جست‌وجوی استاد و پژوهشگر

David Kurzمشاهده پروفایل

استادیار مهمان

• Conservation Science
• Human Dimensions of Wildlife
• Climate Policy
• +۵ مورد دیگر

David Kurz is a Visiting Assistant Professor in Environmental Studies at Boston College. He holds a PhD in Environmental Science, Policy, and Management from UC Berkeley, an MPhil in Zoology from the University of Cambridge, and an AB in Ecology & Evolutionary Biology from Princeton University. His interdisciplinary research focuses on the human dimensions of wildlife conservation, climate policy, and socio-ecological systems. Dr. Kurz explores how climate change, urbanization, and land-use shifts impact ecosystems and human communities. Key research projects include studying bearded pig distributions in Borneo, cultural implications of lobster die-offs in the Long Island Sound, and equity in urban green space access. His work bridges natural and social sciences to address challenges in biodiversity conservation and climate resilience. Recent publications highlight topics like wildfire biodiversity overlaps in California, socio-ecological dynamics in Malaysian Borneo, and the impacts of the COVID-19 pandemic on wildlife. He emphasizes mentorship, guiding students toward real-world problem-solving and engaged scholarship. Dr. Kurz’s teaching and research align with Boston College’s commitment to environmental justice and interdisciplinary collaboration.

Rahul Siddharthanمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Regulatory Genomics
• Chromatin Structure
• +۶ مورد دیگر

Rahul Siddharthan is a computational biologist at The Institute of Mathematical Sciences (IMSc), Chennai , with research interests spanning bioinformatics algorithms, regulatory genomics, chromatin structure, evolutionary biology, and machine learning applications in clinical outcomes. He holds a PhD in Physics from the Indian Institute of Science, Bangalore, and transitioned to biology during a postdoc at the Rockefeller University, New York. At IMSc, he has led the Computational Biology group since 2013 and contributed to a new PhD program in this field. PhD: Physics, Indian Institute of Science, Bangalore Postdoc: Rockefeller University, New York Current Affiliation: IMSc, Chennai Leadership: Computational Biology group (since 2013) Research Interests include: Bioinformatics Algorithms Regulatory Genomics Chromatin Structure Evolutionary Biology Machine Learning in Clinical Data His recent publications focus on machine learning for fetal growth prediction , clustering methods for clinical data , and evolutionary analysis of fungal pathogens . He actively supervises PhD students and collaborates with medical institutions like Apollo Hospitals and Warwick Medical School. Rahul also organizes interdisciplinary workshops such as 'Machine Learning for Health and Disease' at ICTS Bengaluru and 'Aspects of Gene and Cellular Regulation' at IMSc. Advising and Collaborations involve mentoring current PhD students Sankarsan Dutta and Akash Sivaraman, with past advisees including Pavitra S (defended 2025), Chandrani Kumari (submitted 2024), and Rakesh Netha Vadnala (PhD 2023). Key collaborators include Dr. Uma Ram (Seethapathy Clinic), Leelavati Narlikar (IISER Pune), and Ponnusamy Saravanan (Warwick). Technical Contributions include developing algorithms like THiCweed for ChIP-seq motif discovery and ClaID for Candida auris clade identification. His group engages in projects related to chromatin organization , transcription factor interactions , and genomic data analysis .

Karin Pfennigمشاهده پروفایل

استاد

• Behavioral Ecology
• Evolutionary Biology
• Speciation
• +۵ مورد دیگر

Karin Pfennig is a Professor in the Department of Biology at the University of North Carolina at Chapel Hill. Her research focuses on understanding how behavior drives biodiversity, particularly through the evolution of mating behavior and its role in speciation, hybridization, and species distributions. She uses spadefoot toads as model organisms to study adaptive hybridization, behavioral plasticity, and the ecological consequences of species interactions. Her work combines field studies, laboratory experiments, and genetic analyses. Key research themes include the evolution of mate choice plasticity, the role of hybridization in range expansions, and the mechanisms underlying reproductive character displacement. Pfennig’s lab is located in Wilson Hall, and she actively mentors graduate students such as Catherine Chen, Patrick Kelly, and Gina Calabrese. Notable awards include winning the NSF’s 2026 Idea Machine competition for her proposal on community-driven carbon capture solutions. Her findings have been published in prestigious journals like *Science*, *Proceedings of the Royal Society B*, and *Journal of Heredity*. Pfennig’s research bridges ecology and evolution, addressing critical questions about biodiversity maintenance and adaptation in human-impacted environments. Her lab emphasizes interdisciplinary approaches, integrating behavioral, ecological, and genetic perspectives to unravel complex evolutionary processes.

