جستجوی استاد راهنمای دانشگاهی

Julie Lee-Yaw is an Assistant Professor in the Department of Biology at the University of Ottawa's Faculty of Science. Her research focuses on evolutionary ecology, global change biology, and conservation, particularly examining eco-evolutionary dynamics of species ranges. She leads the Lee-Yaw Lab, which integrates field surveys, GIS modeling, population genomics, and synthesis methods to study species' adaptability in marginal environments. The lab emphasizes amphibians as key study organisms due to their sensitivity to environmental changes. Her work addresses critical questions about how species respond to climate change, habitat fragmentation, and human-induced pressures. Recent studies have explored species distribution models' reliability, translocation strategies for conservation, and latitudinal gradients in ecological interactions. Lee-Yaw collaborates across disciplines to bridge theoretical and applied conservation science, with a focus on informing policy and management decisions. Key research themes include understanding the genetic and ecological mechanisms underlying range limits, predicting species' responses to global change, and developing tools for conservation translocations. Her lab also investigates hybrid fitness in migratory divides and mitonuclear coevolution in avian species complexes, highlighting evolutionary processes shaping biodiversity. Education: Ph.D. in Evolutionary Biology (not specified), postdoctoral training in conservation ecology. Labs/Teams: Lee-Yaw Lab at University of Ottawa, affiliated with conservation networks and ecological modeling initiatives. Grants/Support: Not explicitly listed in provided texts, but implied through active research output.

• Evolutionary Ecology
• Global Change Biology
• Conservation Biology
• +۵ مورد دیگر

Margaret Elizabeth Smith is a Professor in the School of Integrative Plant Science (Plant Breeding and Genetics Section) and the Department of Global Development at Cornell University. She also serves as Associate Dean and Director of the Cornell Agricultural Experiment Station (Cornell AES). Her work focuses on maize breeding for productivity, organic systems, and tropical agricultural challenges. She holds a B.S. (1978) and Ph.D. (1982) from Cornell. Her research emphasizes improving corn varieties for New York growing conditions, enhancing resistance to pests/diseases, and supporting small-scale farmers globally. She leads the New York Seed Improvement Program and has extensive extension experience, including educational programs on crop varieties and genetic engineering. Awards include the 2015 Outstanding Faculty Award from CALS. Smith’s career includes roles as Associate Director of Cornell AES (2008–2020) and Cornell Cooperative Extension (1998–2001). She taught crop breeding at Cornell for 15 years and previously worked in Latin America at key agricultural research centers. Her global contributions span plant breeding strategies for sustainable agriculture and gender-responsive legume breeding initiatives in Africa.

• Plant Breeding
• Genetics
• Agricultural Science
• +۴ مورد دیگر

William Edward Lowry is a Professor in both the Department of Molecular, Cell and Developmental Biology and the Department of Medicine at the University of California Los Angeles (UCLA), College of Letters and Science. His interdisciplinary research bridges stem cell biology, cancer biology, and regenerative medicine, with a particular focus on hair follicle stem cells and their metabolic regulation. Dr. Lowry's research interests center on stem cell biology, particularly hair follicle stem cells and their roles in regeneration and cancer. His work explores the metabolic regulation of stem cells, the cellular origins of squamous cell carcinoma, and the application of stem cell technologies for regenerative medicine. His research spans from basic mechanisms of stem cell quiescence and activation to translational applications for hair loss and neurological disorders. Analysis of Dr. Lowry's recent publications reveals a strong focus on the intersection of metabolism and stem cell biology, particularly how metabolic pathways regulate hair follicle stem cell function and transformation. His work demonstrates that metabolic processes like pyruvate oxidation play crucial roles in stem cell activation, hair cycling, and cancer development. His research also extends to neurological applications, with significant work on glial progenitors for treating white matter stroke and vascular dementia. Dr. Lowry has secured substantial research funding through multiple NIH grants, including R01 awards for iPS-Glial Restricted Progenitors in White Matter Repair for Stroke (R01NS103788), Metabolic Control of Hair Follicle Stem Cell Homeostasis and Tumorigenesis (R01AR070245), and Identification and characterization of cancer cells of origin in the epidermis (R01AR057409). These grants support his laboratory's work on stem cell metabolism, cancer biology, and regenerative medicine applications. His laboratory focuses on hair follicle stem cell biology and metabolism, with additional work on neural progenitors and glial cells for regenerative applications. Dr. Lowry's team employs advanced techniques including single-cell transcriptomics, metabolic profiling, and in vivo models to investigate stem cell behavior in health and disease.

