Find Academic Supervisors

Baozhong MengView profile

Associate Professor

• Virology
• Plant Biology
• Molecular Biology
• +3 more

Dr. Baozhong Meng is an Associate Professor in the Department of Molecular and Cellular Biology at the University of Guelph, affiliated with the College of Biological Science. His research focuses on virology, particularly grapevine viruses and their impact on agriculture. He leads a laboratory investigating viral genetics, pathogenesis, and diagnostic methodologies, funded by federal and provincial grants as well as industry partnerships. Dr. Meng holds editorial roles in journals like Frontiers in Plant Science and has authored a comprehensive book on grapevine viruses. Education: B.Sc. from Hebei Agricultural University, Ph.D. in Plant Virology from Cornell University, and a postdoctoral fellowship at Cornell’s Plant Pathology Department. Research interests include viral evolution, molecular biology of plant viruses, and development of diagnostic tools. His lab employs interdisciplinary approaches, including bioinformatics and biochemistry, to address agricultural challenges caused by grapevine viruses such as Grapevine rupestris stem pitting-associated virus (GRSPaV) and Grapevine leafroll-associated virus 3 (GLRaV-3). Recent work emphasizes virus-induced gene silencing (VIGS) systems and next-generation sequencing (NGS) for pathogen discovery. Dr. Meng has advised numerous graduate students and collaborates internationally. His lab includes postdoctoral researchers, visiting scientists, and technical staff. Key grants and partnerships support studies on viral diversity, mitigation strategies, and food safety technologies for hepatitis A virus detection in food matrices. Lab members contribute to advancing diagnostics and understanding viral-host interactions, with applications in sustainable agriculture and public health.

Martin NyachotiView profile

Professor

• Swine Nutrition
• Feed Ingredient Evaluation
• Gut Health
• +1 more

Dr. Martin Nyachoti is Professor and Head of Animal Science at University of Manitoba. His research program investigates digestive physiology of pigs, feed ingredient evaluation, and nutrition-gut health interactions. He directs the T.K. Cheung Centre for Animal Science Research. Teaching includes graduate courses in protein nutrition (ANSC/HNSC 7440) and advanced applied animal nutrition (ANSC 7540), plus undergraduate swine production courses. Research focuses on enhancing nutrient utilization through feed processing, enzyme supplementation, and gut health optimization. Recent publications address amino acid digestibility, feed efficiency, and microbiome management in swine production systems. Studies consistently examine feed processing techniques and enzyme applications to improve nutrient availability.

Mark ShiflettView profile

Professor

• Sustainable Processes
• Ionic Liquids
• Thermodynamic Modeling
• +5 more

Mark Shiflett is a Foundation Distinguished Professor at the University of Kansas , leading research in sustainable chemical processes and material science. His work focuses on refrigerant separation technologies, PFAS remediation, and valorization of agricultural waste. He is affiliated with the NSF Engineering Research Center for Environmentally Applied Refrigerant Technology Hub (EARTH) , addressing global challenges in energy efficiency and environmental sustainability. Research interests include: Development of ionic liquids for separations and energy-efficient processes Adsorption-based technologies using zeolites and fluoropolymers Environmental applications of pistachio shell waste Thermodynamic modeling of nonideal systems Recent work emphasizes: Innovative methods to separate hydrofluorocarbon refrigerants (e.g., R-410A) PFAS removal from water using engineered zeolites Industrial-scale trials of pistachio shell additives in molded pulp products His contributions include over 50 publications on topics ranging from membrane technologies to catalytic processes, with a focus on bridging laboratory research and industrial applications. Current projects involve pilot-scale extractive distillation systems and eco-friendly polymer synthesis.

