جستجوی استاد راهنمای دانشگاهی

Xuefeng Nick Pengمشاهده پروفایل

استادیار

• Biogeochemistry
• Geochemistry
• Climate Change
• +۴ مورد دیگر

Xuefeng Nick Peng is an Assistant Professor at the School of the Earth, Ocean & Environment within the College of Arts and Sciences at the University of South Carolina. His research bridges microbial ecology and geochemistry to study complex interactions between microorganisms and their environments in marine systems. Biogeochemistry Geochemistry Climate Change Coastal Processes Earth Systems Marine Ecology Oceanography Peng employs laboratory techniques (e.g., mass spectrometry, microbial cultivation), field sampling (e.g., oxygen minimum zones, salt marshes), and computational methods (e.g., bioinformatics, numerical modeling) to investigate microbial roles in nutrient cycling and environmental dynamics. His recent work focuses on nitrogen cycling, fungal adaptations in extreme marine environments, and microbial contributions to biogeochemical processes. The 15 most recent publications highlight his contributions to understanding nitrogen transformations in marine sediments, fungal diversity in oxygen minimum zones, and genomic adaptations of anaerobic microbes. Key themes include climate change impacts, biogeochemical feedbacks, and microbial community responses to environmental stressors. Peng’s lab has mentored multiple students, including Margaret Bernish (Master’s thesis), Sydney Staines (Honors thesis), Dylan Lane (Poster Presentation Award), and others who have received scholarships and fellowships. His outreach efforts include collaborations with the Riverbanks Zoo & Garden and field trips at the Baruch Marine Field Lab.

Xudong Heمشاهده پروفایل

استاد

• Software Engineering
• Formal Methods
• Petri Nets
• +۲ مورد دیگر

Dr. Xudong He is a Professor at Florida International University's Knight Foundation School of Computing and Information Sciences. With research expertise in software engineering and formal methods, he is internationally recognized for contributions to Petri net theory. He has published over 150 papers and served on 80+ conference committees, with research funded by NSF, NASA, ONR, AFRL, and DOE. He received BS (1982) and MS (1984) degrees from Nanjing University, and a PhD from Virginia Tech (1989). Before joining FIU in 2000, he spent ten years at North Dakota State University. Professional service includes editorship for Transactions on Petri Nets and Other Concurrency Models and organization of major simulation conferences. Honors include multiple FIU research excellence awards (2005, 2008, 2009), service recognition (2006, 2013), and best paper awards. His seminal publications include comprehensive surveys of Petri net modeling and formal specifications of software architectures using SAM.

• Epidemiology
• Cardiovascular Disease
• Diabetes Research
• +۶ مورد دیگر

April Carson is an Adjunct Associate Professor in the Department of Epidemiology at the University of Alabama at Birmingham (UAB) School of Public Health. She maintains multiple concurrent appointments at UAB including as a Scientist in the Center for Clinical and Translational Science and the UAB Center for Study of Community Health. Her research focuses on cardiovascular disease, diabetes, and health disparities with particular emphasis on racial and geographic differences in disease outcomes. Doctor of Philosophy, Epidemiology from University of North Carolina at Chapel Hill (2006) Master of Science in Public Health, Epidemiology from University of North Carolina at Chapel Hill (2001) Bachelor of Science in Microbiology/General from University of Georgia (1999) Dr. Carson's research spans multiple domains of epidemiology with particular focus on cardiovascular health disparities, diabetes epidemiology, and genetic determinants of chronic disease. Her work often examines racial differences in disease outcomes and incorporates social determinants of health into risk prediction models. She has made significant contributions to understanding how genetic factors interact with environmental exposures to influence cardiovascular disease and diabetes risk, with particular attention to populations of African ancestry. Her methodological expertise includes analysis of large cohort studies, genetic epidemiology, and development of risk prediction models. Analysis of Dr. Carson's recent publications (2024-2025) reveals a strong focus on integrating multi-omics approaches with traditional epidemiology to understand cardiovascular and metabolic disease mechanisms. Her work frequently utilizes data from large cohort studies including REGARDS, CARDIA, and TOPMed. A notable trend is her increasing focus on incorporating social determinants of health into traditional clinical risk prediction models, particularly for diabetes and cardiovascular disease. Her research also demonstrates sophisticated methodological approaches including epigenome-wide association studies, rare variant analysis, and machine learning applications in epidemiology. UAB Healthcare Leadership Academy (2017) Finalist, President's Award for Excellence in Teaching (2015) Dr. Carson has served on numerous dissertation committees and advised graduate students in epidemiology. Her extensive grant portfolio demonstrates significant research funding from multiple sources including NIH, American Heart Association, and AMGEN. Her grants primarily focus on cardiovascular disease, diabetes, and health disparities research, often examining racial differences in disease outcomes. She has been involved in major longitudinal studies including the REGARDS study, CARDIA study, and Jackson Heart Study. Dr. Carson also participates in several collaborative research centers including the UAB Diabetes Research Center and the Comprehensive Diabetes Center. Dr. Carson is actively involved in multiple research teams and collaborative networks including the Trans-Omics for Precision Medicine (TOPMed) program, the REGARDS study, and the Jackson Heart Study. She serves on various committees related to cardiovascular research and health disparities, including committees with the American Heart Association. Her collaborative network extends across multiple institutions, reflecting her role in large multi-center studies examining cardiovascular disease and diabetes in diverse populations.

