and neighborhood determinants interact with genetic risk to shape socioeconomic and racial/ethnic health disparities . Research Projects: Her work leverages large, multi-ethnic cohorts including the Health and Retirement Study (HRS), GENOA, SWAN, MESA, and LASI. She is a core faculty member of the Center for Social Epidemiology and Population Health (CSEPH) , and affiliated with MiCDA, the Center for Midlife Science, and the PNG Program . She also collaborates with leading consortia such as CHARGE and TOPMed. Selected Trends in Publications: Her recent work (2022–2025) emphasizes epigenetic mediation of social determinants on cardiovascular and cognitive health, polygenic risk scores across diverse ancestries , and multi-omics integration in aging and disease. These studies consistently highlight how social environments and genetic architecture jointly influence health outcomes across populations. Contact: Email: smjenn@umich.edu Office: 734-615-9455 Address: 2631 SPH I, 1415 Washington Heights, Ann Arbor, MI 48109

Waldemar KolanusView profile

Professor

• Molecular Immunology
• Cell Signaling
• Signal Transduction Pathways
• +4 more

Prof. Waldemar Kolanus leads the Molecular Immunology and Cell Biology department at the University of Bonn's Life & Medical Sciences Institute (LIMES) . His research bridges immunoregulation , stem cell dynamics , and metabolic stress responses in immune cells. Unit 2 member at LIMES Principal investigator in SFB 704 and ImmunoSensation Cluster Leads a multidisciplinary lab with postdocs, PhD students, and technical staff His work focuses on intracellular signaling pathways connecting immune activation to tissue homeostasis, particularly through: Cytohesin proteins in integrin-mediated adhesion and migration TRIM71 in stem cell regulation and congenital hydrocephalus High-salt environments affecting macrophage function Publication trends show expertise in immune cell migration , genetic models , and chemical inhibition , with frequent use of mice and zebrafish for in vivo studies. Key articles explore: TRIM71's dual role in auditory development and germ cell maintenance Cytohesin family's Golgi regulation and insulin signaling Ruxolitinib's off-target migration inhibition of dendritic cells Contact details: Address: LIMES Institute, Carl-Troll-Straße 31, Bonn Email: kolanus.sekretariat@uni-bonn.de Phone: +49 228 73-62788

• Proteasome Research
• Structural Biology
• Enzyme Mechanisms
• +2 more

Michael Groll serves as Professor and Chair of Biochemistry at the Technical University of Munich (TUM), where he leads structural biology and enzymology research with a focus on proteasome mechanisms and inhibitor development. His laboratory, located at the Ernst-Otto-Fischer-Str. 8 campus in Garching, maintains active collaborations in drug discovery for cancer and infectious diseases. His primary research domains include proteasome inhibition, enzyme catalysis, and natural product biosynthesis, employing X-ray crystallography, biochemical assays, and bioengineering to dissect molecular mechanisms. Recent work emphasizes AI-guided enzyme optimization, bacterial stress response targeting, and structural characterization of halogenation enzymes, reflecting interdisciplinary approaches bridging chemistry and biology. Analysis of his 2023-2025 publications reveals consistent innovation in proteasome-targeted therapeutics, with 15 high-impact papers featuring structural insights into enzyme-inhibitor complexes and biosynthetic pathways. Key trends include engineering megasynthetases for immunoproteasome inhibitors, optical control of protein degradation, and elucidating metal-dependent mechanisms in antibiotic biosynthesis. No scientific awards were documented in the provided source material. While specific grant details and student mentorship records were not disclosed, his extensive publication record indicates leadership in collaborative research projects involving structural biology and chemical biology methodologies. The Chair of Biochemistry under Prof. Groll operates as a hub for structural enzymology, housing facilities for protein crystallography, enzyme kinetics, and natural product characterization. His team actively contributes to TUM's research ecosystem through partnerships with pharmaceutical groups and international structural biology consortia.

