جست‌وجوی استاد و پژوهشگر

Torsten Waldminghausمشاهده پروفایل

استاد

• Molecular Microbiology
• Synthetic Biology
• Bacterial Chromosome Biology
• +۴ مورد دیگر

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 Kasifمشاهده پروفایل

استاد

• Computational Biology
• Genomics
• Bioinformatics
• +۵ مورد دیگر

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 Turcotteمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Biology
• Algorithm Design
• +۳ مورد دیگر

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
• +۷ مورد دیگر

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 Huangمشاهده پروفایل

عضو هیئت علمی

• Cancer Research
• Pharmacology
• Toxicology
• +۵ مورد دیگر

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 Tinkerمشاهده پروفایل

استاد

• Cardiac Electrophysiology
• Molecular Medicine
• Arrhythmia Research
• +۳ مورد دیگر

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.

Candace Haiglerمشاهده پروفایل

استاد

• Cellulose Biology
• Plant Cell Wall Biogenesis
• Cotton Fiber Development
• +۶ مورد دیگر

Candace Haigler is a Professor and Director of Crop Science Graduate Programs at NC State University's College of Agriculture and Life Sciences, within the Department of Crop and Soil Sciences. Her research focuses on cellulose synthesis, plant cell wall biogenesis, and cotton fiber development. She leads a multidisciplinary lab employing techniques like bioinformatics, genomics, molecular genetics, microscopy, and plant transformation to study cotton fiber and tracheary element cell walls. Her work aims to improve cellulose-based crops, such as wood and forage, through genetic engineering and marker-assisted breeding. Key research themes include understanding cellulose nanofibril assembly, microtubule regulation in fiber growth, and leveraging genomic resources for crop improvement. Publications highlight advancements in cotton fiber gene expression modeling, alternative cellulose biosynthesis pathways, and structural biology of cellulose synthases. Collaborations span plant biology, computational science, and materials research to address agricultural challenges. As a leader in graduate education, Haigler oversees the Crop Science Graduate Programs, fostering next-generation researchers in plant sciences. Her lab’s findings contribute to transitioning cotton from a bulk commodity to a value-added material tailored for specific applications.

Constance J. Jefferyمشاهده پروفایل

دانشیار

• Protein Structure
• Protein Function
• Bioinformatics
• +۳ مورد دیگر

Constance J. Jeffery is an Associate Professor in the Department of Biological Sciences at the University of Illinois Chicago's College of Liberal Arts and Sciences. She holds a PhD from the University of California at Berkeley and a BS from the Massachusetts Institute of Technology. Her laboratory focuses on protein structure-function relationships using biophysical, biochemical, and bioinformatics approaches. Dr. Jeffery's research examines fundamental questions about how protein sequences determine structure and function, with specific interests in moonlighting proteins (proteins with multiple functions), enzyme mechanisms, and membrane protein expression. Her work has applications in drug discovery, cancer biology, and tuberculosis research. Analysis of her recent publications reveals a strong focus on moonlighting proteins, covering their mechanisms, database development, structural analysis, and implications across microbiology, cancer biology, and systems biology. Additional research themes include protein evolution, structural biology techniques, and bacterial membrane proteins. She leads significant educational initiatives including the UICHeart Undergraduate Research Experience and Mentoring Program, which provides cardiovascular research training and professional development for underrepresented students. Professional service includes editorial roles for the Journal of Building Physics and membership in ASHRAE technical committees.

Fernando Sandunمشاهده پروفایل

استاد

• Biomolecular interactions
• Bioenergy engineering
• Biosensing technologies
• +۴ مورد دیگر

Fernando Sandun is the Dow Professor in Bioprocess Engineering and Associate Department Head for Graduate Programs at Texas A&M University's Department of Agricultural and Biological Engineering. He holds a B.S. from the University of Peradeniya (Sri Lanka), and M.S. and Ph.D. from the University of Nebraska–Lincoln. His research focuses on biomolecular interactions, with expertise in enzyme-substrate-ligand systems, protein-ligand interactions for antiviral/antimicrobial applications, catalysis for bioenergy, and surface functionalization. His lab develops tools like the ELIXIR-A platform for molecular dynamics simulations to predict ligand-receptor behaviors, applied to enzyme inhibition, synthetic enzymes, and fuel cell systems. Notable awards include the Thomson-Reuters Highly Cited Researcher (2014), multiple teaching accolades (2010–2015), and the Barbara and Ralph Cox Faculty Fellowship (2013–2014). His work spans antiviral aptamer design (SARS-CoV-2, Dengue), fungicide resistance solutions, and biofuel innovations using methane-oxidizing microbes. His lab’s contributions include the SPAM process for algae dewatering, iron-sulfur-based bioelectrodes, and enzyme immobilization techniques. Ongoing projects address bioremediation, plant pathogen control (Candidatus Liberibacter), and molecular-level engineering of biological systems.

