Olga Vitek is a Professor at Northeastern University's Khoury College of Computer Sciences, with affiliated faculty status in the Department of Chemistry and Chemical Biology. Her research bridges statistical science and machine learning with mass spectrometry-based proteomics and systems biology, focusing on developing open-source software tools like MSstats and Cardinal for quantitative proteomic analyses and imaging. Education: PhD in Statistics (Purdue University), Postdoc at the Ruedi Aebersold Lab (Institute for Systems Biology) Leadership: Director of the Barnett Institute for Chemical and Biological Analysis Her work emphasizes: Statistical experimental design Signal detection in complex mass spectrometry data Causal inference in biomolecular networks Reproducible computational infrastructure Recent publications highlight advancements in quantitative proteomics , mass spectrometry imaging , and causal modeling , with applications spanning cancer research, immunology, and clinical diagnostics. Notable trends include deep learning integration for image analysis and open-source tool development for scalable, transparent workflows. Scientific accolades: Elected Fellow of the American Statistical Association 2021 Gilbert S. Omenn Computational Proteomics Award NSF CAREER award Chan-Zuckerberg Essential Open-source Software award Senior Member, International Society for Computational Biology
Peter Karsmakers serves as Associate Professor at KU Leuven's Department of Computer Science within the Faculty of Engineering Technology, based at the Geel Campus. He coordinates the Declarative Languages and Artificial Intelligence (DTAI) research group and holds leadership roles including coordinator of Research and Education for Computer Science across Geel and Diepenbeek Campuses. Karsmakers earned his PhD in Engineering Science in May 2010, focusing on kernel-based learning algorithms for sparse modeling and efficient predictions from large datasets. His doctoral work established foundations for his current research trajectory in resource-constrained machine learning systems. His research integrates machine learning with signal processing for real-time sensor data interpretation, specializing in anomaly detection from acoustic, radar, and accelerometer signals on embedded devices. Current projects address industrial condition monitoring, elderly care systems, and livestock facility monitoring through three main tracks: acoustic monitoring (e.g., SINS, WATCHDOG), radar-based systems (e.g., FARADAY, NextPerception), and smart electronics for power converters. Recent publications demonstrate strong trends in constraint-guided deep learning architectures for industrial applications, cross-environment robustness in sensor systems, and domain-knowledge integration to reduce data requirements. His work consistently bridges theoretical machine learning with practical implementations in resource-constrained environments. No scientific awards or fellowships were mentioned in the provided materials. Karsmakers supervises over 10 master's theses annually and coordinates a research team of 10 PhD students and a post-doc within DTAI-ADVISE. He has secured approximately 2.3 million euros in funding through VLAIO, EU-ECSEL, and bilateral industry contracts, including 10 active projects such as AutoEdgeML (2024-2028) and Fault Tolerant Neural Networks for Space Applications (2024-2027). He leads the DTAI-ADVISE research group focused on developing software that attaches semantics to sensor data on resource-constrained devices. The team operates across multiple campuses with specialized labs for acoustic monitoring (Geel), radar-based systems (in collaboration with ESAT-TELEMIC), and smart electronics (with Electrical Engineering department), maintaining strong industry partnerships with companies in healthcare, manufacturing, and agriculture sectors.