Stefan Hüttelmaierمشاهده پروفایل

استاد

• Molecular Biology
• Cancer Biology
• RNA Biology
• +۳ مورد دیگر

Stefan Hüttelmaier is a Full Professor of Molecular Cell Biology at Martin-Luther University Halle-Wittenberg, Germany. He leads the Core Facility Imaging at the Charles Tanford Protein Center and directs research into RNA-binding proteins' roles in cancer. His career includes postdoctoral work at Albert Einstein College of Medicine and leadership roles in the RTG 1591 research group. His work focuses on RAVER1 protein dynamics, perinucleolar compartments, and RNA metabolism in cancer progression. Education: PhD in Biotechnology (2000, University of Braunschweig), postdoctoral training at Albert Einstein College of Medicine (2001–2004). Academic milestones include Associate Professor (2009) and Full Professor (2014) positions. Research spans RNA-protein interactions, cancer biology, and translational mechanisms in tumors. Key research interests include RNA-binding proteins' roles in cancer (RAVER1, IGF2BP1), alternative splicing, and miRNA regulation. His lab investigates how these molecules influence cancer cell behavior, metastasis, and therapeutic resistance. Recent work highlights druggable targets like IGF2BP1 and mechanisms linking RNA modifications to oncogenesis. Leadership roles include RTG 1591 speaker and Core Facility director. Publications emphasize RNA biology in cancer, with contributions to understanding post-transcriptional control and therapeutic strategies targeting RNA pathways. His interdisciplinary approach combines molecular biology, biochemistry, and computational modeling to address clinical challenges in oncology.

Huixuan Wuمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Experimental Technology
• Multiphase Flow
• +۴ مورد دیگر

Huixuan Wu is an Associate Professor in the Department of Mechanical Engineering at the Florida A&M University-Florida State University College of Engineering. Their research focuses on fluid mechanics, experimental technology, multiphase flow, turbulence, and statistical mechanics. They hold a Ph.D. and M.S. in Mechanical Engineering from Johns Hopkins University (2011 and 2008, respectively). Notable achievements include the NSF CAREER Award and the Alexandra von Humboldt Scholarship. Research contributions span magnetic particle tracking technologies, turbulence analysis, and flow visualization techniques. Dr. Wu has also explored interdisciplinary applications such as wind sensing using UAVs and the statistical mechanics of income inequality. Publications highlight advancements in neural network-based algorithms for particle tracking, persistent homology methods in turbulent flows, and acoustic liner performance simulations. Their work bridges computational modeling, experimental fluid mechanics, and machine learning, with applications in aerospace and biomedical engineering. Labs and collaborations involve experimental setups for granular flow analysis and aerodynamic noise mitigation. Advising focuses on graduate students exploring fluid dynamics and related interdisciplinary topics.

Maitreyi Dasمشاهده پروفایل

دانشیار

• Cell Biology
• Molecular Biology
• Cytokinesis
• +۵ مورد دیگر

Maitreyi Das is an Associate Professor and Graduate Program Director in the Department of Biology at Boston College. She relocated her lab from the University of Tennessee-Knoxville to Boston College in 2022 and is based in Higgins Hall. Her research focuses on understanding the molecular mechanisms governing cell shape and cytokinesis in Schizosaccharomyces pombe (fission yeast), with a particular emphasis on the roles of Cdc42 and Rho family GTPases in cell polarity and division coordination. Her work integrates live-cell imaging, genetic approaches, and collaborations with engineers/mathematicians to model regulatory networks. Key projects include defining spatiotemporal activation patterns of Cdc42 during cytokinesis, investigating how septum formation coordinates with actomyosin ring constriction, and exploring cell polarization dynamics post-division. Her lab is funded by the NSF and NIH and has produced over 20 peer-reviewed articles since 2005. Collaborations include work with Francesc Verde and Dario Vavylonis. Students advised include Udo Onwubiko (PhD 2022, now at UNC-Chapel Hill), Bethany Campbell, Brian Hercyk, and others. Research highlights include discoveries on Cdc42/Rho1 crosstalk, GEF/GAP coordination in cytokinesis, and phosphorylation-dependent Gef1 regulation.