Greg Gossمشاهده پروفایل

استاد

• Environmental Physiology
• Environmental Toxicology
• Watershed Science
• +۳ مورد دیگر

Greg Goss is a Professor in the Department of Biological Sciences at the University of Alberta, Faculty of Science. His research focuses on three interconnected areas: environmental physiology of fishes, environmental toxicology, and watershed science. He investigates physiological adaptations of aquatic organisms to environmental stresses, evaluates the toxicity of industrial and agricultural pollutants, and models Alberta's water resources under climate change scenarios. Collaborations include work with EnCana, Vive Crop Protection, and Dr. Monireh Faramarzi on water management. His lab, Goss Lab, hosts research on nanotoxicology, hydraulic fracturing fluid impacts, and stormwater system improvements. Contact: ggoss@ualberta.ca. Research interests include ion and solute transport mechanisms in fish, toxicity of nanoparticles and pesticides, and watershed modeling for sustainable water use. He employs molecular biology, cell physiology, and field studies across freshwater and marine ecosystems. Industrial partnerships aim to balance environmental protection with economic needs. Notable projects include assessing hydraulic fracturing fluid toxicity on aquatic species, developing predictive water supply models, and improving stormwater management through polymer and wetland technologies. His work contributes to OECD nanomaterial testing standards and regulatory policy.

James Dixonمشاهده پروفایل

استاد

• Self-organization in perception, action, and cognition
• Thermodynamic origins of behavior
• Complex behavior in non-living dissipative systems
• +۱ مورد دیگر

James Dixon is a Professor and Director of Ecological Psychology at the University of Connecticut, where he leads the Department of Psychological Sciences and directs the Center for the Ecological Study of Perception & Action (CESPA). CESPA fosters interdisciplinary research across optics, acoustics, movement science, and nonlinear dynamics, establishing UConn as a pioneer in ecological psychology. Research Focus Dr. Dixon investigates the self-organizing principles underlying perception, action, and cognition, with emphasis on thermodynamic foundations of behavior. His work bridges psychology, physics, and complex systems theory: Self-organization in biological and non-living dissipative systems Fractal dynamics in cognitive processes Inter-entity coordination across scales End-directed evolution in complex systems Publication Trends His publications (2009-2016) converge on emergent phenomena in complex systems, with recurring themes of self-organization, entropy, and coordination dynamics. Recent work emphasizes thermodynamic principles in behavioral emergence, while earlier studies explore representational change and insight through nonlinear models. Leadership & Academic Environment As CESPA Director, he oversees collaborative research spanning 10+ specialties. The center’s ethos integrates ecological principles with physics and development, maintaining UConn’s legacy in perception-action science since its founding by J.J. Gibson.

Peter Matthiasمشاهده پروفایل

استاد

• Biochemistry
• Cell Biology
• Cell division
• +۷ مورد دیگر

Matthias Peter is a Professor of Biochemistry at ETH Zurich, leading research into mechanisms governing cell growth and division. His laboratory focuses on ubiquitin-dependent regulation of DNA replication and mitosis, and autophagy's role in cellular quality control. He chairs the Department of Biology (2011-2015) and holds leadership roles in Switzerland's research infrastructure, including Vice Chair of ScopeM's microscopy platform. His academic career includes roles at ISREC (1996-2002) and postdoctoral training at UCSF (1991-1996). Education: PhD in Biochemistry from ISREC (1991), ETH Zurich diploma in Gene Technology (1987). Research interests span molecular mechanisms of cell division, ubiquitin systems, and autophagy. Awards include ERC Advanced Grant (2011) and UBS Excellence in Research (2002). Leadership: Member of Swiss National Research Council, SNF selection committee, and SWTR council. Over 20 years of committee service in national research programs. His lab's work is published in top journals like Science, Nature, and Molecular Cell.

Shawki M. Areibiمشاهده پروفایل

استاد

• VLSI Physical Design Automation
• Reconfigurable Computing Systems
• Hardware/Software Co-Design for Embedded Systems
• +۷ مورد دیگر