Dr. Albert Koulman is a Principal Research Associate at the University of Cambridge, affiliated with the Metabolic Research Laboratories (MRL) within the Institute of Metabolic Science. His work focuses on developing advanced analytical methods for metabolomics and lipidomics to understand metabolic processes in diseases. Department: Department of Clinical Biochemistry, University of Cambridge Key Roles: Scientific Director of the NIHR BRC Metabolomics and Lipidomics facility Research Interests 1. Metabolism in Pregnancy & Early Life: Collaborates with international teams to study lipid metabolism during pregnancy and infancy, developing biomarkers for gestational diabetes, infant nutrition, and childhood obesity risks. 2. Technological Innovations: Leads development of single-cell lipidomics and organelle-specific lipid profiling, establishing a full pipeline from sample preparation to bioinformatics. 3. Nutritional Biomarker Methodology: Specializes in dried blood spot applications for lipid analysis in clinical and population studies, supported by the MRC Epidemiology Unit. Article Trends Recent publications highlight his expertise in lipid metabolism across diseases (e.g., diabetes, melanoma, NAFLD). Key themes include sexual dimorphism in lipid biosynthesis, vitamin D dynamics during exercise, stromal lipid influences on cancer progression, and malnutrition recovery protocols. Methodological advancements (LC-MS/MS, single-cell analysis) and global health applications (Gambian maternal nutrition, pediatric rehabilitation) are recurring topics. Group Members & Collaborations Dr. Ben Jenkins (Analytical Chemist) Ms. Paulina Guevara Dominguez (Research Assistant) Ms. Nina van der Velde (MPhil Student) Collaborators: Sue Ozanne (Pregnancy Metabolism), MJFF (Parkinson’s research), MRC (Epidemiology Unit) Research Funding Biotechnology and Biological Sciences Research Council (BBSRC) JPI (Joint Programming Initiative) Michael J. Fox Foundation (MJFF) Medical Research Council (MRC) National Institute for Health and Care Research (NIHR)
Professor Shanlin Fu is a distinguished academic at the University of Technology Sydney (UTS), holding the position of Professor in the School of Mathematical and Physical Sciences and affiliated with the Centre for Forensic Science. He serves as the Program Director for the Bachelor of Forensic Science program and is a Research Integrity Adviser for the Faculty of Science. With over $10 million in competitive research funding from ARC, NHMRC, and other national and international schemes since 2008, Professor Fu leads the Drugs and Toxicology Group, focusing on developing sensitive methods for clinical diagnosis, therapeutic drug monitoring, and drugs of abuse testing. Professor, UTS School of Mathematical and Physical Sciences (2019-present) Associate Professor, UTS School of Chemistry and Forensic Science (2015-2019) Senior Lecturer, UTS School of Chemistry and Forensic Science (2008-2014) Professor Fu earned his PhD in Medicinal and Pharmaceutical Chemistry from the University of Sydney (1989-1992), an MSc in Phytochemistry from Peking Union Medical College (1982-1985), and a BSc in Biology from Nanjing Normal University (1978-1982). Prior to his academic career at UTS, he served as a Senior Hospital Scientist at the Northern Sydney Area Health Service (2000-2008) and as a Senior Research Scientist at The Heart Research Institute (1993-2000). Professor Fu's research spans analytical chemistry, forensic chemistry, medical biochemistry, pharmacology, pharmaceutical sciences, forensic toxicology, and clinical toxicology. His work focuses on three main areas: Forensic Chemistry concerning identification of drugs of abuse including new psychoactive substances; Forensic Toxicology focusing on detection of drugs in biological matrices for clinical and medico-legal purposes; and Clinical Toxicology aiming to understand mechanisms of substance abuse harms. His research has strong real-world applications, with his patented 'Cathinone Test' already commercialized for law enforcement and potential healthcare settings. Analysis of Professor Fu's recent publications reveals a strong emphasis on developing innovative analytical methods for drug detection, particularly for new psychoactive substances. His work increasingly incorporates multi-omics approaches (metabolomics, lipidomics, proteomics) and machine learning techniques to enhance detection capabilities. There's a clear trend toward translating laboratory research into practical field applications, with numerous color spot tests and portable detection methods being developed for law enforcement use. His research also shows expanding applications in equine doping control and postmortem analysis. Vice-Chancellor's Medal for Research Excellence through Collaboration or Partnership (2023) UTS Teaching and Learning Award for Team Teaching (2022) MAPS Research Translation Award (2022) As a member of the HDR Panel since 2022, Professor Fu actively supervises Masters Research and PhD students in forensic science. His extensive grant portfolio includes leadership of the ARC Research Hub for Integrated Device for End-user Analysis at Low-levels and the Australian Centre for cannabinoid clinical and research excellence (ACRE). He has established key collaborations with Australian Federal Police, NSW Forensic and Analytical Science Service, Racing NSW, and international institutions including University of Copenhagen and University of Dundee. His research impact extends beyond academia through commercialization of detection technologies that improve efficiency and accuracy of illicit drug detection. Professor Fu heads the Drugs and Toxicology Group at the Centre for Forensic Science, which maintains strong industry partnerships with forensic laboratories and law enforcement agencies. His group is currently developing a multiplexer device that can simultaneously detect multiple new psychoactive substances including cathinones, NBOMEs, piperazines, and fentanyl analogues. The group's work bridges fundamental research with practical applications, with several technologies moving from the laboratory to real-world implementation in forensic and healthcare settings.