• Computational Imaging
• Cancer Systems Biology
• Machine Learning in Biomedicine
• +5 more

Shikhar Uttam is an Assistant Professor at the University of Pittsburgh, specializing in computational imaging and optics with applications in cancer systems biology. His work bridges electrical engineering, biomedicine, and quantum information theory. He holds a Ph.D. in Electrical Engineering from the University of Arizona. Education : Ph.D. Electrical Engineering (Minor: Mathematics), University of Arizona, Tucson Research Interests : Computational imaging techniques for early cancer detection Multimodal imaging for tumor microenvironment analysis Machine learning in precision medicine Quantitative phase imaging for cancer prognosis Radar imaging and quantum information systems His research focuses on developing imaging modalities to address challenges in cancer epigenetics, immunotherapy response prediction, and early detection of neoplastic progression. Publications Trends : Recent work emphasizes nanoscale nuclear architecture mapping for cancer risk stratification, immune profiling in Lynch syndrome, and unsupervised machine learning for cell segmentation. His studies often integrate optical engineering with clinical oncology to create diagnostic tools for colorectal, pancreatic, and brain cancers. Grants & Labs : Operates a lab focused on computational systems biology and optical innovation. Research likely supported by grants in biomedical imaging and cancer research (details inferred).

Jhih-Rong LinView profile

Academic

• Genetics
• Genomics
• Aging and Longevity
• +3 more

Jhih-Rong Lin is a Research Assistant Professor in the Department of Genetics at Albert Einstein College of Medicine. His research focuses on understanding the genetic and genomic mechanisms underlying complex human diseases, particularly neurodegenerative disorders, longevity, and developmental syndromes. He employs computational and systems biology approaches to analyze genomic data, identify disease risk genes, and model genetic pathways. Key research themes include: Genetic variants associated with aging and neurodegeneration (e.g., Alzheimer’s disease, schizophrenia) Post-GWAS analysis for disease gene prioritization (e.g., using tools like PGA) Evolutionary genomics of longevity (e.g., studies on beaver genomes) Epigenetic regulation in cancer progression and development Lin’s work bridges computational methods with experimental validation, contributing to drug discovery for aging-related conditions and improving understanding of genetic modifiers in syndromic disorders. His recent publications highlight discoveries in rare variant analysis, polygenic risk prediction, and systems-level aging mechanisms.

• Structural Biology
• Photosynthesis
• Nitrogen Fixation
• +7 more

James Murray is an Associate Professor in the Department of Life Sciences at Imperial College London, affiliated with the Faculty of Natural Sciences. His research focuses on structural and synthetic biology of photosynthesis and nitrogen fixation, with particular attention to protein design, light energy conversion, and enzyme mechanisms. He holds affiliations with the Centre for Structural Biology, Centre for Synthetic Biology, and the Grantham Institute, among others. His academic background includes expertise in macromolecular crystallography, bioinformatics, and protein engineering. Research interests span structural analysis of photosynthetic complexes, nitrogenase systems, and the development of novel solenoid proteins. Collaborative work with the CCP4 suite and pioneering studies on chlorophyll f and far-red photosystems highlight his contributions to understanding energy transduction in biological systems. Recent publications emphasize structural biology advancements, such as AlphaFold-based D1 subunit analysis and computational solenoid protein design. His work bridges fundamental research and applied technologies, including synthetic biology approaches to nitrogen fixation and electrochemical systems. No scientific awards are explicitly listed in the provided text. Advising and grant activities are not detailed here, though his lab engages in major initiatives like photosystem II assembly studies and synthetic metabolic pathway engineering. Affiliations with the Electron Microscopy Centre and Institute of Chemical Biology underscore advanced infrastructure utilization.

Simon CoxView profile

Professor

• Brain and Cognitive Ageing
• Neuroimaging
• Lifecourse Correlates of Brain Structure
• +3 more

Professor Simon Cox is a leading academic in brain and cognitive ageing at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. As a Sir Henry Dale Fellow and Director of the Lothian Birth Cohort Studies, he investigates lifecourse determinants of brain structure and cognitive differences using multi-cohort neuroimaging and genomic data. Principal Investigator on Age UK, BBSRC, ESRC, and NIH-funded projects Research focuses on neurodevelopment, epigenetics, and environmental influences on ageing Research Interests span: Brain-cognition relationships across the lifespan Multi-omics approaches to neurodegeneration Environmental and genetic mediators of cognitive decline Neuroimaging methodology development Frailty and multimorbidity in ageing populations Life-course epidemiology of brain health Selected Publications (2023-2025) reveal trends in: Epigenetic biomarkers of brain ageing Genomic structural equation modeling Environmental impacts (air pollution, socioeconomic status) Neuroinflammation and mental health Connectomic analysis of depression Vascular risk and brain structure Scientific Awards : Sir Henry Dale Fellowship National Institute on Aging R01 funding NIH RF1 grant for Alzheimer's research PhD Supervision includes projects on: PRENCOG cohort (preterm birth effects) Wellcome-funded mental health data science Translational neuroscience (15+ students)

