جست‌وجوی استاد و پژوهشگر

Gail E. Kaiserمشاهده پروفایل

استاد

• Software Engineering
• Static and Dynamic Program Analysis
• Software Testing
• +۷ مورد دیگر

Gail E. Kaiser is a Professor of Computer Science and the Director of the Programming Systems Laboratory (PSL) in the Computer Science Department at Columbia University. She has been with Columbia University since 1985, becoming a full Professor in 1998. Prof. Kaiser's research spans software engineering, program analysis, software testing, and software security, with recent focus on addressing challenges in AI/ML systems testing and security. Prof. Kaiser received her PhD in Computer Science from Carnegie Mellon University in 1985 and her ScB in Computer Science and Engineering from MIT in 1979. Her dissertation at CMU was titled "Semantics for Structure Editing Environments" under advisor Nico Habermann, and at MIT she completed "Automatic Extension of an Augmented Transition Network Grammar for Morse Code Conversations" under advisor Al Vezza. Prof. Kaiser's research interests primarily focus on software engineering following a systems building approach, with recent emphasis on static and dynamic program analysis techniques to improve software reliability and security. Since 2005, she has investigated testing "non-testable" programs, particularly in machine learning, data mining, and scientific computing applications where traditional testing oracles are insufficient. She has developed novel techniques and tools for detecting bugs and verifying repairs in complex systems. Concurrently, she has worked on collaboration environments for computational scientists, creating knowledge sharing and domain-aware environments to support scientific workflows. Prof. Kaiser's recent publications demonstrate a strong focus on the intersection of software engineering and artificial intelligence. Her work addresses critical challenges in testing AI systems, code understanding through deep learning, vulnerability detection, and educational tools for computational thinking. There's a clear evolution from traditional software engineering topics toward AI/ML applications, with particular emphasis on metamorphic testing for non-testable systems, code similarity analysis, and educational applications. Prof. Kaiser has received numerous prestigious awards throughout her career: Distinguished Journal Award (10 Years) from 18th IEEE International Conference on Software Testing, Verification and Validation (ICST), April 2025 Best Research Paper Award at 24th IEEE International Conference on Source Code Analysis & Manipulation (SCAM), October 2024 Distinguished Reviewer Awards for ASE 2024 and FSE 2024 ACM SIGSOFT Distinguished Paper Award for "CONCORD: Clone-aware Contrastive Learning for Source Code", July 2023 Best Student Paper Award at ICCE 2021 Multiple ACM SIGSOFT Distinguished Paper Awards dating back to 2014 Presidential Young Investigator in Software Engineering and Software Systems from NSF (1988-1993) Prof. Kaiser has chaired Columbia's doctoral program since 1997 and served on editorial boards including IEEE Internet Computing and as a founding associate editor of ACM Transactions on Software Engineering and Methodology. Her lab has been continuously funded by major agencies including NSF, NIH, DARPA, ONR, NASA, and numerous companies. Current grants include significant NSF funding for secure containers architecture, learning semantics of code for software assurance, and finding semantic security bugs. As Director of the Programming Systems Laboratory (PSL), Prof. Kaiser leads research in software systems, program analysis, and software testing. The lab has developed numerous tools and techniques for software reliability and security, with recent focus on challenges in AI/ML systems. Her work bridges theoretical foundations with practical applications, often resulting in deployable tools that address real-world software engineering challenges.

Alexandre Bouchard-Côtéمشاهده پروفایل

استاد

• Computational Statistics
• Bayesian Inference
• Monte Carlo Methods
• +۴ مورد دیگر