Dr. Maneka Malalgoda is an Assistant Professor in the Department of Food and Human Nutritional Sciences at the University of Manitoba's Faculty of Agricultural and Food Sciences. Her research focuses on grain chemistry, processing quality, and the development of healthy grain-based food systems. PhD in Cereal Science, North Dakota State University MSc in Cereal Science, North Dakota State University BSc in Medical & Pharmaceutical Biotechnology, University of Applied Sciences, Austria Dr. Malalgoda's research investigates the physicochemical properties of grain proteins and starches, their functionality in food processing, and the biological activity of grain biomacromolecules. She explores how these components contribute to nutritional value, safety, and structural integrity in bakery applications. Her recent publications highlight advancements in protein-enriched wholegrain bread, ancient grain processing optimization, oat protein health benefits, and pesticide residue impacts on cereal chemistry. Key trends include the use of analytical techniques (HPLC, LC-MS) and the intersection of traditional grains with modern nutritional needs. Dr. Malalgoda teaches courses in food science, including FOOD 4100: Current Issues in Food and Human Nutrition , FOOD 3220: Grains for Food and Beverage , and FOOD 3200: Bakery Science and Technology . She supervises graduate research at the University of Manitoba's Ellis Building facility.
Amber Hupp is a Professor in the Department of Chemistry at the College of the Holy Cross, where she serves as both a faculty member and Gifted High School Advisor. Her expertise spans Analytical Chemistry and Environmental Chemistry, with significant contributions to biodiesel analysis and chemistry education. She earned her Ph.D. from Michigan State University and teaches courses including Environmental Chemistry, Atoms & Molecules, Equilibrium & Reactivity, and Instrumental Chemistry/Analytical Methods. Professor Hupp's research focuses on applying Gas Chromatography-Mass Spectrometry (GC-MS) and chemometric methods like Principal Component Analysis (PCA) to characterize biodiesel feedstocks and blends. Her work develops analytical frameworks for identifying biodiesel sources, optimizing chromatographic separations, and extending ASTM standards to renewable fuels. She also pioneers creative pedagogical approaches for non-science majors, emphasizing societal relevance in chemistry education. Her publication record from 2006-2022 reveals three interconnected research streams: 1) Advanced chromatographic techniques for biodiesel analysis, 2) Chemometric modeling of complex fuel systems, and 3) Educational innovations in chemistry curriculum design. This work consistently bridges analytical method development with practical environmental applications. No scientific awards were mentioned in the source material. While specific grant details aren't provided, Professor Hupp actively mentors undergraduate researchers as evidenced by student co-authorships across her publications. Her educational work demonstrates commitment to advising non-science majors through curriculum development. She leads the Hupp Lab at Holy Cross, which specializes in analytical environmental chemistry using GC-MS instrumentation. The lab focuses on biodiesel characterization, chemometric data analysis, and forensic applications of fuel analysis, providing hands-on research experience for undergraduate students.
Magda El-Sherbini is an Associate Professor and Middle East and Islamic Studies Librarian at The Ohio State University (OSU), specializing in multilingual subject access, library science, and cataloging. She holds a BA in Library Science from Cairo University and an MA in Library and Information Science from The Catholic University of America. Her career spans roles such as Head of the Cataloging Department at OSU Libraries and Middle East Cataloging Specialist, with significant contributions to library standards like RDA and BIBFRAME. El-Sherbini has been awarded two prestigious Fulbright grants: one for research at the Bibliotheca Alexandrina (2010-2011) and another for teaching/research at the American University of Kuwait (2016-2018). She has received notable awards including the ALA ALCTS Outstanding Publication Award (2014) for her book *RDA: Strategies for Implementation* and the Margaret Mann Citation (2015). Her research focuses on Arabic name authority control, multilingual thesaurus development, and linked data applications in libraries. Her professional activities include teaching courses on 'Women in Islam' and 'Image of Arabs in Western Media,' as well as workshops on cataloging standards globally. She has authored over 20 publications, including seminal works on RDA implementation, BIBFRAME, and non-Roman subject access. El-Sherbini’s work bridges cultural, linguistic, and technological divides in library systems, emphasizing global accessibility and knowledge preservation.