• Theoretical Physics
• Quantum Gases
• Superconductivity
• +5 more

Wave Ngampruetikorn is a Senior Lecturer in the School of Physics at the University of Sydney. He holds a PhD in Physics from the University of Cambridge, where he specialized in ultracold quantum gases as part of the Theory of Condensed Matter Group in the Cavendish Laboratory. His postdoctoral research spanned positions at the Okinawa Institute of Science and Technology (Japan), Northwestern University (USA), and the CUNY Graduate Center (USA), with affiliations to Fermi National Accelerator Laboratory and the Center for the Physics of Biological Function (CPBF), a collaboration between Princeton University and CUNY. His research focuses on theoretical physics with emphasis on quantum many-body systems, superconductivity, statistical mechanics, and interdisciplinary applications of information theory to biological and machine learning systems. Notable work includes studies on chiral superconductors, phase transitions in disordered systems, and the development of energy-based models for protein sequence analysis. Ngampruetikorn’s publications explore topics ranging from anomalous Hall effects in novel materials to foundational aspects of high-dimensional regression and neural network learning dynamics. His work bridges condensed matter physics, biophysics, and computational theory, often employing renormalization group techniques and information bottleneck methods. He has no listed academic awards but maintains active collaborations through institutions like CPBF and Fermilab. While no current advisees are listed, his research themes suggest involvement in graduate training within theoretical physics and interdisciplinary computational projects.

Christian R. WickView profile

Researcher

• Multiscale Modelling
• Computational Mechanochemistry
• Catalysis
• +3 more

Dr. Christian R. Wick is a Principal Investigator and Coordinator of the EAM Unit Computational Advanced Materials and Processes (CAMP) at Friedrich-Alexander-University Erlangen-Nürnberg. He holds a Dr. rer. nat. in theoretical physics and focuses on multiscale modeling of materials, particularly in mechanochemistry, catalysis, and polymer networks. His research integrates computational methods like molecular dynamics and DFT to study reaction mechanisms in materials science and enzymology. He completed his education at FAU with a B.Sc. (2009), M.Sc. (2011), and Ph.D. (2015) in Molecular Science and Theoretical Physics. His work bridges theory and experiment, addressing challenges in low-temperature catalysis (e.g., water-gas shift reactions) and functional materials design. Notable contributions include advancements in SILP catalysts, epoxy resin modeling, and mechanochemical reactivity prediction. Wick has been recognized with the Lecture Award at the 28th Molecular Modelling Workshop (2014). His research outputs span over 28 publications, with key topics including ionic liquid behavior, polymer cross-linking dynamics, and computational enzyme modeling. He collaborates widely, contributing to projects like the GRK 2423 FRASCAL initiative on fracture mechanics across scales. Wick’s interdisciplinary approach involves teams in materials science, catalysis, and computational physics, with ongoing projects on advanced polymer materials, mechanochemical reaction engineering, and enzyme activity modeling. His lab (CAMP) emphasizes innovative methodologies for simulating complex material behaviors under mechanical and thermal stresses.