Alexandre Bouchard-Côté is a Professor of Statistics at the University of British Columbia (UBC), affiliated with the Department of Statistics within the Faculty of Science. His research focuses on computational statistics, Bayesian methods, and Monte Carlo techniques, with applications in evolutionary biology, cancer genomics, and computational linguistics. Education : PhD in Computer Science (with Designated Emphasis in Statistics) from UC Berkeley (2010), BSc in Mathematics and Computer Science from McGill University (2005). Affiliations : Director of the Blang probabilistic programming project and leader of the Bouncy Particle Sampler research group. Research Interests : Bouchard-Côté develops scalable Bayesian computational methods, including non-reversible Monte Carlo algorithms like the Bouncy Particle Sampler, and applies these to problems in cancer phylogenetics, evolutionary dynamics, and historical linguistics. His work emphasizes bridging theoretical foundations with practical tools for data science. Publications Trends : Recent work spans distributed sampling frameworks (e.g., Pigeons.jl), variational phylogenetic inference, and cancer clonal evolution modeling. His articles often address algorithmic scalability and interdisciplinary applications in biology and astronomy. Awards : CRM-SSC Prize in Statistics (2024) PIMS-UBC Mathematical Sciences Young Faculty Award (2018) Tweedie New Researcher Award (2016) Advising & Grants : Supervises graduate students (e.g., Son Luu, Nikola Surjanovic) and leads funded projects on distributed MCMC and cancer genomics. Collaborates with institutions like the Simons Foundation and the Canadian Statistical Sciences Institute (CANSSI). Labs/Teams : Core member of the UBC Statistical Machine Learning group, contributing to open-source tools like Blang and the Bouncy Particle Sampler implementation.

Ryo Morimotoمشاهده پروفایل

پژوهشگر ارشد

• Evolutionary Biology
• Immunology
• Genome Editing
• +۲ مورد دیگر

Ryo Morimoto is a Research Fellow and Group Leader at the Department of Molecular Biology, Umeå University, affiliated with Molecular Infection Medicine Sweden (MIMS). He leads studies on the evolutionary foundations of adaptive immunity and host genome editing mechanisms. MD (2011) and PhD (2017) from University of Tokyo Postdoctoral work at Max Planck Institute for Immunobiology & Epigenetics (2017-2024) Project Leader (2022) and Group Leader (2024) at MIMS His research explores antigen receptor diversification in jawless vertebrates, evolutionary emergence of lymphopoietic systems, and self-tolerance mechanisms. Using non-conventional models, his lab integrates in vitro biochemistry, single-cell omics, and computational genomics to address genome integrity challenges in adaptive immunity. The lab's recent publications highlight evolutionary insights into immune system development and its implications for human immunity. Research focuses on conserved enzyme families mediating genome editing and their biotechnological applications. Ryo Morimoto's team emphasizes multicultural collaboration, interdisciplinary training, and skill development for early-career scientists. The lab maintains partnerships with Umeå Centre for Microbial Research (UCMR) and employs in vivo techniques alongside molecular and computational approaches.

• Evolutionary Biology
• Marine Biology
• Taxonomy
• +۵ مورد دیگر

Mikael Thollesson is a Senior Lecturer at Uppsala University, affiliated with the Department of Organismal Biology; Systematic Biology and Klubban’s Biological Station. His research focuses on evolutionary biology, phylogenetics, taxonomy, and molecular biology, particularly in marine and freshwater sponges (Porifera), bacterial pathogens, and computational methods in evolutionary analysis. Evolutionary Biology Marine Biology Taxonomy His recent publications highlight trends in sponge biodiversity, phylogeography, bacterial horizontal gene transfer, and mitochondrial gene evolution. Key articles include studies on Swedish demosponge faunas, Silene sect. Arenosae systematics, and computational tools like SPRIT for detecting gene transfers. No explicit awards or grants are mentioned.

Jörg Bohlmannمشاهده پروفایل

استاد

• Plant Defense Mechanisms
• Terpenoid Biochemistry
• Forestry Genomics
• +۱۲ مورد دیگر

Jörg Bohlmann is a Professor in the Department of Forest and Conservation Sciences at the University of British Columbia , affiliated with the Michael Smith Laboratories, Botany Department (Faculty of Science), and Wine Research Centre. His research spans genomics, biochemistry, and chemical ecology of plant specialized metabolism, focusing on terpenoids and phenolics for applications in forest health and bioproducts. Research Streams : Plant defense against insects/pathogens, metabolic engineering of bioproducts, forest genomics, and molecular evolution of terpenoid pathways. Collaborations : National and international partnerships with academia, government, and biotech industries. Recent Publications highlight genomic insights into Western Redcedar (2023), including its low genetic diversity and adaptation mechanisms despite self-fertilization. Earlier work (2001–2022) covers conifer defense systems, Arabidopsis terpenoid pathways, cannabis flavor genetics, and mass spectrometry infrastructure. Scientific Awards include: NSERC E.W.R. Steacie Fellow (2015), Fellow of the Royal Society of Canada (2015), Feodor Lynen Postdoctoral Fellowship (1995–1998), and Distinguished University Scholar (UBC). Funding Sources : NSERC (Discovery/Strategic grants), CFI, Genome Canada/BC, provincial/federal agencies. Labs & Facilities : Michael Smith Laboratories (UBC), National Centre of Excellence, Forest Sciences Centre, and a dedicated mass spectrometry lab for metabolite analysis.