• Stem Cell Biology
• Cancer Biology
• Regenerative Medicine
• +۶ مورد دیگر

Dr. Swanne Gordon is an Assistant Professor and the CALS Graduate Diversity and Inclusion Lead at Cornell University's Ecology and Evolutionary Biology Department within the College of Agriculture and Life Sciences. She specializes in evolutionary patterns and processes, organismal biology, and academic diversity initiatives. Her research focuses on how organisms adapt to environmental changes, particularly in Trinidadian guppies and Lepidoptera, integrating behavioral, ecological, and neuroplasticity perspectives. Education: Ph.D., University of California Riverside, Biology M.S., McGill University, Biology B.Sc., Michigan State University, Biology Her lab explores topics such as rapid evolution in novel environments, warning color polymorphism, urban ecology, and eco-evolutionary dynamics. Recent publications emphasize neuroplasticity, sexual selection, and the role of light in mating behaviors. She actively promotes diversity in STEMM fields and decolonizes academic research. Courses taught include Special Topics in Ecology and Evolutionary Biology (BIOEE 4940) and Advanced Ecology (BIOEE 3610). Labs/Teams: Her lab emphasizes interdisciplinary collaboration and outreach to enhance diversity in evolutionary and ecological research. Affiliations include the Cornell Stable Isotope Laboratory and the Museum of Vertebrates.

• Evolutionary Ecology
• Behavioral Ecology
• Invasion Biology
• +۳ مورد دیگر

Dr. Tit-Yee Wong is a Professor in the Department of Biological Sciences at the University of Memphis, where he has served since 1985. He is also affiliated with the Bioinformatics Program. His research focuses on microbial physiology, bioenergetics, and genomic stop signals, with contributions to understanding bacterial radioresistance, nucleoid architecture, and environmental toxicology. He teaches courses in microbiology, microbial ecology, and bacterial physiology. Education: BS (1974) and MS (1975) from Murray State University, KY; PhD (1981) from the University of Houston, TX. Postdoctoral studies at Johns Hopkins University School of Medicine and Biology Department, specializing in biochemistry, cell biology, and microbiology. Research Interests: Bioenergetics of Azotobacter vinelandii and Deinococcus radiodurans; stop codon ratios in bacterial genomes; microbial response to environmental stressors like smog and heavy metals. He pioneered concepts such as the 'Chandelier Hypothesis' explaining nucleoid structure dynamics and proposed the use of genomic stop signals for phylogenetic analysis. Recent Articles Highlight Trends in: (1) Antimicrobial mechanisms of triclosan and silver nanoparticles; (2) Stop codon ratios as genomic fingerprints; (3) Environmental impacts on microbiota and bacterial physiology. His work bridges microbiology, bioinformatics, and environmental science. Labs/Teams: Active in interdisciplinary research at the University of Memphis, integrating bioinformatics with experimental microbiology. Collaborates on projects involving bacterial genomics and toxicology.

• Bioenergetics
• Microbial Genetics
• Bacterial Physiology
• +۶ مورد دیگر

Andrea Sottoriva is the Head of the Computational Biology Research Centre at Human Technopole , Milan, Italy, and holds the title of Professor of Cancer Genomics and Evolution . His work bridges computational biology, evolutionary theory, and clinical oncology to predict cancer progression and design adaptive treatment strategies. University of Bologna – BSc in Computer Science (2006) University of Amsterdam – MSc in Computational Sciences (2008) University of Cambridge – PhD in Computational Biology (2012) Dr. Sottoriva's research focuses on cancer evolution , applying machine learning and population genetics to decode tumor heterogeneity through multi-omics data. His lab integrates patient-derived organoids and spatial genomics to understand how genetic and epigenetic factors drive cancer progression. The 15 most recent publications demonstrate a consistent emphasis on subclonal dynamics (7/15), computational methods (6/15), and evolutionary modeling (5/15). Key themes include adaptive mutability in colorectal cancer , immune editing in post-transplantation relapses, and deep learning applications for tumor heterogeneity. Scientific recognition includes: Cancer Research UK Future Leaders in Cancer Research Prize (2016) His lab currently trains PhD students and postdoctoral researchers in computational oncology, maintaining a living biobank of patient-derived models while pioneering AI-mechanistic hybrid models for clinical translation.