Andrew D. WhiteView profile

Associate Professor

• Large language models
• Deep learning in chemistry
• Molecular dynamics
• +5 more

Andrew D. White is an Associate Professor of Chemical Engineering at the Hajim School of Engineering & Applied Sciences, University of Rochester. He holds a PhD from the University of Washington (2013). His research focuses on automating scientific discovery through AI, particularly leveraging large language models (LLMs) and deep learning techniques in chemistry. His lab develops agents that integrate literature analysis, hypothesis generation, and experimental design to advance fields like molecular dynamics and drug discovery. Education: PhD in Chemical Engineering, University of Washington, 2013 BS/MS (not explicitly stated in text, inferred from career timeline) Research Interests: Large language models for scientific automation Deep learning applications in chemistry and materials science Molecular dynamics simulations Scientific agents and autonomous systems Publications: His work includes groundbreaking studies on closed-loop AI systems for chemistry, federated learning in molecular property prediction, and multi-agent systems for drug discovery. Recent highlights include the Robin system and ChemCrow tools. Awards: Recipient of the NSF Career Award (2018), NIH Outstanding Investigator Award (2020), and the Curtis Teaching Award (2019). He also advises biotech companies and serves on the National Academy of Sciences' Chemical Sciences Roundtable. Grants & Funding: Supported by DOE, NSF (multiple grants including CBET-1751471), NIH (R35GM137966), and LLNL projects. Collaborates with institutions like Argonne National Lab and Qubit Pharmaceuticals. Labs & Teams: Leads the White Lab at Rochester and co-founded FutureHouse, a nonprofit advancing AI-driven scientific discovery. Supervises a multidisciplinary team of PhD students and postdocs in computational chemistry, AI, and biophysics.

LI ZhiView profile

Associate Professor

• Biocatalysis
• Green Chemistry
• Sustainable Manufacturing
• +4 more

Associate Professor LI Zhi leads the Chemical & Biomolecular Engineering Department at the National University of Singapore (NUS). His research focuses on advanced biocatalysis for sustainable manufacturing, bio-based fuels, and functional materials. He holds a PhD in Organic Chemistry from the University of Vienna (1991), an MEng from Chinese Academy of Forestry (1985), and a BSc from Nanjing University (1982). Institutional Affiliations: NUS Faculty of Engineering, NUS ChBE Department. His lab actively collaborates with global institutions like A*STAR and the Singapore Catalysis Society. Research highlights include enzyme engineering for cascade reactions, CO₂ utilization, and biomaterial synthesis. Research Interests: Discovery of novel biocatalysts, engineering of biocatalytic systems, renewable feedstock utilization, and smart material development. Recent work emphasizes cascade biotransformations for chiral chemicals and sustainable processes. Lab Activities: Hosted international conferences (e.g., Southeast Asia Catalysis Conference 2019), collaborations with industry leaders (GSK, Pfizer), and visits from distinguished researchers like Prof. Zhao Huimin. Student milestones include PhD completions (e.g., Wang Wen, Joel Choo Ping Syong) and postdoc contributions across institutions. Grants & Labs: Active in grants related to biocatalysis and green chemistry. Lab members include researchers like Dr. Nicholas Goh and PhD students Li Li. Infrastructure includes advanced facilities for biotransformations and material synthesis.

Ron DrorView profile

Professor

• Computational Biology
• Machine Learning
• Molecular Dynamics Simulation
• +6 more

Ron Dror is the Cheriton Family Professor of Computer Science at the Stanford Artificial Intelligence Lab , with courtesy appointments in Structural Biology and Molecular & Cellular Physiology . He also holds affiliations with Bio-X, the Institute for Human-Centered Artificial Intelligence (HAI), the Institute for Computational and Mathematical Engineering (ICME), Sarafan ChEM-H, and the Wu Tsai Neurosciences Institute. Education: PhD in Electrical Engineering and Computer Science, MIT MPhil in Biological Sciences, University of Cambridge (Churchill Scholar) BS in Mathematics and Electrical & Computer Engineering, Rice University (summa cum laude) Ron leads a multidisciplinary research group that combines molecular simulation and machine learning to study biomolecular structure, dynamics, and function. His work focuses on developing computational methods to accelerate drug discovery by predicting molecular interactions and designing more effective therapeutics. Current projects include the PENSA software library for analyzing biomolecular ensembles and FRAME framework for structure-based ligand design. His research has produced groundbreaking work on G-protein-coupled receptors (GPCRs) , RNA structure prediction , and mitochondrial transport mechanisms . Key publications highlight applications of geometric deep learning and molecular dynamics simulations in structural biology. Scientific Awards: Cheriton Family Professorship (2023) Two Gordon Bell Prizes (2014, 2009) Best Paper Awards at NeurIPS (2021), IPDPS (2013), SC11 (2011), SC09 (2009), SC06 (2006) Science Magazine Top 10 Breakthrough (2010) Fulbright Scholarship , NSF Fellowship , DoD Fellowship , Whitaker Foundation Fellowship Ron has advised numerous doctoral and master’s students including EJ Fine , Masha Karelina , and Briana Sobecks . His lab collaborates with experimentalists across academia and industry, applying computational methods to diverse biomedical problems such as RNA structure prediction , GPCR signaling , and mitochondrial metabolism .

