جست‌وجوی استاد و پژوهشگر

Chambers C. Hughesمشاهده پروفایل

پژوهشگر

• Microbial Natural Products
• Chemical Biology
• Synthetic Organic Chemistry
• +۳ مورد دیگر

Chambers C. Hughes is a Research Group Leader in the Department of Microbial Bioactive Compounds at the University of Tübingen, Germany. Previously, he held positions as an Assistant Professor at the Scripps Institution of Oceanography (2012–2019) and a postdoctoral researcher with Prof. William Fenical (2005–2012). His research focuses on microbial natural product discovery, synthesis, and chemical biology, particularly employing reactivity-guided isolation and bioactivity-guided approaches to uncover novel bioactive compounds. His group has pioneered methods using chemoselective probes to target metabolites with specific functional groups, enabling the discovery of siderophores, antibiotics, and other secondary metabolites. Education: B.S. in Biochemistry, Geneseo College (1999) Ph.D. in Chemistry, University of California, Berkeley (2004) Research Interests: The Hughes Group explores microbial natural products using cutting-edge techniques like NMR spectroscopy and mass spectrometry. They focus on marine and terrestrial organisms, emphasizing the development of chemical labeling strategies to identify electrophilic compounds (e.g., epoxides, β-lactams) and conjugated alkenes. Their work bridges synthetic chemistry and biological activity, targeting antibiotic discovery, enzyme inhibition, and metabolic pathway elucidation. Notable Contributions: The group has characterized marinopyrroles (protonophoric antibiotics), kasichelins (siderophores), and vatiamides (polyketide natural products). Their methods have revealed artifacts in previously reported natural products and enabled genome-mining approaches to de-orphan biosynthetic gene clusters. Students & Collaborations: Current students include Shu-Ning Xia, Sehee Jang, Luca Salvi, and Max Knab. Collaborations span microbiology, synthetic chemistry, and bioinformatics, with key partners at the University of Tübingen and Scripps Oceanography. Labs & Facilities: The Hughes Research Group operates within the Interfaculty Institute of Microbiology and Infection Medicine, leveraging advanced analytical tools for natural product characterization and synthesis.

Scott Bantaمشاهده پروفایل

استاد

• Protein Engineering
• Metabolic Engineering
• Synthetic Biology
• +۶ مورد دیگر

Scott Banta is the Chair of the Department of Chemical Engineering and a Professor of Chemical Engineering at Columbia University. His research focuses on protein engineering, metabolic engineering, and synthetic biology to address challenges in bioengineering, including biotechnology, nanotechnology, and environmental applications. He leads the Banta Lab, which develops novel biomaterials like calcium-dependent beta-roll peptides for applications in hydrogel formation, bioseparations, and biofuel production. Notable projects include engineering thermostable alcohol dehydrogenases for diverse catalytic functions and founding Ironic Chemicals LLC to create biofuels from copper mining waste. Professional experience includes roles as Professor (2015–present), Associate Professor (2009–2015), and Assistant Professor (2004–2009) at Columbia. Prior to this, he was a postdoctoral researcher at Harvard Medical School (2002–2004). He earned his BSE from the University of Maryland Baltimore County (1997) and MS/PhD from Rutgers University (2000/2002). He holds honors such as AIMBE Fellowship (2016) and the James M. Van Lanen Award (2016). His lab’s work spans enzyme engineering for biofuel production, microbial systems for metal recovery, and synthetic biology tools for cofactor regeneration. Key collaborations include development of protein-nanomaterial interfaces and electrofuels from CO₂. His research has generated over 70 publications, with recent emphasis on biomining microbiology, calcium-responsive peptides, and sustainable metallurgical processes. He serves as Associate Editor of Biotech. Eng. J. and leads the Biochemical Technology Division of the American Chemical Society.