James Briscoeمشاهده پروفایل

استاد

• Developmental Biology
• Molecular Signaling
• Transcriptional Networks
• +۴ مورد دیگر

James Briscoe is a Senior Group Leader at The Francis Crick Institute in London, where he leads a research group focused on developmental biology and morphogen signaling. He previously held positions at the Medical Research Council's National Institute for Medical Research, which later became part of the Francis Crick Institute. Education: BSc in Microbiology and Virology from the University of Warwick, UK PhD from Imperial Cancer Research Fund/King's College London Postdoctoral training at Columbia University with Thomas Jessell Dr. Briscoe's research focuses on the molecular and cellular mechanisms of graded signaling by morphogens and the role of transcriptional networks in cell fate specification. His laboratory employs a range of experimental and computational techniques using model systems including mouse and chick embryos and embryonic stem cells. His work has significant implications for understanding developmental processes and their relationship to disease. His recent publications demonstrate a continued focus on morphogen gradients, neural tube development, and computational approaches to understanding cell fate decisions. His research increasingly integrates single-cell technologies and computational modeling to unravel the complexities of developmental patterning. Scientific Awards and Honors: EMBO Young Investigator (2001) EMBO Gold Medal (2008) Elected to EMBO (2009) Fellow of the Academy of Medical Sciences (2019) Fellow of the Royal Society (2019) As Editor-in-Chief of the journal Development since 2018, Dr. Briscoe plays a significant role in shaping the field of developmental biology. His leadership extends to mentoring researchers and contributing to scientific policy discussions, as evidenced by his recent publication 'Science under siege: protecting scientific progress in turbulent times.' Dr. Briscoe's laboratory at the Crick Institute is well-equipped with access to advanced facilities including light microscopy, flow cytometry, genomics, and computational resources, enabling a multidisciplinary approach to developmental biology questions.

Manu Magarمشاهده پروفایل

پژوهشگر

• Plant breeding
• Tissue culture for plant breeding
• Gene expression
• +۵ مورد دیگر

Manu Magar is a Researcher at the School of Biological Sciences , University of Western Australia , with a focus on plant genetics and climate resilience. They also hold an external position as a Biotechnologist at the National Biotechnology Research Center, Nepal Agricultural Research Council since May 2014. M.Sc.Ag. in Agricultural Science from Acharya N G Ranga Agricultural University (2012) B.Sc.Ag. in Horticulture from Tribhuwan University (2009) Research Interests Their work centers on plant breeding , gene expression , and crop genomics to combat heat stress in wheat. Key areas include transcription factor analysis , ERF gene regulation, and drought tolerance mechanisms. Article Trends Magar’s publications (2022–2025) emphasize AP2/ERF superfamily genes in wheat, heat tolerance pathways, and ethyline signaling during grain filling. Their work bridges genomic studies and transcription factor roles in stress response. Collaborations & Research Active in international collaborations between Australia, Nepal, and India, Magar contributes to crop improvement via genomic analysis and biotechnology .

Anthony Rollettمشاهده پروفایل

استاد

• Additive Manufacturing
• Advanced Materials Processing and Manufacturing
• Digital Twins
• +۶ مورد دیگر