Anjon Audhyaمشاهده پروفایل

استاد

• Membrane Biology
• Cellular Trafficking
• Vesicle Biogenesis
• +۳ مورد دیگر

Dr. Anjon Audhya is a Professor in the Department of Biomolecular Chemistry at the University of Wisconsin-Madison. His research focuses on understanding regulatory mechanisms governing vesicle biogenesis and membrane remodeling in the endocytic and secretory pathways. He joined the ERP Program in 2012 and teaches courses on Responsible Conduct of Research for biomedical students. Education: B.S., Brown University (1997) Ph.D., University of California-San Diego (2002) Postdoctoral position at the Ludwig Institute for Cancer Research Research Interests: His laboratory investigates molecular mechanisms underlying membrane trafficking, particularly focusing on COPII-mediated ER export, ESCRT machinery, and TFG-mediated secretory pathways. Recent work explores the role of these pathways in neurodegeneration and infectious diseases like toxoplasmosis. Publications: His research spans structural biology, cellular dynamics, and disease mechanisms, with notable contributions to understanding ER-Golgi transport and TFG's role in axonal maintenance. Recent trends emphasize translational applications in gene therapy and disease modeling. Advising/Grants: Trained two ERP students (Erin Slosarek McMillan and Lei Wang). Active in securing grants for membrane biology research. Labs/Teams: Leads a multidisciplinary lab integrating biochemistry, cell biology, and genetic approaches to study membrane systems.

• Microbial Genetics
• Genomics
• Bioinformatics
• +۴ مورد دیگر

Dr. Madhusudan Choudhary is a Professor in the Department of Biological Sciences at Sam Houston State University. He holds a Ph.D. from McMaster University and completed post-doctoral training at Duke University. His research laboratory focuses on microbial genetics, genomics, and bioinformatics using Rhodobacter sphaeroides as a model organism to study bacterial cell-cycle regulation, metabolic innovations through gene duplication, and the evolution of genomic complexity in prokaryotes. Key investigations include chromosome replication origins, duplicate gene expression patterns, and the functional specialization of multipartite genomes. Dr. Choudhary's research spans diverse areas including bacterial responses to microgravity, CRISPR-Cas systems, heavy metal resistance mechanisms, and nanoparticle interactions. He directs studies on transcriptomics under stress conditions and develops computational methods for genome analysis. His work has significant implications for understanding microbial evolution and environmental adaptation.

LIU Boxiangمشاهده پروفایل

استادیار

• Genomics
• Bioinformatics
• Machine Learning
• +۳ مورد دیگر

Asst Prof LIU Boxiang holds the position of Assistant Professor and NUS Presidential Young Professorship at the Department of Pharmacy and Pharmaceutical Sciences, National University of Singapore (NUS), within the Faculty of Science. His research focuses on integrating multi-omics approaches with computational methods to study complex diseases such as coronary artery disease and age-related macular degeneration. He specializes in developing statistical and machine learning tools for genomic analysis, including eQTL mapping and deep learning architectures for gene expression regulation. Education: BA in Biophysics (Illinois Wesleyan University), MS and PhD in Bioinformatics (Stanford University). He contributed to the GTEx consortium and is part of the Asian Immune Diversity Atlas (AIDA) initiative. His lab develops methods like ANTseq for ancestry determination and scPrediXcan for cell-type-specific transcriptome studies. Research Interests: Functional genomics, eQTL analysis, deep learning in biomedicine, and computational tools for omics data integration. His work bridges disciplines such as natural language processing and computer vision with biological questions. Scientific Awards: NUS Presidential Young Professorship (2021). His lab's innovations include ParaMed, a biomedical translation dataset, and LinearDesign for optimized mRNA stability. Advising and Grants: Leads the Liu Lab (boxiangliulab.com), focusing on single-cell genomics, mitochondrial dynamics, and computational biomedicine. Collaborates on projects like the RESET cohort study for cardiovascular disease prevention.