• Microbial Ecology
• Plant-Microbe Interactions
• Mycology
• +۶ مورد دیگر

Dr. Gian Maria Niccolo’ Benucci is a Data Analyst and Bioinformatician at the Great Lakes Bioenergy Research Center (GLBRC) and the Department of Plant, Soil and Microbial Sciences at Michigan State University (MSU). He holds a Ph.D. in Biology and Biotechnology from the University of Perugia, Italy, with expertise in microbial ecology, plant-microbe interactions, and mycology. His research focuses on holobiont dynamics, microbial community responses to environmental changes, and microbiome manipulation to enhance host health. He has published over 55 peer-reviewed articles and collaborates with 160+ researchers globally. Dr. Benucci's work integrates genomics, bioinformatics, and machine learning to study microbiome structure and function across ecosystems. He co-leads GLBRC's bioinformatics support hours and is involved in the National Microbiome Data Collaborative. His teaching includes courses like Statistics for Biologists (STT464) and modules in Advanced Mycology . Key research areas: Mycorrhizal symbioses, truffle microbiome dynamics, and sustainable agriculture practices. His contributions span from fungal systematics (e.g., Tuber rugosum discovery) to bioenergy crop optimization.

• Bioinformatics
• Machine Learning
• Computational Biology
• +۷ مورد دیگر

Jan Baumbach is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he leads cutting-edge research at the intersection of computer science, bioinformatics, and biomedical data science. His work integrates machine learning, network biology, and systems medicine to address complex challenges in health and disease. His research interests include Bioinformatics , Machine Learning , Gene Regulatory Networks , Drug Repositioning , Biomedical AI , and Computational Biology . He applies advanced computational methods to analyze large-scale biological data, with applications in cancer, metabolic diseases, dermatology, and infectious diseases. The 15 most recent publications highlight a strong trend toward biomedical artificial intelligence , network-based analysis , and translational bioinformatics . His work spans from foundational machine learning in healthcare to clinical applications in osteoarthritis, bone regeneration, and skin biology. A consistent theme is the integration of multi-omics data and the development of privacy-preserving federated learning frameworks for distributed healthcare systems. Jan Baumbach has been principal investigator on several major research projects, including: EU Horizon2020: Privacy-preserving federated machine learning in distributed healthcare Danish National Research Foundation: ATLAS Center for Functional Genomics of Tissue Plasticity Villum Foundation: Big Data Bioinformatics (Young Investigator Programme) Carlsberg Foundation: Computational profiling of bacterial volatile metabolomes (ProVol) He has supervised 13 PhD students and has an extensive publication record of 262 works. His research has been featured in high-profile media outlets, emphasizing the societal impact of drug repositioning and AI in medicine. He leads a research group focused on computational systems biology , with strong collaborations across Europe in the fields of genomics, metabolomics, and clinical data science.

Jinchuan Xingمشاهده پروفایل

استاد

• Mobile Elements
• Human Genomic Variation
• Evolutionary Genetics
• +۱۴ مورد دیگر

Jinchuan Xing is a Professor at Rutgers, The State University of New Jersey, where he leads the Xing Lab of Genomics. His research focuses on human genomic variation, mobile DNA elements, evolutionary and population genetics, and their implications for human disease. He integrates computational and experimental methods to study genome-wide variation, with applications in disease gene identification and genomic technology development. His research interests include: Mobile DNA element biology Human demographic history and population diversity Disease gene identification using whole-exome and whole-genome sequencing High-altitude adaptation genetics Transposable element regulation and expression piRNA and small RNA pathways His recent publications highlight a strong trend in reproductive genomics, particularly in identifying genetic risk factors for embryo aneuploidy in IVF patients, using advanced sequencing technologies. Other work spans evolutionary genomics in diverse species (bats, moths, Drosophila), structural variation in neurodevelopmental disorders, and proteogenomic discovery. His lab actively develops and applies bioinformatic tools for variant analysis and gene prioritization. Scientific awards and honors are not explicitly mentioned in the provided text. Jinchuan Xing advises several graduate students, including Nan Wang, Siqi, Ellie Lu, and Tongji Xing. His lab has received significant funding, including an R01 grant from NICHD on aneuploidy risk, a grant from the Center for Human Evolutionary Studies, and a Life Sciences Alliance Pilot Seed Funding grant in collaboration with the Department of Statistics. These grants support research in fertility genomics, disease gene discovery, and genomic tool development. The Xing Lab of Genomics is an active research group conducting interdisciplinary studies combining genomics, bioinformatics, and molecular biology. The lab welcomes new members regularly, including master’s and PhD students, and collaborates across departments. Current projects include understanding the genetic basis of meiosis, fertility, and high-altitude adaptation, as well as developing Markovian gene networks for disease gene discovery.