• Cancer Evolution
• Computational Biology
• Genomics
• +۴ مورد دیگر

Dr Sheryl Chang is a Research Associate in the Modelling and Simulation Research Group at the School of Computer Science, University of Sydney. She holds a PhD in computational epidemiology (2021) and specializes in modeling infectious disease transmission and intervention strategies, integrating social and behavioral factors. Her work has been validated in multiple epidemic scenarios and recognized by global health organizations like the WHO and Lancet COVID-19 Commission. Teaching: She instructs courses such as System Dynamics Modelling for Project Management (PMGT5886) and Social Network Analysis Principles (OLET2346) . Her research focuses on pandemic dynamics, pathogen evolution, and the impact of human behavior on disease spread. Awards: Recipient of the prestigious Lord Robert May Prize (2019-2020) for best paper in Journal of Biological Dynamics , and 2023 Dean’s commendation for teaching excellence in the Faculty of Engineering. Research Grants: Lead investigator on the 2022 Sydney Institute for Infectious Diseases grant Modelling the impact of opinion dynamics on the COVID-19 pandemic in Australia . Labs/Teams: Active member of the Modelling and Simulation Research Group, collaborating on agent-based models for public health policy design and genomic epidemiology of pathogens like Salmonella and SARS-CoV-2.

• Computational Epidemiology
• Infectious Disease Modeling
• Public Health
• +۳ مورد دیگر

Pier Palamara is an Associate Professor of Statistical and Population Genetics at the University of Oxford's Department of Statistics, affiliated with the Centre for Human Genetics. He holds a PhD in Computer Science from Columbia University (2014) and completed postdoctoral training at Harvard Chan School of Public Health and the Broad Institute of MIT and Harvard. His research integrates statistics, computer science, and genetics to develop methods for analyzing large genomic datasets, focusing on evolutionary parameters, demographic history, complex trait genetics, and disease variation. Key research interests include reconstructing population movements via genetic data, studying natural selection and mutation rates in human genomes, and developing scalable algorithms for genomic analysis. He leads the Palamara Lab, which collaborates on projects like the Genomics England haplotype reference panel and the UK Biobank imputation. His lab's work is supported by grants and partnerships, and they develop software tools such as ASMC, Quickdraws, and Threads. Recent publications highlight contributions to Indo-European genetic origins, scalable mixed-model association methods, and ancient DNA analysis of European farmers. He advises graduate students and has mentored researchers in computational biology and statistical genetics.

• Statistical Genetics
• Population Genetics
• Genomics
• +۶ مورد دیگر

Josie Clowney is an Associate Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of Michigan, where she has held faculty position since 2017. Her research investigates the genomic algorithms that construct neural circuits during development, using Drosophila as a model to study how chemosensory systems drive both instinctual behaviors and learning. She teaches Bio 172 and an upper-level seminar on cellular diversity and scientific writing, and mentors graduate students through MCDB, CMB, NGP, and BIOINF PhD programs. Her educational background includes: Ph.D. in Biomedical Sciences (2012) from the University of California, San Francisco B.S. in Cellular and Molecular Biology (2005) from the University of Michigan, where she conducted research with Cunming Duan Clowney's research centers on understanding how definitive neuronal parameters are encoded in genomic information and translated into cellular architectures. Her lab hypothesizes that developmental algorithms for learning circuits versus instinctual circuits differ fundamentally in their genomic requirements, with chemosensory circuits serving as key models. Using fruit flies for their tractable brain organization, her work bridges computational principles and biological implementation to uncover universal brain organization rules. Analysis of her 15 most recent publications (2016-2025) reveals consistent focus on Drosophila mushroom body development, neural sexual differentiation, and spatial constraints in circuit formation. Key themes include non-deterministic mechanisms diversifying cell surface expression, chromatin dynamics in circadian regulation, and how input density tunes sensory responses. Her work integrates genomics, neuroanatomy, and behavior to model how compact genomic information generates complex neural architectures. No scientific awards were mentioned in the provided text. Dr. Clowney advises graduate students through multiple PhD programs at the University of Michigan, though specific student names and grant details are not provided in the source material. Her teaching includes foundational undergraduate coursework and advanced seminars emphasizing scientific writing. The active publication record spanning 2016-2025 indicates sustained research funding supporting her lab's investigations into neural circuit development. The Clowney Lab, housed in the Biological Sciences Building (4218 BSB), employs Drosophila genetics and neuroanatomical techniques to dissect developmental algorithms of brain wiring. Current projects explore how spatial constraints structure learning circuits, mechanisms of neural sexual differentiation, and the genomic encoding of circuit diversity. The lab collaborates within Michigan's neuroscience community through the Program in Biology and participates in interdisciplinary initiatives studying brain evolution and function.