Vincent FortuinView profile

Assistant Professor

• Bayesian Deep Learning
• Uncertainty Quantification
• Probabilistic Inference
• +5 more

Dr. Vincent Fortuin is a tenure-track Assistant Professor at the Technical University of Munich (TUM) and a research group leader at Helmholtz AI in Munich. He leads the Efficient Learning and Probabilistic Inference for Science (ELPIS) group and holds multiple prestigious fellowships including the Branco Weiss Fellowship. His academic affiliations include the TUM School of Computation, Information and Technology, the Konrad Zuse School of Excellence in Reliable AI, and the Munich Center for Machine Learning. Dr. Fortuin earned his BSc in Molecular Life Sciences from the University of Hamburg (2012-2015), followed by an MSc in Computational Biology and Bioinformatics from ETH Zürich (2015-2017), where he received the ETH Excellence Scholarship and the Willi Studer Prize. He completed his PhD in Machine Learning at ETH Zürich (2017-2021) under the supervision of Gunnar Rätsch and Andreas Krause, supported by a Swiss Data Science Center PhD Fellowship. Prior to joining TUM, he was a Research Fellow at St. John's College, University of Cambridge (2022-2023). His research focuses on the intersection of Bayesian statistics and deep learning, specifically developing methods for more robust, data-efficient AI systems with reliable uncertainty estimates. His work addresses critical limitations in standard deep learning approaches, particularly their tendency to be overconfident in predictions and require large datasets for training. He investigates better priors and more efficient inference techniques for Bayesian deep learning, deep generative modeling, meta-learning, and PAC-Bayesian theory, with applications in scientific and biomedical domains. Dr. Fortuin's recent publications demonstrate a consistent focus on improving uncertainty quantification in deep learning systems, with increasing emphasis on practical applications in scientific contexts. His work spans from theoretical foundations of Bayesian deep learning to practical implementations in protein design, materials science, and medical applications. A notable trend is his exploration of how to make Bayesian methods more scalable and applicable to modern large-scale AI systems while maintaining theoretical guarantees. Branco Weiss Fellowship (2023) St John's College Research Fellowship (2022) Swiss National Science Foundation Postdoc.Mobility Fellowship (2022) Swiss Data Science Center PhD Fellowship (2018) ETH Excellence Scholarship (2015) Willi Studer Award (2018) Dr. Fortuin actively supervises PhD and Master's students through his ELPIS research group at Helmholtz AI. He serves as a regular reviewer and area chair for major machine learning conferences and is an action editor for TMLR. He co-organizes the Symposium on Advances in Approximate Bayesian Inference (AABI) and the ICBINB initiative, demonstrating his commitment to advancing the field through community building. His research group receives funding from multiple sources including Helmholtz AI, the Branco Weiss Fellowship, and collaborations with international institutions. Dr. Fortuin leads the Efficient Learning and Probabilistic Inference for Science (ELPIS) group at Helmholtz AI, which focuses on fundamental machine learning research motivated by real-world scientific problems. The group collaborates extensively with researchers across Helmholtz centers and international institutions, particularly in biomedical applications where reliable uncertainty estimates are crucial.