Jouni Järvinenمشاهده پروفایل

مدرس

• Rough Set Theory
• Lattice Theory
• Non-Classical Logics
• +۴ مورد دیگر

Jouni Järvinen is a University Lecturer in Software Engineering at LUT University in Lahti, Finland, and a Docent in the Department of Mathematics and Statistics at the University of Turku. He holds a PhD in Mathematics and serves as a Mathematics Consultant at TXODDS. His work bridges theoretical and applied research across multiple domains. Affiliations : LUT School of Engineering Sciences, University of Turku Education : PhD in Mathematics Research Interests lie at the intersection of Rough Set Theory , Lattice Theory , and Non-Classical Logics . He explores algebraic structures like Nelson algebras, Kleene algebras, and Galois connections, applying them to problems in Artificial Intelligence and Bioinformatics . His work often connects abstract mathematical frameworks to practical applications in Information Systems and Machine Learning . Publication Trends reveal a focus on Rough Sets and Algebraic Structures across 51 works (2025–1998). Recent studies (2025–2020) examine multigranular rough sets, pseudocomplemented Kleene algebras, and relational correspondences for fuzzy rough approximations. Earlier works (2015–2007) address topics like Tolerance-Based Rough Sets , Galois Connections , and Natural Language Disambiguation . Peer Review Activities include contributions to journals such as Fuzzy Sets and Systems , International Journal of Approximate Reasoning , and Studia Logica . His research spans Theoretical Computer Science , Mathematical Logic , and Biomedical Data Analysis .

• Computational Biology
• Gene Expression Analysis
• Schizophrenia Research
• +۵ مورد دیگر

Tade Souaiaia serves as Assistant Professor of Cell Biology at SUNY Downstate Health Sciences University's School of Graduate Studies. His research integrates computational biology with mental health investigations, focusing on gene expression dynamics in development and psychiatric disorders. He teaches graduate-level statistics and algorithm analysis courses delivered virtually via YouTube. Dr. Souaiaia's primary research centers on computational method development for multi-omics integration (gene expression, isoform-level data, microRNA, ChIP-Seq) to unravel schizophrenia etiology. His secondary research applies kinematic modeling to athletic performance (sprint/long jump), connecting cellular mechanisms with environmental training models. This dual focus bridges molecular neuroscience with practical biomechanics applications. Analysis of his 2020-2025 publications reveals three dominant research trajectories: (1) Psychiatric genetics through multi-ancestry studies of autism/schizophrenia, (2) Polygenic risk score innovation (notably BridgePRS for cross-ancestry portability), and (3) Primate neurogenomics investigating anxious temperament via orbitofrontal cortex and amygdala transcriptomics. His work consistently emphasizes translational applications of computational genomics to mental health. No scientific awards were documented in the provided materials. Dr. Souaiaia teaches Scientific Computing in Python (GRSC 6974) and Graduate Statistics (GRSC 0120), with virtual instruction accessible on YouTube. While specific grant details and student advising records are unreported, his laboratory actively develops computational frameworks for psychiatric genomics. His research program demonstrates strong interdisciplinary collaboration between neuroscience, psychiatry, and bioinformatics teams. He leads a research laboratory specializing in computational analysis of multi-omics datasets, with particular emphasis on primate brain tissue studies. The lab develops novel algorithms for integrating genomic, transcriptomic, and epigenomic data to model mental health disorders, maintaining active partnerships with neuroscience and clinical psychiatry research groups.