Ronny Bruffaerts serves as a Professor at KU Leuven's Faculty of Medicine within the Department of Neuroscience. He leads the Psychiatry Research Group (ON5 unit) and holds significant institutional roles including membership on the Faculty Council of Medicine, Doctoral Committee for Medicine, and Departmental Council of Neurosciences. His work is integrated with major university institutes including the KU Leuven Brain Institute (LBI) and the Institute for Child and Youth (LC&Y). Primary Affiliation: Psychiatry Research Group, Department of Neuroscience Institute Memberships: KU Leuven Brain Institute, Institute for Child and Youth Governance Roles: Faculty Council, Doctoral Committee, Departmental Council Bruffaerts' research focuses on psychiatric epidemiology with specialization in emergency psychiatry, research methodology, and psychological diagnostics. His work examines mental health patterns in college student populations globally through the World Mental Health International College Student initiative. Key investigations include suicidal behavior trajectories, mental disorder comorbidity, childhood adversity impacts, and LGBTQ+ mental health disparities across diverse cultural contexts. His methodological expertise spans longitudinal modeling, cross-national survey design, and machine learning applications for risk prediction. Analysis of his recent publications reveals dominant research trends in global college student mental health, with emphasis on longitudinal disorder progression, cross-cultural comparisons of mental health service utilization, and innovative applications of machine learning for suicide risk prediction. His work consistently leverages large multicountry datasets from the World Mental Health surveys, demonstrating strong methodological rigor in epidemiological study design. Bruffaerts actively leads multiple major research projects including: Psychische stoornissen bij transplantatiepatiënten (2025-2029) Middelengebruik en -misbruik bij universiteitsstudenten (2023-2027) Evaluatie van Psychiatrische High and Intensive Care in België (2023-2027) Perinatale depressie: Van prevalentie tot preventie (2022-2026) His projects typically involve international collaborations and focus on translating epidemiological findings into clinical practice improvements, particularly regarding mental health monitoring systems and innovative care models. He contributes to mental health infrastructure through development of the public health monitor for mental health (2022-2024) and evaluation of psychiatric high-care models in Belgium. His work bridges population-level epidemiology with clinical implementation, particularly in emergency psychiatry contexts and university mental health services.
Mikael Fogelholm is a Professor in the Department of Food and Nutrition Research at the University of Helsinki's Faculty of Agriculture and Forestry. He holds the title of Docent and serves as a Supervisor for the Doctoral Programme in Food Chain and Health. His research focuses on public health nutrition, physical activity promotion, obesity prevention, and international collaboration on food policy. He has been active in numerous high-impact projects addressing sustainable food systems, maternal health, and child nutrition. Awards: J.V. Snellman Prize (2016), State Award for Public Information (2018) Teaching: Designed courses like 'The Kaleidoscope of Food and Human Nutrition Studies' (HNFB-201) Leadership: Project Manager for 'LC PEPPER' (2022–2026) analyzing food purchasing impacts Dr. Fogelholm's work bridges nutritional science with public health policy, emphasizing evidence-based interventions. He frequently engages in media outreach and academic peer review, including over 70 supervisory and editorial roles.
Dr. Ahmed Hamid serves as an Assistant Professor in the Department of Chemistry and Biochemistry at Auburn University . A graduate of Virginia Commonwealth University (Ph.D., 2012) and Alexandria University (B.Sc., 2004), his career spans academia and industry, including senior roles at MOBILion Systems and postdoctoral work at Pacific Northwest National Laboratory and Purdue University. Ph.D. Chemistry, Virginia Commonwealth University B.Sc. Chemistry, Alexandria University, Egypt Research focuses on ion mobility mass spectrometry for clinical diagnostics (infectious diseases, Alzheimer’s biomarkers) and environmental analysis (pesticide detection). His group develops portable devices for non-expert users like nurses and farmers, aiming to reduce antibiotic resistance and foodborne illness through rapid pathogen identification. Key publications highlight isomer separation , pathogen discrimination , and multidimensional spectrometry (LC-IM-MS/MS). Recent patents cover ion mobility-mass spectrometer coupling and waveform control for structural analysis. Awards include 2024 Emerging Investigator , NIH MIRA , and multiple R&D 100 recognitions. 5+ granted patents 41 peer-reviewed publications 2025 Brian Wilson Award Teaching includes CHEM 7560: Mass Spectrometry and CHEM 3050: Analytical Chemistry . The Hamid Lab operates in Labs 273, 276, 279 of the Chemistry Building, mentoring postdocs, Ph.D. candidates, and undergraduates in advanced analytical techniques.