• Neural Circuits
• Developmental Neuroscience
• Chemosensory Systems
• +۳ مورد دیگر

Professor Mark Enright is a Professor of Medical Microbiology at Manchester Metropolitan University's Department of Life Sciences, specializing in genomic epidemiology of antibiotic-resistant pathogens and bacteriophage therapy development. His work bridges clinical microbiology with advanced genomic techniques to combat multidrug-resistant infections. His educational background includes: PhD in Medical Microbiology, University of Aberdeen (1995) MSc in Biochemistry, University of Dundee (1990) BSc (Hons) in Biological Sciences, University of Stirling (1989) Enright's research focuses on antibiotic resistance mechanisms in Gram-positive and Gram-negative pathogens, with groundbreaking work on bacteriophage-based therapeutics targeting Staphylococcus aureus , Pseudomonas aeruginosa , and Klebsiella pneumoniae . His laboratory employs whole-genome sequencing and core-genome MLST to track pathogen evolution, biofilm formation, and horizontal gene transfer. Recent projects include developing phage cocktails against cystic fibrosis-related infections and characterizing depolymerases for capsular polysaccharide degradation. Analysis of his 2015-2025 publications reveals consistent focus on genomic epidemiology of healthcare-associated pathogens, with increasing emphasis on phage therapy applications. His work demonstrates methodological evolution from traditional typing to advanced genomic analyses, particularly in tracking international MRSA transmission and developing phage-based biofilm disruption strategies for wound infections. His major recognitions include: Royal Society University Research Fellowship (2000-2008) European Society for Clinical Microbiology Young Investigator Award (2002) As Editor of the International Journal of Antimicrobial Agents and Section Editor for FEMS Microbiology Letters , Enright shapes antimicrobial research discourse. He serves on editorial boards of Antibiotics and PeerJ , and reviews for Science and Nature . His grant review expertise for Wellcome Trust, MRC, and EU programs informs global research funding priorities. Formerly a Visiting Professor at University of Bath (2011-2014), he maintains strong industry-academia collaborations in antimicrobial development. His Molecular Microbiology teaching integrates cutting-edge research into curriculum, while his John Dalton Building laboratory develops novel approaches to combat antimicrobial resistance through phage genomics and biofilm disruption technologies.

• Medical Microbiology
• Antibiotic Resistance
• Bacteriophage Therapy
• +۲ مورد دیگر

Dr. Michael Wollenberg is an Associate Professor of Biology and Department Chair at Kalamazoo College. He holds a PhD from the University of Wisconsin-Madison and a BA from Swarthmore College. His research focuses on molecular mechanisms of bioluminescence in Photorhabdus luminescens , including its interactions with nematodes and insect hosts. He investigates bacterial symbiosis, microbial ecology, and the regulation of light production genes. Dr. Wollenberg teaches courses in microbiology, molecular biology, and evolutionary biology. Education: PhD in Medical Microbiology and Immunology, University of Wisconsin-Madison BA in Biology, Swarthmore College Research Interests: Photorhabdus luminescens bioluminescence evolution, Photorhabdus -nematode symbiosis, bacterial competition dynamics, and microbial community ecology. His lab uses interdisciplinary approaches including genetics, biochemistry, and computational biology. Grants & Awards: NSF ISO 1755230 (2018–2022) NSF Graduate Research Fellowship (2005–2008) NIH Traineeships in Oral Health & Microbial Disease (2010–2013) Teaching: Courses include BIOL 322 General and Medical Microbiology , BIOL 295 Computational Tools for Biologists , and BIOL 112 Evolution and Genetics . He emphasizes growth mindset and active learning in his pedagogy. Lab & Outreach: The Wollenberg Lab actively involves undergraduates in research. Current projects explore bioluminescence regulation and host-microbe interactions. His work has been featured in Proceedings of the National Academy of Sciences and Applied and Environmental Microbiology .