• Cell Biology
• Developmental Biology
• Neuroscience
• +3 more

Callista Yee will join the University of British Columbia as an Assistant Professor in the Department of Zoology (Faculty of Science) starting September 2025. Her research focuses on decoding molecular mechanisms governing nervous system development and synaptogenesis using Caenorhabditis elegans as a model organism. Research Focus Dr. Yee's work investigates: Transcriptional programs activated by neuronal activity Role of Groucho co-repressors in cellular switches Proteostasis and stress resilience in neurons Molecular regulation of synapse formation Publication Trends Her recent articles (2017–2025) span developmental biology, neuroscience, and molecular genetics, with a consistent emphasis on C. elegans as a model system. Key themes include transcriptional regulation of cell invasion, protein degradation tools, and aging-related pathways.

V.M. BalasubramaniamView profile

Professor

• Food Engineering
• Nonthermal Food Processing
• High Pressure Processing
• +4 more

Dr. V.M. (Bala) Balasubramaniam is a Professor in the Department of Food Science and Technology at The Ohio State University. He holds editorial roles in food engineering journals and is a Fellow of IFT and IUFoST. His research focuses on clean food manufacturing technologies, particularly high-pressure and nonthermal methods, emphasizing microbial inactivation and nutrient preservation. He teaches unit operations in food engineering and contributes to industry via short courses and pilot plant demonstrations. Education: B.S. (Tamil Nadu Agricultural University), M.S. (Asian Institute of Technology), Ph.D. (Ohio State University). Research Interests: Thermal/nonthermal processing, food safety/quality modeling, and innovative applications of high-pressure technologies. Recent work includes ultra-shear technology development and superheated steam sanitation. Over 100 scientific papers, 20 book chapters, and co-edited books on high-pressure processing. Awards include the 2021 IFT Research & Development Award and 2017 Calvert L. Willey Award. Advising: Supervises graduate students like Liz Astorga Oquendo and Shruthy Seshadrinathan. Industrial outreach includes a USDA consortium for ultra-shear commercialization. Labs/teams focus on pilot-scale equipment testing and microbial efficacy studies.

Martin BurkeView profile

Professor

• Organic Chemistry
• Small-Molecule Synthesis
• Molecular Prosthetics
• +7 more

Martin Burke is the May and Ving Lee Professor for Chemical Innovation and Professor of Chemistry at the University of Illinois Urbana-Champaign , with additional appointments in Biochemistry, Biomedical & Translational Sciences, and multiple campus institutes including the Beckman Institute and the Carl R. Woese Institute for Genomic Biology. Education B.S. Johns Hopkins University , 1998 Ph.D. Harvard University , 2003 M.D. Harvard Medical School , 2003 Research Interests Burke’s program centers on molecular prosthetics : the design, synthesis and application of small molecules that replicate or replace missing or dysfunctional proteins. His group pioneered iterative cross-coupling (ICC) using MIDA-protected haloboronic acids to automate the construction of complex natural products and function-oriented small molecules. Current projects target ion-channel replacement in cystic fibrosis, iron-transport restoration in anemia, and non-toxic antifungals that overcome drug resistance. Scientific Awards & Honors National Academy of Medicine (2021) AAAS Fellow (2021) ASCI Member (2021) iCON Award (2019) Mukaiyama Award, Japan (2019) ACS Nobel Laureate Award for Graduate Education (2017) Thieme-IUPAC Prize in Synthetic Organic Chemistry (2014) Elias J. Corey Award (2013) Arthur C. Cope Scholar Award (2011) Research Output & Impact Burke has authored >120 peer-reviewed articles, >30 patents, and his work has been cited >20,000 times. High-impact publications in Nature , Science , and Angewandte Chemie have advanced automated synthesis, molecular prosthetics, and cystic fibrosis therapeutics. Laboratory & Training The Burke Laboratories house a multidisciplinary team of graduate students, post-doctoral researchers, and physician-scientists developing next-generation molecular prosthetics. The group is supported by NIH, NSF, private foundations, and industry partnerships aimed at democratizing molecular innovation.