Prof. Dr. Daniela Beisser is a Professor at the Department of Engineering and Natural Sciences (FB 8) of the Westphalian University of Applied Sciences in Recklinghausen, Germany. Her research focuses on bioinformatics and biostatistical methods for high-throughput 'omics data, applied to biomedicine and freshwater ecology. She previously held academic roles at the University of Duisburg-Essen (2017–2023) and University Hospital Essen. 2004–2008: B.Sc. in Molecular Biology with Bioinformatics focus, FH Gelsenkirchen 2006–2008: M.Sc. in Molecular Biology with Bioinformatics focus, FH Gelsenkirchen 2008–2011: Ph.D. in Bioinformatics, University of Würzburg Her research integrates computational approaches with experimental data to study molecular responses to environmental stressors in freshwater organisms, genome analyses in human and protists, and proteomic studies in plants. She also investigates eco-evolutionary theories in microorganisms and links biodiversity to ecosystem functions. Recent publications highlight her work on amplicon sequencing (Natrix2 pipeline), metatranscriptomic analysis of microbial communities, and machine learning frameworks for environmental data. She contributes to software tools like TaxMapper and BioNet for reproducible workflows. Best Poster Award, German Conference on Bioinformatics (2013) Travel scholarships: DAAD, DAAD PROMOS, German Symposium on Systems Biology E-fellows.net scholarship (2006–2008) She has supervised numerous PhD, Master’s, and Bachelor’s students on topics such as protist community dynamics , fungal degradation processes , and stressor recovery mechanisms . Her lab collaborates on the CRC 1439 'RESIST' project and develops tools for environmental DNA analysis.
Dr. Joanna Gambetta serves as a Lecturer in Food Science at the University of Newcastle , affiliated with the School of Environmental and Life Sciences . With academic qualifications from Montpellier SupAgro (MSc in Oenology and Viticulture) and the University of Adelaide (PhD in Wine Science), her research focuses on grape and wine quality assessment , biotic/abiotic stress impacts on aroma composition , and practical solutions for vineyard challenges in Australian contexts. Education : MSc in Oenology and Viticulture, Montpellier SupAgro PhD in Wine Science, University of Adelaide Research Interests span three primary domains: Antifungal microbial volatile organic compounds (VOCs) for biocontrol applications, particularly against Botrytis cinerea and Alternaria alternata through novel analytical approaches Climate change adaptation strategies in viticulture, including modeling vine phenology and mitigating sunburn damage via secondary metabolite analysis Food chemistry innovations in plant-based protein gels and dairy alternatives, integrating fermentation and enzymatic crosslinking Publication Trends reveal a multidisciplinary approach combining analytical chemistry (SPME-GC-MS, LC-MS/MS), chemometrics , and industrial collaboration . Her work bridges agricultural science with food sensory analysis , while recent studies tackle plant-based cheese development using pea protein emulsions.
Jelena Dj. Trifkovic serves as Full Professor in the Department of Analytical Chemistry at the Faculty of Chemistry, University of Belgrade, where she was promoted from Assistant Trainee (2003) through Associate Professor (2019) to her current position (2024). She concurrently holds leadership roles as Vice-Dean for Teaching and Secretary of the Serbian Chemical Society since 2020. Her academic foundation includes undergraduate (1995-2001), Master's (2003-2006), and Doctoral studies (2011-2013) in Chemical Sciences, all completed at the University of Belgrade's Faculty of Chemistry. Trifkovic's research centers on chromatographic separation techniques and chemometrics for food authenticity verification, particularly focusing on bee products like honey and propolis. Her methodology integrates advanced analytical instrumentation with multivariate data analysis to establish quality control protocols and detect adulteration, significantly contributing to food safety standards in the Balkan region. Analysis of her publication record reveals consistent innovation in HPTLC image analysis and multi-technique approaches (GC, LC, electrochemical methods) for natural product authentication. Her work demonstrates increasing international collaboration, with recent publications emphasizing standardized protocols for regulatory compliance and health benefit validation of food components. She actively secures competitive research funding, including Horizon Europe's PFAStwin project (2022-2025) and UNDP-funded valorization initiatives (2023-2024), alongside leadership in bilateral projects on bee product authentication with Croatian and Slovenian institutions. Trifkovic maintains strong laboratory networks through her affiliation with Slovenia's National Chemical Institute Food Chemistry Laboratory and coordinates multiple university committees focused on curriculum development and quality assurance in chemical education.