• Environmental Biotechnology
• Wastewater Treatment Processes
• Quantum Computing Applications
• +۶ مورد دیگر

Po-Heng (Henry) Lee is an Associate Professor in the Department of Civil and Environmental Engineering at Imperial College London, part of the Faculty of Engineering. His research focuses on wastewater engineering, environmental biotechnology, and quantum computing applications in microbial systems. He leads the Industrial Biotechnology Hub, Microbiome Network, and Quantum Engineering, Science and Technology initiatives. Dr. Lee holds a PhD from Iowa State University (2010) and earlier degrees from institutions in Taiwan. His academic career includes roles at Hong Kong Polytechnic University (2012-2018) and Inha University (2010-2012) before joining Imperial College in 2019. His research integrates quantum information theory with environmental engineering, exploring electron transfer mechanisms, anaerobic digestion optimization, and water reuse in AI/semiconductor contexts. Techniques include quantum computing platforms (IBM Qiskit, Xanadu), meta-omics, and Gaussian Bosonic Sampling. Key application areas include enhancing antibiotic and nitrogen removal via microbiome-conductive material interactions, smart chemical dosing for industrial cooling systems, and optimizing full-scale wastewater plants. His work bridges quantum mechanics and microbial ecology to address sustainability challenges. Dr. Lee's lab develops innovative solutions for resource recovery, greenhouse gas reduction, and bioplastic production. Major collaborations focus on AI-driven process control and semiconductor manufacturing wastewater treatment.

Ashley Wolfمشاهده پروفایل

استادیار

• Gut microbiome composition
• Microbial metabolism
• Bacterial competition
• +۳ مورد دیگر

Ashley Wolf is an Assistant Professor at the University of California, Berkeley, holding a joint appointment in the School of Public Health and the Center for Computational Biology. Her research focuses on understanding gut microbiome composition and its roles in mammalian health, particularly exploring diet, microbial competition, and host factors influencing microbiome structure. Education: PhD in Systems Biology from Harvard University (2010s), AB in Molecular Biology from Princeton University (2000s) Her lab integrates human microbiome data, laboratory models, and computational methods to design microbial therapeutics. Key research areas include microbial metabolism of dietary components, bacterial competition dynamics, and microbiome impacts on host physiology. Selected publications highlight work on microbiome bioremediation, bile acid-glucose metabolism links, and mitochondrial RNA processing in human and model organisms. No awards explicitly listed, though her work aligns with emerging trends in systems biology and public health.

• Water Quality
• Wastewater Treatment
• Water Recycling
• +۲ مورد دیگر

Professor Stuart Khan is Head of School and Professor in the School of Civil Engineering at the University of Sydney. He has secured funding for over 40 major competitive research projects and published over 200 peer-reviewed papers on water quality and treatment. His research encompasses drinking water, wastewater, recreational water systems, water recycling, and desalination. Research focuses on: Advanced water treatment technologies Fate and transport of contaminants Water recycling safety frameworks Sustainable sludge management practices Emerging contaminant remediation Publication analysis reveals strong focus on PFAS remediation, nature-based water treatment systems, wastewater epidemiology, and sustainable sludge management across international contexts. Recent work increasingly employs machine learning and Bayesian modeling for water quality prediction. Honors include professional fellowships: FIEAust (Engineers Australia) FTSE (Australian Academy of Technological Sciences) FRSN (Royal Society of New South Wales) FRSC (Royal Society of Chemistry)

Ellis Patrickمشاهده پروفایل

دانشیار

• Bioinformatics
• Biomedical Data Science
• Statistical Bioinformatics
• +۶ مورد دیگر

Associate Professor Ellis Patrick is an applied statistician and bioinformatician affiliated with the University of Sydney's School of Mathematics and Statistics, the Westmead Institute for Medical Research, and the Sydney Precision Data Science Centre. His research focuses on developing bioinformatics tools to analyze high-dimensional biomedical data, with applications in disease treatment, precision medicine, and understanding molecular drivers of conditions like Alzheimer’s, MS, and cancer. He holds a PhD from the University of Sydney and postdoctoral experience at Harvard Medical School and The Broad Institute. Education: PhD in statistical bioinformatics from the University of Sydney. Postdoctoral training included joint appointments at Brigham and Women’s Hospital, Harvard Medical School, and The Broad Institute of MIT and Harvard. Research Interests: Specializes in statistical bioinformatics, spatial omics, and high-dimensional data analysis, with emphasis on translational research in infectious diseases, organ transplantation, cardiovascular disorders, neurodegeneration, and oncology. His work combines computational methods with clinical data to uncover disease mechanisms and improve therapeutic strategies. Grants & Collaborations: Recent grants include PrecisionGO (MRFF-funded), White matter lesion transcriptomics (National MS Society), and studies on coronary artery disease and graft failure prediction. Collaborates widely with medical researchers, leveraging interdisciplinary teams to tackle complex health challenges. Labs & Teams: Leads the Bioinformatics Cluster at the Sydney Precision Data Science Centre, integrating computational and experimental approaches to advance precision health initiatives.