Torsten WaldminghausView profile

Professor

• Molecular Microbiology
• Synthetic Biology
• Bacterial Chromosome Biology
• +4 more

Prof. Torsten Waldminghaus is a Professor in the Department of Biology at Technische Universität Darmstadt, Germany. His research focuses on molecular microbiology and synthetic biology, particularly bacterial chromosome biology and DNA replication mechanisms. He leads a lab developing synthetic secondary chromosomes in Escherichia coli to study chromosome organization and function. Key projects include analyzing Vibrio cholerae's natural secondary chromosome and engineering synthetic systems to understand DNA motif distribution effects on replication. Research interests span bacterial chromosome maintenance, synthetic biology applications, and environmental stress responses. His lab employs techniques like motif-based machine learning (e.g., γBOriS software) to identify origins of replication and develop tools like the MARSeG sequence generator. Collaborative efforts include studying ultrafast-growing marine bacteria as synthetic biology chassis. Publications highlight work on bacterial inactivation in water disinfection, fitness costs of molecular interactions, and the interplay between metabolic pathways and DNA replication. His research bridges fundamental microbiology with applied synthetic biology, aiming to engineer novel biological systems while uncovering foundational biology principles.

Simon KasifView profile

Professor

• Computational Biology
• Genomics
• Bioinformatics
• +5 more

Simon Kasif is a Professor of Biomedical Engineering at Boston University. He co-founded the Center for Advanced Genomic Technology (CAGT), COMBREX (Computational Bridges to Experiments), and is a member of the I2B2 Center. His work spans computational biology, systems biology, and AI applications in healthcare. He contributed to the Human Genome Project, co-developed tools like Glimmer and Mummer, and pioneered probabilistic networks for gene function prediction. Education: M.S. & Ph.D., Computer Science, University of Maryland B.Sc., Mathematics, Tel Aviv University Research Interests: Dr. Kasif focuses on integrating computational methods with biological data to understand disease mechanisms, particularly diabetes and cancer. His work emphasizes AI ethics, network biology, and translational research. He has developed methodologies for protein interaction networks, genomic data analysis, and systems biology modeling. Key Contributions: Co-developed Glimmer, a widely used gene prediction tool Pioneered functional linkage networks for gene function prediction Advocated Bayesian networks in computational biology Investigated disease network signatures, including diabetes and Alzheimer’s Lead projects on AI safety, SARS-CoV-2 interaction mapping, and metabolic pathway analysis Grants & Collaborations: Active in interdisciplinary projects, including the COMBREX initiative for protein function annotation and I2B2’s clinical data integration. His work bridges computational methods with clinical applications, fostering open science and reproducible research practices. Labs & Teams: Directs research at CAGT and I2B2, collaborating across institutions to advance genomic technologies and systems biology approaches.

Marcel TurcotteView profile

Associate Professor

• Bioinformatics
• Computational Biology
• Algorithm Design
• +3 more

Dr. Marcel Turcotte is an Associate Professor at the School of Electrical Engineering and Computer Science (EECS) at the University of Ottawa. He holds a Ph.D. from Université de Montréal and has conducted postdoctoral research at the University of Florida and the Imperial Cancer Research Fund in the UK. His research focuses on bioinformatics, computational biology, algorithm design, and machine learning applications in biological systems. Education: Ph.D., Université de Montréal (advisor: Guy Lapalme and Robert Cedergren) Postdoctoral Work: University of Florida (Steve Benner lab), Imperial Cancer Research Fund (Biomolecular Modelling Laboratory) His research interests include RNA structure prediction, protein secondary structure analysis, evolutionary-based bioinformatics methods, and computational intelligence applied to genomic data. He has developed algorithms like WACS for ChIP-seq analysis and RiboFSM for RNA structural motif discovery. His work bridges computer science and molecular biology, addressing challenges in genomic data interpretation and predictive modeling. Dr. Turcotte’s recent publications emphasize machine learning applications in RNA and protein structure analysis, as well as computational tools for genomic sequence mining. He has contributed to understanding gene fragmentation in Diplonema mitochondria and host susceptibility prediction for RNA viruses. His interdisciplinary approach integrates algorithm design with biological problem-solving. No scientific awards or grants are explicitly mentioned in the provided text. His academic profile includes collaborations in bioinformatics, computational biology, and educational methodologies for engineering students.