Paul Shipley is an Associate Professor in the Department of Chemistry within the Irving K. Barber Faculty of Science at the University of British Columbia Okanagan. He also serves as Associate Dean of the College of Graduate Studies. His research focuses on natural products chemistry, metabolomics, and NMR-based analysis of medicinal plants and bacteria to investigate chemical differences between species and samples. His work has applications in discovering biological activities, optimizing natural health product formulation, identifying adulterated products, and classifying species by their chemistry. Dr. Shipley's educational background includes: PhD from the University of Washington Dr. Shipley's research centers on organic chemistry and natural products biosynthesis, with particular emphasis on the biochemistry of secondary metabolism in plants and bacteria. His laboratory develops and applies nuclear magnetic resonance (NMR) metabolomics approaches to define the complex chemistry of medicinal plants, which traditionally has been challenging due to the estimated 30,000 distinct phytochemicals present in an average plant tissue. His work bridges analytical chemistry, plant biochemistry, and statistical analysis to create robust methods for species differentiation and chemical profiling. Specifically, his lab investigates NMR-based chemical approaches for medicinal plant analysis across various species, comparing results with LC/MS metabolomic analysis and chromatographic separation methods. They develop statistical tools to discriminate between true and false positives in significance analysis and optimize NMR experiments for best discrimination between sample types, with applications in hawthorn chemotaxonomy, cranberry analysis, and other medicinal plant studies. Dr. Shipley's recent publications demonstrate a strong focus on NMR-based metabolomics applied to plant chemistry, particularly for species identification and quality control of natural health products. His work spans multiple plant genera including Crataegus (hawthorn), Vaccinium (cranberry), and Artemisia (sagebrush), with consistent methodological development in statistical analysis and NMR techniques. A notable trend is the application of machine learning algorithms to refine metabolomic data interpretation and the development of robust models for distinguishing between closely related plant species and varieties. His research program has contributed significantly to: Development of new NMR-based approaches for plant metabolome analysis Creation of statistical tools for metabolomic data refinement Chemotaxonomic studies of medicinal plants with pharmacological relevance Identification of cardioprotective compounds in hawthorn species As a graduate student supervisor in the Department of Chemistry, Dr. Shipley mentors students in organic chemistry, natural products biosynthesis, and analytical methodology development. His research program involves multiple funding sources supporting NMR metabolomics instrumentation, plant collection and analysis fieldwork, statistical methodology development, and collaborative studies with pharmacology and botanical researchers. Dr. Shipley leads a research laboratory focused on NMR-based metabolomics of medicinal plants and bacteria. His team develops advanced statistical and methodological tools for model improvement in metabolomic analysis, with particular expertise in distinguishing between closely related plant species and varieties. The lab collaborates across disciplines, integrating chemical analysis with biological activity studies to connect phytochemical profiles with potential pharmacological relevance, particularly in cardioprotective compounds found in hawthorn and urinary tract health applications of cranberry compounds.
John Azietaku is a Research Fellow at Monash University's Department of Drug Discovery Biology, specializing in analytical methods for drug metabolism, traditional Chinese medicine (TCM) research, and pharmacokinetics. His work focuses on developing advanced LC-MS/MS and HPLC techniques for quantifying bioactive compounds in biological matrices, particularly in herbal extracts and pharmaceutical formulations. Key research interests include chemometric methods for herbal standardization, tissue distribution studies of natural products, and investigating enzyme inhibition (e.g., CYP450) effects of TCM preparations. He has conducted extensive pharmacokinetic analyses of compounds like bergapten, periplocin, and Columbianadin in rat models, emphasizing metabolite identification and bioavailability. His publications highlight methodological innovations in simultaneous quantification of multi-components and application of bioactivity-guided approaches for drug discovery. While no awards are explicitly mentioned, his contributions to analytical methodologies in TCM research are notable. He has no listed advisees or grants in the provided data. His research is closely tied to the Drug Discovery Biology team at Monash, focusing on translational applications of analytical chemistry in pharmaceutical development.