Anthony Rollett is a Professor in the Department of Materials Science and Engineering at Carnegie Mellon University , where he has been a faculty member since 1995. He serves as the Principal Investigator and Co-Director of the NASA-supported Institute for Model-Based Qualification & Certification of Additive Manufacturing (IMQCAM) and co-director of the Next Manufacturing Center . Prior to CMU, he held leadership roles at Los Alamos National Laboratory (1991-1995). Education: Ph.D., Materials Engineering, Drexel University (1987) MA, Metallurgy and Materials Science, Cambridge University (1977) Research Interests: Rollett’s work focuses on microstructural evolution and microstructure-property relationships in 3D using experiments and simulations. His expertise spans additive manufacturing , metal 3D printing , materials for energy systems , grain growth , recrystallization , and stereology , with techniques like high-energy diffraction microscopy (HEDM) and dynamic x-ray radiography (DXR) . Scientific Contributions: He has over 320 peer-reviewed publications and an h-index >80 . His recent articles highlight machine learning for laser processing , fatigue analysis of additively manufactured alloys, and design optimization for heat exchangers in supercritical CO2 and solar thermal applications . Scientific Awards: Fellow of ASM International (1996) Fellow of the Institute of Physics (UK) (2004) Fellow of The Minerals, Metals & Materials Society (TMS) (2011) Cyril Stanley Smith Award (TMS, 2014) Member of Honor, French Metallurgical Society (2015) US Steel Professor (2017) Francqui International Professor (2020-2021) International FAME Award (2023) Leadership & Impact: Rollett co-led the development of a NASA Space Technology Research Institute for additive manufacturing and established a new master’s program in additive manufacturing (2018). His research group is funded by industry , federal agencies , and Pennsylvania state grants . He also serves on the Basic Energy Science Advisory Committee and Defense Programs Advisory Committee for the Department of Energy.

Mihai Popمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Computational Biology
• +۳ مورد دیگر

Dr. Mihai Pop is a Professor of Computer Science and Director of the University of Maryland Institute for Advanced Computer Studies (UMIACS). He holds appointments in the Department of Computer Science, UMIACS, and the Center for Bioinformatics and Computational Biology (CBCB). His research focuses on computational biology, metagenomics, and algorithm development for genomic data analysis. He received a Ph.D. in Computer Science from Johns Hopkins University (2000), followed by work at The Institute for Genomic Research (TIGR) developing genome assembly algorithms. Education: Ph.D., Computer Science, Johns Hopkins University, 2000. Research Interests: Bioinformatics, genomics, metagenomics, computational geometry, software testing. His lab develops tools for analyzing microbial communities and has pioneered methods for metagenomic assembly and analysis. Notable tools include the AMOS genome assembly toolkit. Recent Article Trends: Recent work emphasizes long-read sequencing, metagenomic profiling (e.g., TIPP3), and strain-level analysis (e.g., Strainy). He addresses challenges in scaling sequence-based searches and improving taxonomic resolution in large datasets. Awards: ACM Fellow (2019), ISCB Fellow (2022), UMD Excellence in Teaching Award (2015). Grants & Leadership: Co-leader of the Human Microbiome Project data analysis group. Active in diversity initiatives to promote inclusivity in computational fields. Labs/Teams: Pop Lab (pop-lab.org) focuses on computational methods for microbial genomics and metagenomics.

Jenny Ouyangمشاهده پروفایل

دانشیار

• Endocrinology
• Urban Ecology
• Physiological Adaptation
• +۴ مورد دیگر

Jenny Ouyang is an Associate Professor in the Department of Biology at the University of Nevada, Reno , where she also serves as Director of the Ecology, Evolution and Conservation Biology graduate program. She earned her B.S. and B.A. from the University of California, Irvine (2007), followed by M.A. and Ph.D. in Ecology and Evolutionary Biology from Princeton University (2009, 2012). Her research focuses on the ecology and evolution of physiological systems , particularly how hormonally regulated traits enable organismal adaptation to environmental changes like urbanization , light pollution , and endocrine stress responses . Education: Ph.D., Ecology and Evolutionary Biology, Princeton University (2012) M.A., Ecology and Evolutionary Biology, Princeton University (2009) B.S., Biology, University of California, Irvine (2007) B.A., French, University of California, Irvine (2007) Her work integrates neuroendocrine mechanisms with ecological contexts to understand phenotypic flexibility and epigenetic adaptation in birds. Recent projects examine how artificial light at night disrupts circadian rhythms, hormonal profiles, and parental behaviors across urban-rural gradients. She has secured major grants including the NSF CAREER award (2022) for studying urbanization and NIH COBRE funding (2017) as part of a neuroscience team. Key collaborations include Dr. Maria Echeverry at Universidad Pontificia Javeriana in Colombia through her 2023 Fulbright award . The Ouyang Lab combines natural and laboratory experiments to investigate stress physiology, with recent papers analyzing glucocorticoid responses to urbanization, gene expression patterns under light pollution, and epigenetic reorganization in response to environmental stressors. Her publications span top journals like Proceedings of the Royal Society B , Biology Letters , and Ecology Applications , where her 2022 paper on lead pollution and reproduction was highlighted by ESA and Swedish Radio. Scientific Awards & Recognition: US Fulbright Scholars Award (2023) NSF CAREER grant (2022) NIH COBRE grant (2017) as team member Advising students like Valentina Alaasam (NSF GRFP awardee) and Ivan Celso Carvalho Provinciato (Dean's Merit Fellowship)