Xiaofeng Zhuمشاهده پروفایل

استاد

• Genetic Epidemiology
• Statistical Genetics
• Genetic Association Analysis
• +۵ مورد دیگر

Xiaofeng Zhu, PhD is a Professor in the Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine. He also serves as faculty at the Cleveland Institute for Computational Biology. His research focuses on developing statistical methods and computational tools for analyzing genetic and genomic data, particularly in the context of association analysis, admixture mapping, and rare variant identification. He leads the Continental Origins and Genetic Epidemiology Network (COGENT) consortium and has identified multiple genetic loci associated with blood pressure, sleep disorders, and Alzheimer's disease. Education: Ph.D. in Biostatistics, Epidemiology and Biostatistics, Case Western Reserve University (1998) M.S. in Statistics, University of Cincinnati (1994) M.S. and B.Sc. in Mathematics, Peking University (1989, 1986) Research Interests: Dr. Zhu's work emphasizes statistical genetics, including the development of methods to control population stratification, admixture mapping in admixed populations, and cross-phenotype association analyses. His lab integrates deep learning and bioinformatics to study complex traits such as cardiovascular disease, obesity, and sleep disorders. Recent efforts include analyzing whole-genome sequencing data to uncover rare variants influencing phenotypic variation. Publications Trends: His recent work spans Mendelian randomization methods (e.g., MRBEE), gene-sleep interaction studies, and multi-ancestry genomic analyses. Key themes include causal inference, pleiotropy analysis, and leveraging diverse genetic datasets to improve polygenic risk scores. Awards & Memberships: Fellow of the Royal Statistical Society Member, American Society of Human Genetics Member, International Genetic Epidemiology Society Advising & Grants: He has mentored 3 Master’s students, 9/10 PhD graduates, and 11/12 postdoctoral researchers. Notable mentees hold positions at Harvard, Mayo Clinic, and NIH. Active grants include studies on sleep health metrics, lipid loci discovery, and cardiovascular disease genetics. Labs & Teams: Leads COGENT consortium and collaborates with the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. His lab develops software tools for ancestry inference, rare variant analysis, and epigenetic association studies.

Christopher Carrمشاهده پروفایل

استادیار

• Astrobiology
• Space Instrumentation
• Planetary Science
• +۶ مورد دیگر

Christopher E. Carr is an Assistant Professor at Georgia Tech in the Daniel Guggenheim School of Aerospace Engineering with a secondary appointment in the School of Earth and Atmospheric Sciences. His research focuses on space instrumentation for life detection, particularly using single molecule technologies, and exploring the origin of life and planetary protection strategies. He directs the Planetary eXploration Lab (PXL) and co-leads the Georgia Tech Astrobiology Program. Education: Carr holds dual SB degrees in Aeronautics/Astronautics and Electrical Engineering from MIT (1999), an SM in Aeronautics/Astronautics (MIT, 2001), and a ScD in Medical Physics (Harvard-MIT, 2005). His academic career includes research roles at MIT (2008-2020) and postdoctoral training at MIT and Massachusetts General Hospital (2005-2008). Research Interests: He develops advanced instruments for astrobiological missions to Mars, Europa, and Venus, focusing on single-molecule detection technologies like nanopores and nanogaps. His work bridges astrobiology with bioastronautics, addressing human adaptation to space through studies of metabolism, aging, and extravehicular activity (EVA). Key areas include: Non-enzymatic RNA replication mechanisms Venus cloud particle analysis Mars sample return strategies Planetary protection protocols Machine learning applications for biosignature detection Publications: Over 70 peer-reviewed articles span instrument development, astrobiological theory, and space mission planning. Notable works include the Electronic Life-Detection Instrument (ELIE) concept and the Venus Life Finder Mission Study . Awards: Honors include the Jim Pope Faculty Fellowship (2023), MIT Catalyst Fellowship (2019), and US-Japan Leadership Program recognition. He advises NASA and the National Academies on astrobiology and human space exploration. Teaching: Courses include Space Instrumentation for Life Detection and Aerospace Technical Communication at Georgia Tech. He has mentored over 100 students across all academic levels, including leading the NASA Space Apps Challenge and the Air Spora stratospheric balloon project. Labs/Teams: Leads the Planetary eXploration Lab (PXL) and collaborates with the Space Systems Design Lab (SSDL). Active in international collaborations including the NASA NFoLD network and US-Japan innovation initiatives.