Shawki M. Areibi is a Professor and Area Head of Engineering Systems and Computing in the School of Engineering at the University of Guelph. His research focuses on VLSI Physical Design Automation, Reconfigurable Computing Systems, and Hardware/Software Co-design for Embedded Systems. He leads efforts in developing advanced algorithms for CAD tools, FPGA design, and machine learning applications. His work addresses challenges in VLSI layout optimization, parallel processing, and embedded systems design. Affiliations: AI Affiliated Faculty, Area Heads, Computer Engineering, Engineering Systems and Computing Research. Research Interests: VLSI Circuit Layout, Reconfigurable Computing, Machine Learning, and FPGA-based Accelerators. His research integrates meta-heuristics like Genetic Algorithms and Tabu Search to solve complex optimization problems. He has contributed to hardware acceleration frameworks for machine learning algorithms and embedded systems, with applications in domains like signal processing and data mining. His recent work includes congestion-estimation models for modern FPGAs and analytic placement tools for ultra-scale architectures. Publications span VLSI design, reconfigurable computing, and machine learning, emphasizing algorithmic innovation and hardware-software co-design. His students have explored topics ranging from FPGA placement to domain adaptation in remote sensing. Grants and Advising: Advises graduate and undergraduate students on projects involving FPGA acceleration, machine learning, and embedded systems. His labs focus on developing next-generation CAD tools and hardware accelerators.

• Ancient DNA
• Molecular Ecology
• Conservation Genetics
• +۵ مورد دیگر

Associate Professor Jeremy Austin is a leading evolutionary biologist at the University of Adelaide , affiliated with the School of Biological Sciences and serving as Deputy Director of the Australian Centre for Ancient DNA (ACAD) . His work bridges ancient DNA analysis, molecular ecology, and forensic biology to address critical questions in conservation genetics and human identification. PhD in Evolutionary Biology from University of Tasmania (1995) Jeremy's research focuses on ancient DNA techniques to study evolutionary histories of extinct and extant vertebrates, assess environmental change impacts, and develop genomic tools for forensic identification of degraded human remains. His work supports agencies like the Australian Defence Force and humanitarian organizations. Recent publications highlight applications of LAMP assays for invasive species detection, genome-wide hybridization capture in forensic profiling, and phylogeographic analysis of endangered species. His team's innovations in trace DNA recovery and environmental DNA (eDNA) have advanced biosecurity monitoring. Australian Research Council Future Fellowship (2011) As a Senior Lecturer , Jeremy supervises research students and collaborates across conservation, forensics, and evolutionary biology . He leads ACAD's efforts to integrate historical museum samples into modern genomic studies, with applications for wildlife management and human remains identification.

Masmudur Rahmanمشاهده پروفایل

استادیار

• Molecular Virology
• Cancer Biology
• Oncolytic Viruses
• +۳ مورد دیگر

Masmudur Rahman is an Assistant Professor at Arizona State University (ASU), affiliated with the School of Life Sciences and the Biodesign Center for Personalized Diagnostics. He leads research on molecular virology, focusing on oncolytic viruses like myxoma virus (MYXV) to treat cancers, particularly leveraging their ability to target cancer cells with compromised innate immunity. His work combines virology, genetic engineering, microscopy, and bioinformatics. Education highlights include a BSc and MSc from the University of Dhaka, a PhD in Molecular Virology from the Indian Institute of Science (IISc), and postdoctoral research at the University of Western Ontario and University of Florida, studying poxvirus immune modulation. He has received grants from NIH and the Arizona Biomedical Research Commission for projects on cancer virotherapy and virus-host interactions. Research interests span viral host range mechanisms, tumor tropism, and combination therapies (e.g., selinexor + MYXV). His lab develops strategies to enhance viral efficacy using stem cells and explores autosis induction in CAR-T cells. He teaches undergraduate research and honors courses in microbiology and cell biology, emphasizing hands-on training in virology techniques. Grants include NIH-funded studies on overcoming CAR-T resistance via autosis and targeting metastatic cancers with MYXV-selinexor combinations. His work has been published in Viruses , Cancer Research Communications , and International Journal of Molecular Sciences , among others.

Jonas Stålhandمشاهده پروفایل

استاد

• Biomechanics
• Medical Engineering
• Materials Science
• +۳ مورد دیگر

Jonas Stålhand is a Professor at Linköping University, affiliated with the Department of Management and Engineering (IEI) and the Division of Solid Mechanics (SOLMEK). His research focuses on biomechanics, smart textiles, haptic technologies, and cardiovascular mechanics. He leads interdisciplinary projects such as a study on pain relief using smart textile garments, combining neuroscience, materials science, and biomechanics. His work spans arterial wall mechanics, wearable haptic systems, and biomaterial characterization. Recent projects include parameter identification in arteries and the development of electroactive yarn actuators for wearable applications. Collaborations involve multidisciplinary teams across engineering, medicine, and textile science. Research interests emphasize translating biomechanical insights into clinical and industrial applications. Notable contributions include studies on aortic stress analysis, acetabular cup stability, and electroactive polymer-based actuators. His publications address both fundamental and applied aspects of soft tissue mechanics and medical engineering. No scientific awards are explicitly listed, but his work has been highlighted in university news for its innovative potential in healthcare and technology.