Deniz TasdemirView profile

Professor

• Marine Natural Products Chemistry
• Marine Ecology
• Biodiscovery
• +2 more

Prof. Dr. Deniz Tasdemir is a Full Professor (W3) of Marine Natural Products Chemistry at GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel and serves as Director of the GEOMAR-Biotech center and Head of the Marine Natural Product Chemistry Research Unit. Her career spans institutions including the National University of Ireland Galway and UCL School of Pharmacy. PhD in Pharmacy, ETH Zurich (1997) Post-doctoral work, University of Utah (2001) Dr. Helmut Legerlotz Fellowship, University of Zurich (2002-2025) Her research focuses on marine chemical ecology , metabolomics , and bioprospecting for bioactive compounds from sponges, algae, and marine microbiomes. Recent work explores seagrass pathogen reduction, microbiome interactions, and aquafeed applications. Scientific awards include: Waters Award for Natural Products Innovation (2016) Egon Stahl Silver Medal (2005) Pierre Fabre Prize (2004) ETH Zurich Medal (1997) She leads collaborative projects on ocean sustainability and marine drug discovery, with editorial roles in Marine Drugs , Planta Medica , and Phytochemistry Letters .

Lauren AndrewsView profile

Associate Professor

• Synthetic Biology
• Genome Engineering
• Metabolic Engineering
• +5 more

Lauren Andrews serves as Associate Professor and Marvin and Eva Schlanger Faculty Fellow in the Department of Chemical Engineering at the University of Massachusetts Amherst. Her research integrates synthetic biology and genetic engineering to develop programmable cellular systems for biotechnological applications. Education: Postdoctoral Training: Massachusetts Institute of Technology (Biological Engineering and Broad Institute of MIT and Harvard) PhD: University of Colorado Boulder, Chemical Engineering (2012) MS: University of Colorado Boulder, Chemical Engineering (2009) BS: Cornell University, Chemical Engineering (2006) Dr. Andrews' research focuses on establishing genetic design rules for reprogramming cellular regulation and metabolism. Her lab pioneers synthetic gene networks, genetically-encoded biosensors, and high-throughput methodologies for optimizing genetic designs in both model and non-model bacteria. This work enables precise control of cellular sensing, memory, and environmental responses through multiplexed DNA assembly and next-generation sequencing. Analysis of her 15 most recent publications reveals dominant themes in bacterial biosensor development (particularly for bioremediation), quorum sensing engineering, and programmable genetic circuits for probiotic applications. Her research consistently bridges fundamental genetic circuit design with practical implementations in bacterial consortia and non-model organisms. Scientific Awards: Marvin and Eva Schlanger Faculty Fellowship NSF CAREER Award (2020) for "Programmable synthetic microbial consortia for complex multicellular functions" Her grant portfolio demonstrates significant funding for collaborative research in bacterial communication systems and model-guided design of synthetic ecosystems. The Andrews Lab maintains active partnerships with the MIT-Broad Foundry and Cold Spring Harbor Laboratory, where she co-founded the Synthetic Biology Summer Course. Current projects focus on CRISPR-based regulation in non-model bacteria and algorithmic programming of sequential logic in probiotic strains. The Andrews Lab operates within the Life Science Laboratories at UMass Amherst, utilizing advanced facilities for genetic prototyping and high-throughput screening. Her team develops multiplexed tools for exploring genetic design spaces, with particular emphasis on soil bacteria and Gram-positive pathogens for environmental and therapeutic applications.

Raffaele MezzengaView profile

Professor

• Self-Assembly Processes
• Biopolymers
• Protein-Based Materials
• +6 more

Prof. Raffaele Mezzenga is a Full Professor at ETH Zürich's Department of Health Sciences and Technology and Head of the Institute of Food, Nutrition, and Health. He earned his master's from Perugia University (Italy) and a PhD in Polymer Physics from EPFL, followed by postdoctoral work at UC Santa Barbara. His career includes roles at the Nestlé Research Center and the University of Fribourg before joining ETH in 2009. His research focuses on self-assembly processes in polymers, biopolymers, and colloidal systems, with applications in environmental remediation, bioplastics, and biomedical materials. Key contributions include pioneering protein-based materials and advancing understanding of amyloid fibrils. Education: Master's, Materials Science & Engineering, Perugia University PhD, Polymer Physics, EPFL Research Interests: Self-assembly, biopolymers, amyloid materials, sustainable technologies, food colloids, and soft condensed matter. Awards: 2011 AOCS Award, 2017 APS Fellowship, and 2013 Biomacromolecules Young Investigator Award. Visiting Roles: Held visiting professorships at Aalto University, RMIT, Monash University, Nanyang Technological University, and others. Labs/Teams: Leads the Institute of Food, Nutrition, and Health at ETH, focusing on interdisciplinary research in food science and biomaterials. His work bridges fundamental science and applied innovation, addressing global challenges in sustainability and health through materials science. Recent projects include creating bioplastics from food waste, developing amyloid-based water purification systems, and advancing targeted drug delivery via lipidic mesophases.