Alejandro Castilloمشاهده پروفایل

دانشیار

• Microbial Food Safety
• Pathogen Control in Fresh Produce
• Food Hygiene Technologies
• +۳ مورد دیگر

Alejandro (Alex) Castillo is an Associate Professor in the Department of Food Science and Technology at Texas A&M University, within the College of Agriculture & Life Sciences. His research focuses on microbial food safety, pathogen control in fresh produce, and antimicrobial technologies. He holds a Ph.D. in Food Science & Technology from Texas A&M University (1998), preceded by degrees from the University of Guadalajara (B.Sc., M.A., M.Sc.). Key research areas include developing control measures for foodborne pathogens, microbial ecology in fresh produce, and food safety innovations such as superhydrophobic coatings and antimicrobial interventions. He collaborates on projects like Agriculture Water Treatment in the Southwest Region and Next-Generation Smart Surfaces for specialty crops. His recent publications emphasize antimicrobial coatings, pathogen survival mechanisms, and food safety training efficacy. He teaches courses like Microbiology of Foods and Food Safety Principles at both undergraduate and graduate levels. Dr. Castillo’s work bridges academic research and industry application, with a focus on improving food hygiene practices and reducing contamination risks in agricultural and food processing environments.

Lu Baiمشاهده پروفایل

استاد

• Chromatin Structure
• Gene Regulation
• Single Molecule Biophysics
• +۴ مورد دیگر

Dr. Lu Bai is the Verne M. Willaman Professor of Biochemistry and Molecular Biology and Professor of Physics at Pennsylvania State University's Eberly College of Science. She holds dual appointments in the Department of Biochemistry and Molecular Biology and the Department of Physics. Her research focuses on chromatin structure and gene regulation, employing single-cell imaging, genetics, genomics, and computational methods. Dr. Bai's lab investigates pioneer factors and long-distance chromosomal interactions, using budding yeast and mammalian systems to study gene expression dynamics and noise. She is affiliated with the Penn State Center for Eukaryotic Gene Regulation and serves on the editorial board of Current Opinion in Genetics & Development . Dr. Bai received her PhD in Biophysics from Cornell University and conducted postdoctoral research at Rockefeller University. She joined Penn State in 2012, advancing to full professor in 2023. Her work integrates multidisciplinary approaches to uncover mechanisms underlying chromatin-mediated gene regulation, including nucleosome displacement and 3D genome organization. The Bai Lab develops innovative tools like the Chemically-Induced Chromosomal Interaction (CICI) method to perturb and study chromosomal conformation. Her research has been published in top journals such as Molecular Cell , Nature Communications , and eLife . While no explicit awards are listed, her endowed chair reflects recognition of her scholarly contributions. She mentors students in the BMMB Graduate Program and collaborates across departments to advance understanding of epigenetic and chromosomal processes.

Tucker Burginمشاهده پروفایل

استادیار

• Enzyme Engineering
• Molecular Simulation
• Computational Chemistry
• +۳ مورد دیگر

Tucker Burgin is an Assistant Professor of Engineering at the Thayer School of Engineering, Dartmouth College. Her research focuses on computational enzyme engineering, integrating molecular simulations and machine learning to advance biotechnology solutions for health, energy, environmental sustainability, and green manufacturing. She earned a BS and MS in Biomedical Engineering from the University of Rochester (2015–2016) and a PhD in Chemical Engineering from the University of Michigan (2021), followed by a postdoctoral fellowship at the University of Washington. Her research interests include enzyme engineering, molecular simulation, computational chemistry, and machine learning applications. Current projects involve circular plastic bioeconomy systems, enzyme engineering for carbon capture, and improving oligosaccharide synthesis methods. The Burgin Lab develops novel methods to extract high-throughput data from atomistic simulations and applies AI-driven approaches to drive biotechnological innovations. She teaches ENGS 25: Introduction to Thermodynamics and ENGG 419: Deep Learning . The lab actively recruits PhD students and postdoctoral researchers, emphasizing interdisciplinary collaboration to address global challenges. Contact her at emme.burgin@dartmouth.edu for inquiries.

Luis Pedro Coelhoمشاهده پروفایل

دانشیار

• Computational Biology
• Microbiome Research
• Antimicrobial Peptides
• +۳ مورد دیگر