• Grazing Management
• Greenhouse Gas Emissions
• Soil Health
• +7 more

Joao Sacramento is a Research Associate in the Department of Animal Science at Michigan State University (MSU), affiliated with the College of Agriculture & Natural Resources. He holds a Ph.D. in Bioengineering from the Federal University of São João del Rei (UFSJ), Brazil, with collaborative work at Embrapa Dairy Cattle Research Corporation. His research focuses on optimizing grazing management practices to improve soil health and reduce greenhouse gas emissions, leveraging remote sensing and drone technology for biomass prediction and methane modeling. Educational Background: Bachelor's in Animal Science (UFSJ, 2014) MSc in Bioengineering (UFSJ, 2017) Ph.D. in Bioengineering (UFSJ, 2021) Research Interests: João investigates the intersection of sustainable livestock practices and environmental stewardship. Key areas include: - Methane mitigation strategies in dairy systems - Remote sensing applications for forage quality assessment - Tropical cattle nutrition optimization - Soil carbon sequestration through grazing management - Precision agriculture technologies Current Projects: Co-Principal Investigator at the Lake City AgBio Research Center, developing models to predict methane emissions and improve ecosystem function in grazing lands. His work integrates agronomic, engineering, and environmental science approaches. Professional Experience: Includes research roles at the University of New Hampshire focusing on dairy nutrition and methane reduction in organic/conventional systems. Lab Affiliations: Active at the Lake City AgBio Research Center and collaborates with MSU Extension programs.

Ling HuangView profile

Academic

• Cancer Research
• Pharmacology
• Toxicology
• +5 more

Ling Huang is a Research Assistant Professor affiliated with Henry Ford Health System and Michigan State University's Department of Pharmacology and Toxicology. Her research focuses on pancreatic cancer, organoid modeling, drug screening, and cancer immunotherapy. She holds a PhD in Biological Sciences from Purdue University and a B.S. in Biochemistry from East China University of Science and Technology. Huang's work has been supported by grants from the Hirshberg Foundation and National Foundation for Cancer Research. Education: PhD, Biological Sciences, Purdue University (2003–2009) B.S., Biochemistry, East China University of Science and Technology (1999–2003) Research Interests: Her studies explore therapeutic strategies for pancreatic cancer using patient-derived organoids, including EZH2 targeting and personalized tumor vaccines. She investigates circulating tumor cells (CTCs) to predict treatment responses and develops novel drug targets through genomic and single-cell analyses. Her work bridges basic cell biology, pharmacology, and translational oncology. Grants and Funding: Investigating EZH2 targeting in pancreatic cancer using organoids (Hirshberg Foundation) CTC-based predictive models for chemotherapy responses (National Foundation for Cancer Research) Labs and Affiliations: Huang collaborates with teams at Henry Ford Hospital and MSU's Life Science Building, leveraging organoid platforms and cutting-edge genomic tools to advance pancreatic cancer research.

Andrew TinkerView profile

Professor

• Cardiac Electrophysiology
• Molecular Medicine
• Arrhythmia Research
• +3 more

Professor Andrew Tinker is a Professor of Cardiac Electrophysiology at Queen Mary University of London's Faculty of Medicine and Dentistry, affiliated with the William Harvey Research Institute and Clinical Pharmacology & Precision Medicine Centre. His career includes training at Oxford and London, followed by pre/postdoctoral research in the UK and USA focusing on cardiac ion channels and molecular mechanisms. He held a Wellcome Trust Senior Research Fellowship and a Professorship in Molecular Medicine at University College London before joining Barts and The London School of Medicine and Dentistry in 2011. Research interests span cardiac electrophysiology, potassium channel function, arrhythmia mechanisms, and molecular medicine. He has contributed to funding committees for major organizations including the British Heart Foundation and MRC. Awards include Fellowship of the Academy of Medical Sciences (2006) and prior leadership roles as Head of Clinical Pharmacology at the William Harvey Research Institute. Collaborations involve internal experts like Professors Patricia Munroe and David Kelsell, and external partners such as Professors Pier Lambiase (UCL) and Alex Gourine (UCL). Key sponsors include the British Heart Foundation, Medical Research Council, and National Institute for Health and Care Research. His work integrates genetic, physiological, and clinical approaches to advance understanding of cardiac dysfunction and arrhythmias.