Jennifer Reedمشاهده پروفایل

استاد

• Systems Biology
• Metabolic Engineering
• Microbial Interactions
• +۱۲ مورد دیگر

Jennifer Reed is the Karen and William Monfre Professor and Harvey D. Spangler Faculty Scholar at the University of Wisconsin Madison College of Engineering , with primary and additional affiliations in the Department of Chemical and Biological Engineering and Biomedical Engineering . Her research focuses on systems biology, metabolic engineering, and microbial interactions using computational and experimental approaches. Her work involves metabolic flux analysis , constraint-based modeling , and genotype-phenotype relationships , with applications in bioremediation , health , and chemical production . The research integrates experimental data to refine microbial network models and develop strain design algorithms. Recent articles highlight trends in computational methods for strain design , metabolic engineering , and microbial community analysis . Funding sources include the National Science Foundation , U.S. Department of Energy , and Gordon and Betty Moore Foundation , among others. Grants and research support include funding from the National Science Foundation , U.S. Department of Energy , Great Lakes Bioenergy Research Center , W.M. Keck Foundation , SERDP , and Gordon and Betty Moore Foundation .

• Toxicology
• Pharmacology
• Renal Toxicology
• +۵ مورد دیگر

Tara McMorrow is an Associate Professor of Pharmacology and Toxicology at University College Dublin's School of Biomolecular and Biomedical Science and a Conway Research Fellow. She serves as Director of the UCD Centre for Toxicology and Academic Director of graduate programs in Toxicology and Regulatory Affairs. Previously, she was Associate Dean of Science (2019-2024) and Chair of the UCD Academic Council Committee on Student Appeals and Complaints. Dr. McMorrow earned her BSc and PhD in Science from NUI Galway, with her 1995 PhD focusing on molecular biology funded by Enterprise Ireland. She completed postdoctoral work at Erasmus University in Rotterdam and at UCD before being appointed Lecturer in Pharmacology in 2005. She was promoted to Senior Lecturer in 2014 and Associate Professor in 2016. She also earned a Graduate Diploma in University Teaching and Learning from UCD in 2013. Her research focuses on toxicology and the development of new approach methodologies (NAMs) in toxicity testing, with particular expertise in renal toxicology, chemical carcinogenesis, primary cilia biology, and biomarker discovery. Her work bridges basic science and clinical applications, examining mechanisms of kidney injury, diabetic nephropathy, and renal cancer. Analysis of her recent publications reveals strong emphasis on natural compounds like curcumin for cancer therapy, primary cilia as biomarkers for renal injury, and mechanisms of chemical-induced kidney damage. Dr. McMorrow has received numerous teaching awards including Teacher of the Year in 2013 and 2016, and has been recognized with UCD Seed Funding. She serves as an expert member of the Food Safety Authority of Ireland's Chemical Safety sub-committee and is active in professional organizations including the Irish Society of Toxicology (where she served as President 2016-2018) and the European Society of Toxicologists. She actively teaches across multiple disciplines including Science, Medicine, Nursing, and graduate programs in Toxicology, Regulatory Affairs, and Biotechnology. Her leadership extends to curriculum development as she was previously the Curriculum Review and Enhancement Project Champion for graduate taught programs in the College of Science (2015-2017).

Elisha Kriegمشاهده پروفایل

استادیار

• DNA Nanotechnology
• Programmable Materials
• Biomaterials
• +۳ مورد دیگر

Dr. Elisha Krieg serves as Group Leader at the Leibniz Institute for Polymer Research Dresden and TUD Young Investigator at Dresden University of Technology, Germany. Her research pioneers programmable biomaterials using DNA nanotechnology for advanced biomedical applications, bridging synthetic polymer science with biological complexity. Her academic foundation includes: Ph.D. in Chemistry, Weizmann Institute of Science, Israel (2013) M.Sc. in Chemistry, Weizmann Institute of Science, Israel (2009) Vordiplom in Chemistry, University of Cologne, Germany (2006) Krieg's work centers on developing DNA-based nanomaterials that translate nanoscale programmability to macroscopic functional materials. Her group designs synthetic polymers functionalized with DNA modules to create reconfigurable platforms for diagnostics, tissue engineering, and nucleic acid purification. This approach leverages DNA's molecular precision to overcome limitations of conventional synthetic polymers, enabling dynamic biomaterials that respond to biological cues. Recent publications reveal a clear trajectory toward clinical translation, with 12 of 15 recent papers focusing on DNA-encoded hydrogels for cell culture matrices and nucleic acid diagnostics. The research spans fundamental supramolecular chemistry to applied biomedical engineering, emphasizing scalability and point-of-care compatibility. Key recognition includes: HFSP Postdoctoral Fellowship during Harvard tenure Krieg actively recruits MSc/PhD students through DIGS-BB and secures competitive funding including the TUD Young Investigator program. Her mentorship emphasizes interdisciplinary training in polymer chemistry, molecular biology, and nanomaterial characterization. Current grants support three core application areas: DNA/RNA purification for sequencing diagnostics, dynamic 3D cell culture matrices, and pathogen detection systems. The Krieg Group operates within the Max Bergmann Center of Biomaterials, utilizing advanced facilities for DNA nanotechnology, polymer synthesis, and nanomaterial characterization including cryo-EM and rheology.