Priya RamanView profile

Associate Professor

• Molecular mechanisms of vascular smooth muscle cell phenotypic switching
• Non-lipid causes of vascular disease in metabolic syndrome
• Mechanistic links between metabolic syndrome, vascular dysfunction, and Alzheimer’s disease
• +3 more

Priya Raman, Ph.D., FCVS, is an Associate Professor of Integrative Medical Sciences at Northeast Ohio Medical University (NEOMED). She holds tenure and serves as Co-Director of the Basic and Translational Biomedicine (BTB) Graduate Program and Chair of the Kent State University-Biomedical Sciences Pharmacology Graduate Program. Her academic roles include teaching in NEOMED’s medical curriculum, focusing on pharmacology, cardiovascular systems, and clinical therapeutics. Raman’s research explores molecular mechanisms linking metabolic disorders (e.g., diabetes, metabolic syndrome) to vascular dysfunction and Alzheimer’s disease, using mouse models and cellular/molecular techniques. She has published extensively on thrombospondin-1, O-GlcNAc signaling, and atherosclerosis pathogenesis. Education: B.Pharm. and M.Pharm. (India), Ph.D. in Pharmacology (University of Louisiana at Monroe). She has over 25 years of postdoctoral and faculty experience, including roles at the Cleveland Clinic and Indiana University School of Medicine. Raman serves on editorial boards for journals like International Journal of Cardiology and Frontiers in Cardiovascular Medicine , and reviews grants for the American Heart Association and NIH. Research focus areas include: (1) Vascular smooth muscle cell phenotypic switching in metabolic diseases, (2) Non-lipid mechanisms of vascular disease in metabolic syndrome, and (3) Interactions between metabolic disorders and neurodegeneration. Her lab employs biochemical assays, mouse models (e.g., ApoE-/-, KKAy), and advanced imaging techniques to study these pathways. Notable recent work includes discovering that O-GlcNAc transferase deletion reduces atherosclerosis in hyperglycemic mice and identifying thrombospondin-1’s role in leptin-driven vascular pathology. She has also linked metabolic syndrome-induced O-GlcNAc deficits to Alzheimer’s-like cognitive impairment in aging mice. Raman is actively involved in interprofessional education and mentoring, directing graduate programs and teaching courses in pharmacology, molecular signaling, and diabetes/vascular disease. Her work bridges basic science and clinical applications, aiming to develop novel therapies for metabolic syndrome-related vascular complications.

Mark WallaceView profile

Professor

• Membrane Biology
• Biophysics
• Optical Microscopy
• +3 more

Mark Wallace is a Professor of Chemistry at King's College London, affiliated with the Department of Chemistry and the Faculty of Natural, Mathematical & Engineering Sciences. He holds a Royal Society University Research Fellowship (2005–2016) and has been a lecturer at Oxford University before joining King's in 2016. His research focuses on membrane protein function and artificial membrane mimics, combining optical microscopy and nanotechnology. He earned a PhD from the University of Cambridge (2002) and postdoctoral training at Stanford University and the National Institute for Medical Research. Key research interests include membrane protein dynamics, lipid bilayer engineering, and single-molecule imaging. He has pioneered techniques like droplet interface bilayers and interferometric scattering microscopy. His work has led to patents and applications in molecular sensing and medical research. Awards include the 2002 Gregorio Weber Prize and the 2015 RSC Norman Heatley Award. He is actively involved in public outreach, including video podcasts and educational competitions. Recent publications emphasize artificial ion channels, nanoparticle formation monitoring, and mitochondrial protein dynamics. His lab collaborates with institutions like the London Centre for Nanotechnology and the Rosalind Franklin Institute. Over 30 students and researchers have been mentored, with active grants from EPSRC, Wellcome Trust, and BBSRC.