David Toshمشاهده پروفایل

استاد

• Cellular Reprogramming
• Developmental Biology
• Stem Cell Therapy
• +۳ مورد دیگر

David Tosh is a Professor in the Department of Life Sciences at the University of Bath. His research focuses on cellular reprogramming, developmental biology, and regenerative medicine, with applications to cancer and stem cell therapy. He leads a lab investigating cell type conversions (e.g., pancreatic to liver cells) and their implications for disease like Barrett’s metaplasia. Current lab members include Heather Bone, Christopher Brimson, Zoe Burke, and others listed in the text. He collaborates on projects such as the NextGen-O2k High-Resolution Respirometry initiative and contributes to animal-free 3D tissue modeling. Key research themes include understanding transcription factors driving cell fate decisions, translational applications of reprogramming for therapy, and links between cellular plasticity and cancer progression. His work aligns with UN Sustainable Development Goals related to health and innovation.

Kelly Burkettمشاهده پروفایل

دانشیار

• Statistical Genetics
• Genetic Epidemiology
• Biostatistics
• +۳ مورد دیگر

Dr. Kelly Burkett is an Associate Professor in the Department of Mathematics and Statistics at the University of Ottawa, within the Faculty of Science. She specializes in Statistical Genetics and Genetic Epidemiology, focusing on genealogical relationships, population substructure, and family-based study designs. Her work includes software development for genetic data analysis, such as SMLE and GENLIB. Dr. Burkett holds an MSc and PhD from Simon Fraser University. Research Interests: Dr. Burkett’s research addresses challenges in genetic epidemiology, including maternal effects, gene-environment interactions, and the impact of population substructure on study design. Her methodologies often integrate computational tools to analyze large-scale genetic datasets. She actively collaborates with biomedical researchers, inspiring new questions in statistical genetics and genomics. Publications & Software: Her recent work includes studies on orofacial clefting etiology, software for high-dimensional feature screening, and genealogical simulations in French Canadian populations. Her articles span topics from computational genetics to molecular biology, emphasizing interdisciplinary approaches. Advising & Collaborations: Dr. Burkett has mentored over 20 students and trainees across MSc, PhD, and postdoctoral programs. Current advisees include Yuewen Pan (MSc) and Yuhao Feng (PhD). Past students hold roles in academia, healthcare, and industry. She collaborates on biomedical projects, leveraging statistical methods to address genetic and environmental interactions. Labs & Teams: While no formal lab is explicitly mentioned, her software contributions (e.g., hapassoc, sampletrees) and collaborative projects suggest involvement in computational biology and genetics research networks at the University of Ottawa and beyond.

Pier Palamaraمشاهده پروفایل

دانشیار

• Statistical Genetics
• Population Genetics
• Genomics
• +۶ 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.

David Weisblatمشاهده پروفایل

استاد

• Developmental Biology
• Evolutionary Developmental Biology (Evo-Devo)
• Molecular Phylogenetics
• +۴ مورد دیگر

David Weisblat is a Professor in the Department of Molecular and Cell Biology at UC Berkeley's College of Letters & Science. His research focuses on developmental and evolutionary processes in glossiphoniid leeches (e.g., Helobdella ), particularly their segmentation mechanisms and molecular phylogeny within Lophotrochozoa. He leads studies integrating embryological, genomic, and genetic approaches to understand how developmental pathways evolved across bilaterian animals. Research Interests: Weisblat’s work addresses how cell fates and signaling pathways (WNT, NOTCH, TGFβ) shape leech development, with emphasis on the evolutionary origins of segmentation. His lab combines microinjection techniques, transcriptome analysis, and CRISPR mutagenesis to explore stem cell dynamics and conserved developmental programs. Key Projects: Current efforts investigate grandparental stem cell divisions in segmentation and intercellular signaling during early embryogenesis. The lab’s genomic resources—including BAC libraries and EST databases—facilitate comparative studies across Lophotrochozoan taxa. Lab Contributions: The Weisblat lab pioneered Helobdella as a model organism, enabling breakthroughs in Evo-Devo. Their findings bridge developmental plasticity and evolutionary innovation, particularly in annelids versus arthropods/deuterostomes.

Lu Chengمشاهده پروفایل

استاد مهمان

• Genomics
• Bioinformatics
• Microbial Genetics
• +۳ 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.