Chao Sunمشاهده پروفایل

دانشیار

• Neurobiology
• Molecular Cell Biology
• Nanotechnology and Nanoscience
• +۵ مورد دیگر

Chao Sun is an Associate Professor affiliated with multiple departments at Aarhus University , including the Department of Molecular Biology and Genetics, DANDRITE, the Interdisciplinary Nanoscience Center (INANO-MBG), and the Department of Biomedicine. His research integrates neurobiology , molecular cell biology , and nanotechnology , focusing on proteostasis, synaptic regulation, and advanced imaging techniques. PhD in Chemistry from Cornell University (2013-2018) Research interests include: Cellular neurobiology Proteostasis and protein turnover Super-resolution microscopy applications Proteomics of neuronal compartments Synaptic biology and plasticity Article trends reveal expertise in: Proteasome dynamics in synapses Multi-omics approaches to subcellular protein synthesis Single-molecule imaging in synaptic contexts Quantitative analysis of neuronal protein turnover Collaborations include leading researchers like Poul Nissen and Erin Schuman, with publications in high-impact journals such as Science and Current Opinion in Neurobiology . His work bridges molecular neuroscience with cutting-edge nanoscale imaging technologies.

Gilberto E Floresمشاهده پروفایل

دانشیار

• Microbial Ecology
• Human Gut Microbiome
• Environmental Microbiology
• +۳ مورد دیگر

Gilberto E Flores serves as Associate Professor in the Department of Biology at California State University, Northridge (CSUN), teaching advanced courses including Microbial Ecology (BIOL 419), its laboratory component, Field Studies in Microbial Ecology (BIOL 492C), and Biology Colloquium (BIOL 692). His academic foundation includes a Ph.D. from Portland State University (2011), M.S. from University of Idaho (2006), and B.S. from Humboldt State University (2001). Dr. Flores' research spans microbial ecology with dual emphases on human-associated and environmental systems. His laboratory investigates Akkermansia-milk oligosaccharide interactions in infant gut microbiomes while simultaneously examining agricultural microbiomes on tree fruits. This interdisciplinary approach bridges medical microbiology and food safety research through genomic, metabolic, and ecological methodologies. His work reveals how microbial communities respond to environmental variables including diet, disease, harvest timing, and seasonal changes. Recent publications (2023-2025) demonstrate three converging research trajectories: 1) Gut microbiome dynamics in health and disease (particularly Akkermansia physiology and infant microbiome development), 2) Agricultural microbiome shifts across harvest cycles, and 3) STEM education innovation during pandemic disruptions. This triad reflects his commitment to both fundamental microbial ecology and practical applications in human health and food systems. Through the BUILD PODER program, Dr. Flores actively mentors undergraduates in research methodology and science identity development. His tutorial studies (BIOL 490) provide individualized research training while colloquium participation exposes students to cutting-edge scientific discourse. This mentoring philosophy emphasizes critical mentorship as foundational for building scientific self-efficacy among underrepresented students. Dr. Flores operates within CSUN's BUILD PODER initiative, which provides infrastructure for undergraduate research experiences. His laboratory work combines microbial culturing, genomic analysis, and ecological modeling to investigate host-microbe-environment interactions across diverse systems from human guts to fruit surfaces.