Associate Professor Luis Pedro Coelho is a faculty member at Queensland University of Technology (QUT), holding positions in the School of Biomedical Sciences and serving as an ARC Future Fellow. His academic rank is Associate Professor. He earned a PhD in Computational Biology from Carnegie Mellon University, an MSc in Computer Science from Instituto Superior Técnico, and a BSc in Computer Science from the same institution. Research Interests: Coelho’s work focuses on computational biology, microbiome research, and the application of machine learning to study antimicrobial peptides and microbial diversity. His lab explores topics such as antibiotic resistance gene annotation, functional genomics, and bioinformatics tool development. His research has implications for understanding global microbiome dynamics and developing novel antimicrobial therapies. Teaching & Supervision : Coelho teaches scientific communication and software carpentry. He currently supervises research students in topics like microbial small protein discovery and computational methods for microbiome analysis. He has taught programming for scientists at Carnegie Mellon and is a certified Software Carpentry instructor. Awards : Highlights include the Highly Cited Researcher (2022-2023), Zhicheng Teaching Award (2021), Siebel Scholar (2012), and Fulbright Fellowship (2006). His work has been recognized for both academic excellence and innovation in teaching and research. Labs & Affiliations : He leads the Microbiome Research Group at QUT and is affiliated with the Centre for Microbiome Research. His collaborations span institutions like Fudan University (China), the European Molecular Biology Laboratory (EMBL), and the Instituto de Medicina Molecular (Portugal). Grants & Funding : His research is supported by ARC Future Fellowships and grants focused on sustainable bioinformatics software and microbial diversity studies.

Martin Kircherمشاهده پروفایل

پژوهشگر

• Genomics
• Computational Biology
• Bioinformatics
• +۷ مورد دیگر

Martin Kircher is a computational molecular biologist currently leading a research group at the Berlin Institute of Health (BIH), Germany. He previously held research positions at the University of Washington and the Max Planck Institute for Evolutionary Anthropology. His work spans genomics, bioinformatics, and functional genomics, with a focus on understanding the impact of genetic variation. Research Interests: His primary research areas include genomics, computational biology, and evolutionary genetics. He has made significant contributions to ancient DNA analysis, functional genomics, and the development of tools for interpreting non-coding variants. His work integrates high-throughput sequencing, machine learning, and molecular assays to decode regulatory elements and variant pathogenicity. Publication Trends: His recent publications reflect a strong focus on functional genomics, variant interpretation (e.g., CADD), and high-throughput methods like MPRA. He frequently publishes in top-tier journals and contributes to large consortia, indicating collaborative and impactful research in genomic medicine and regulatory biology. Scientific Contributions: He has developed widely used tools such as CADD and IBIS and contributed to landmark studies on Neandertal and Denisovan genomes. His protocols for sequencing library preparation are foundational in the field. Advising and Grants: While no formal list of advisees is provided, he leads a research group and has collaborated extensively. He has been involved in major projects such as the University of Washington's Center for Mendelian Genomics, suggesting substantial grant funding and collaborative leadership. Labs and Teams: He established and leads a computational research group at the Berlin Institute of Health. Previously, he was a key member of Jay Shendure’s lab at the University of Washington and part of Svante Pääbo’s team at the Max Planck Institute, contributing to large-scale genomics initiatives.

Feliu Maserasمشاهده پروفایل

استاد

• Computational Chemistry
• Homogeneous Catalysis
• Density Functional Theory (DFT)
• +۱۲ مورد دیگر

Feliu Maseras is a Professor and Group Leader at the Institute for Chemical Research of Catalonia (ICIQ-CERCA) , where he leads a research group focused on computational chemistry and its application to catalytic processes. His work bridges theoretical modeling and experimental collaboration, particularly in homogeneous catalysis, mechanochemistry, and photocatalysis. Education: PhD in Chemistry, Autonomous University of Barcelona (1991) Postdoctoral Training: Okazaki, Japan (Prof. Morokuma); Montpellier, France (Prof. Eisenstein) Academic Position: Associate Professor, UAB (1998–2004); Group Leader, ICIQ (2004–present) His research interests center on computational homogeneous catalysis , with a strong emphasis on DFT and QM/MM methods . He investigates cross-coupling , C–H activation , photocatalysis , mechanochemistry , and organic electrosynthesis . A key methodological focus is microkinetic modeling to connect computed energies with experimental kinetics, and the discovery of hidden descriptors using statistical analysis of large DFT datasets. The recent publications highlight a strong trend in mechanochemistry , photocatalysis , and transition metal catalysis , with increasing integration of artificial intelligence and data-driven methods . Many studies involve close collaboration with experimental groups, validating computational predictions. Scientific Awards: Rafael Usón Medal (2024) Miguel Catalán-Paul Sabatier Award (2024) Bruker Prize in Physical Chemistry (2011) Chemical Society Lecture Award, RSC (2008) Prof. Maseras has supervised 24 doctoral theses and hosted numerous postdoctoral researchers. His group is currently supported by grants such as the MECHAPHOTOCOMP project (Ministry of Science) and the Beatriu de Pinós fellowship. He serves as Associate Editor of ACS Catalysis and on the Editorial Advisory Board of Chemical Society Reviews . The research group includes PhD students, postdocs, technicians, and administrative staff, fostering a collaborative and interdisciplinary environment. Laboratory and Teams: The Maseras Group at ICIQ operates within a state-of-the-art research infrastructure, utilizing high-performance computing and collaborating with experimental teams across Europe. The group actively develops computational tools and models to advance understanding in sustainable synthesis and catalysis.