• Bioluminescence
• Molecular Biology
• Ecology
• +۳ مورد دیگر

Steve Thomas is a Professor in the Department of Biological Sciences at the University of Alabama. He is actively accepting graduate students and focuses on functional attributes of stream ecosystems, community composition effects, and interactions between ecosystem and evolutionary processes. His research spans nutrient dynamics, material transport, and management impacts in aquatic systems, with recent expansions into microbiome interactions and stoichiometry databases. Current funded projects include ecological impacts of urban/agricultural nutrient loading, microbiome functional roles, and large-scale ecological pattern analysis. Research interests emphasize both basic and applied questions in freshwater ecology, including: Longitudinal connectivity in stream networks Nutrient spiraling and bioactive layer processes Ecological consequences of land-use changes Hydropower impacts in tropical river systems Food web dynamics and methodological innovations Recent work highlights interdisciplinary approaches combining field experiments with advanced sensor technologies, particularly in tropical rainforest streams and agricultural-impacted systems. Collaborative projects involve global researchers addressing large-scale ecological patterns and conservation challenges. Current projects include: Stoichiometry database development for cross-scale ecological analysis Nutrient sensor networks quantifying urban/agricultural loading Trophic web reconstruction using isotope tracer experiments

• Stream Ecosystems
• Community Ecology
• Nutrient Dynamics
• +۵ مورد دیگر

Lu Cheng is a Visiting Professor in the Department of Computer Science at the University of Helsinki, affiliated with the Vehtari Aki Professorship. He holds a Doctor of Philosophy in Natural Sciences from the University of Helsinki (2013). His research focuses on computational genomics, bioinformatics, and microbial genetics, with emphasis on DNA sequence analysis, nanopore sequencing technologies, and systems biology. He leads projects on alternative splicing in cancer and the impact of microbiota on human health. Notable contributions include the NanoBaseLib benchmark dataset and methods for RNA modification analysis. His work addresses UN Sustainable Development Goals related to good health and innovations in data science. Education: Doctor of Philosophy in Natural Sciences (2013), University of Helsinki; Doctoral degree in Natural Sciences (2013), University of Helsinki. Research Interests: Genomics, computational biology, microbial ecology, RNA sequencing technologies, and bioinformatics tool development. His projects explore bacterial population dynamics, host-pathogen interactions, and applications of machine learning in genomics. Advising: Supervises doctoral researchers including Guangzhao Cheng and Chengbo Fu. Active in grants such as the Academy of Finland Research Fellowship (2023-2025). Labs/Teams: Leads research groups focused on single-cell genomics and computational methods for biological systems.

• Genomics
• Bioinformatics
• Microbial Genetics
• +۳ مورد دیگر

Lee Spector is a Professor of Computer Science at Amherst College and an Adjunct Professor at the University of Massachusetts, Amherst . Previously, he taught at Hampshire College from 1992 to 2019, where he held roles including Dean of the School of Cognitive Science and Director of the Computational Intelligence Laboratory . He earned a B.A. in Philosophy from Oberlin College (1984) and a Ph.D. in Computer Science from the University of Maryland (1992). His research focuses on artificial intelligence, artificial life, evolutionary computation, and intersections with cognitive science, physics, and the arts. Notable contributions include work on genetic programming for music generation (e.g., GenBebop ), quantum computing algorithms, and evolutionary robotics. He serves as Editor-in-Chief of Genetic Programming and Evolvable Machines and has authored over 100 publications, including the book Automatic Quantum Computer Programming: A Genetic Programming Approach (2004). Spector has received prestigious awards such as the NSF Director's Award for Distinguished Teaching Scholars and gold medals in the GECCO Human Competitive Results contest. He also engages in public outreach, including an op-ed in The Boston Globe on digital evolution (2005).

• Artificial Intelligence
• Artificial Life
• Evolutionary Computation
• +۴ مورد دیگر

George Fu Gao is a leading virologist and immunologist serving as Director-General of China CDC and Vice President of the National Natural Science Foundation of China. He holds professorships at the Chinese Academy of Sciences (CAS) and University of Chinese Academy of Sciences (UCAS). His research focuses on viral evolution, pathogen entry mechanisms, and public health interventions for emerging infectious diseases. During the COVID-19 pandemic, his team rapidly isolated SARS-CoV-2 and provided critical support for China's containment efforts. He leads global health initiatives like CEPI and Africa CDC capacity-building. Key roles include: Director-General, China CDC (2017–present) Dean, Savaid Medical School, UCAS (2015–2017) Professor, CAS Institute of Microbiology (2004–present) Education highlights include postdoctoral research at Oxford University (1998–2001) and Harvard University (1999–2001). His research spans structural biology applications to pathogen studies, including Ebola, Zika, and influenza viruses. Awards include NAS Foreign Associate membership (2019), Leopoldina membership (2020), and TWAS Prize (2012). Publications reflect cross-disciplinary contributions to virology, immunology, and public health. Major achievements include designing universal coronavirus vaccines and clarifying viral transmission mechanisms. His labs focus on structural biology, antiviral therapies, and global pandemic preparedness.

• Virology
• Immunology
• Viral Evolution
• +۵ مورد دیگر