Serena Sannaمشاهده پروفایل

پژوهشگر

• Genetics
• Microbiome
• Genome-Wide Association Study
• +۵ مورد دیگر

Serena Sanna, PhD , is a researcher at the Faculty of Medical Sciences of the University of Groningen, affiliated with the Groningen Institute for Gastrointestinal Genetics and Immunology (3GI) . She contributes to UN Sustainable Development Goals through work on genetics, microbiome, and complex disease mechanisms. Expert in genetics and microbiome research Specializes in genome-wide association studies and Mendelian randomization Research Focus : Host genetic regulation of gut microbiome composition, causal relationships between microbiome and diseases (e.g., endometriosis, hemorrhoidal disease), and integration of metabolomics with immune phenotypes. Her work involves large-scale biobank studies like the Lifelines Cohort . Scientific Awards : Donna di Scienza 2023 Prize Guido Dorso Prize (2018) Highly Cited Researcher (2018) ESHG Meeting Young Scientist Award (2008) Recent Publications : 2025 studies on MBL pathway/microbiome in endometriosis and age-related microbiome effects; 2024 works on hepatic fat genetics, diverticular disease comorbidities, and structural microbiome variation. Active in multi-omics and data integration methodologies.

• Plant Physiology
• Biochemistry
• Redox Regulation
• +۵ مورد دیگر

Prof. Dr. Karl-Josef Dietz holds a Professorial Chair (C4) in Biochemistry and Physiology of Plants at the Faculty of Biology, Bielefeld University since 1997. He is Head of the working group 'Biochemistry and Physiology of Plants' at the Center for Biotechnology (CeBiTec). His academic career spans prestigious institutions including Julius-Maximilians-Universität Würzburg (where he completed his PhD and Habilitation), Harvard University (postdoc position), and numerous international research stays in France, Japan, and the USA. Prof. Dietz's research focuses on plant stress responses, redox regulation, and photosynthesis. His work explores how plants acclimate to multiple environmental stresses through molecular signal integration, with particular emphasis on reactive oxygen species (ROS) signaling, thiol peroxidases, and oxylipin pathways. His laboratory investigates the mechanisms of redox regulation in chloroplasts and mitochondria, stress sensing, and plant defense responses against pathogens and abiotic challenges. His recent publications reveal a strong focus on redox biology, stress acclimatization mechanisms, and the role of peroxiredoxins in plant stress responses. His work spans both fundamental biochemical investigations and applied research in plant protection and stress tolerance. Scientific Awards and Recognition: Science Prize of the University Foundation Würzburg (1985) Gay-Lussac-Humboldt Prize (2012) Prof. Dietz has served in numerous leadership roles including Dean of the Faculty of Biology (2004-2006), President of the German Botanical Society (2012), and as a member of the Science Board of the German Research Foundation (DFG). He serves on the editorial boards of several prestigious journals including Journal of Experimental Botany, Physiologia Plantarum, and Plant Physiology. His professional activities demonstrate extensive involvement in national and international scientific communities, including the German Society of Botany, the American Society of Plant Biologists, and the Federation of European Societies of Plant Biology.

Hugh Chipmanمشاهده پروفایل

استاد

• Statistical Learning
• Data Mining
• Bayesian Methods
• +۵ مورد دیگر

Hugh Chipman is a Professor in the Department of Mathematics and Statistics at Acadia University , Canada. He holds a BScH (Acadia), MMath and PhD (University of Waterloo), and is a P.Stat. member of the Statistical Society of Canada. Education: BScH, Acadia University MMath, University of Waterloo PhD, University of Waterloo P.Stat. (Professional Statistician) Research Interests: Dr. Chipman specializes in statistical learning and data mining with applications to complex data structures. Key areas include Bayesian ensemble methods , tree-based models , design of experiments , network analysis , and high-dimensional data problems. He has contributed to drug discovery and functional data monitoring through computational statistics. Recent Talks: His 2024 presentation at UNC Chapel Hill focused on simulation studies for experimental design. Earlier work (2015) addressed big data education at Dalhousie University, while 2011-2014 talks covered active learning and network data mining at institutions like Harvard and MITACS. Scientific Awards: Co-organizer of NSERC-funded workshops Contributed to major statistical learning summer schools (e.g., AARMS 2014) Teaching: Courses include Statistics I and Design and Analysis of Experiments . He maintains software tools like BART (Bayesian Additive Regression Trees) and hybrid hierarchical clustering algorithms.