Qiaowei Panمشاهده پروفایل

پژوهشگر

• Evolutionary Biology
• Molecular Biology
• Genetics
• +۷ مورد دیگر

Qiaowei Pan is a Researcher at the University of Lausanne , focusing on Evolution and Ecology . They have held a Guest Researcher role at the Institute of Molecular Biology gGmbH (IMB) in Mainz, Germany since 2023, and a Postdoctoral Researcher position at the University of Lausanne since 2018. Education: PhD in Molecular and Evolutionary Biology (2014-2018), INRAe, University of Rennes II, France Erasmus Mundus Master in Evolutionary Biology (MEME) (2012-2014), University of Groningen (Netherlands) & University of Montpellier II (France) BSc in Biology (2008-2012), University of North Carolina-Chapel Hill, USA Research Interests: Qiaowei Pan's work centers on the intersection of molecular genetics , evolutionary biology , and developmental biology , particularly in sex determination mechanisms across diverse animal models. Their studies span non-coding RNA regulation , sex chromosome evolution , and signal transduction pathways like TGF-β in reproductive systems. Publication Trends: Recent articles highlight expertise in sex determination systems (5/12 publications), genomic approaches (6/12), and fish developmental evolution . Collaborative work includes computational methods ( RADSex workflow ) and comparative studies across ant , goldfish , catfish , and cavefish models. Labs & Teams: Currently affiliated with the Keller-Valsecchi group at IMB and the Department of Evolution and Ecology at the University of Lausanne.

Daniel Segrèمشاهده پروفایل

استاد

• Systems Biology
• Metabolic Engineering
• Microbial Ecology
• +۷ مورد دیگر

Professor Daniel Segrè is a faculty member at Boston University, holding the title of Professor of Biology, Bioinformatics, and Biomedical Engineering. His research focuses on systems biology, microbial ecology, and metabolic engineering, with an emphasis on understanding complex biological networks and their applications in bioenergy and biomedicine. Segrè leads the Segre Lab ( segrelab.bu.edu ), where theoretical and computational approaches are applied to study metabolism, microbial interactions, and synthetic biology. Segrè earned his PhD from the Weizmann Institute of Science, Israel. His work bridges fundamental science and applied engineering, addressing topics such as microbial community dynamics, metabolic pathway design, and environmental microbiome applications. Research Interests: Systems biology of metabolism, evolution of biochemical networks, microbial interactions, bioinformatics, and environmental microbiome engineering. His lab develops computational models (e.g., COMETS) to simulate microbial ecosystems and design synthetic microbial communities for climate change mitigation and bioenergy production. Teaching: Courses include BE 777 (Computational Genomics), BF 821 (Bioinformatics Seminar), and BF 571 (Dynamics and Evolution of Biological Networks). These courses reflect his expertise in integrating computational methods with biological systems analysis.

Katja Hoseمشاهده پروفایل

استاد

• Knowledge Graphs
• Semantic Web
• Data Management
• +۷ مورد دیگر

Katja Hose is a Full Professor of Data Management at TU Wien's DBAI research unit, heading the Data Management and Knowledge-Driven AI Lab. She previously held a Poul Due Jensen Foundation Professorship at Aalborg University. Her research focuses on data and knowledge engineering, including graph databases, knowledge graphs, querying, analytics, and machine learning, with interdisciplinary applications in bioscience, healthcare, and environmental assessment. Education: PhD in Computer Science (Ilmenau University of Technology, 2009), Postdoc at Max Planck Institute for Informatics (2009–2012). Academic roles include Program Co-Chair for ISWC 2024 and EDBT 2023, and editorial board membership at VLDBJ and TGDK. She leads projects like TARGET (health virtual twins) and ARMADA (data management). Research Interests: Knowledge Graphs, Semantic Web, Big Data, Machine Learning, Data Integration, and Provenance Systems. Key contributions include SHACL shape extraction, conversational data analytics, and environmental knowledge graphs. Awards include the 2025 Distinguished Meta-Reviewer Award and 2024 Manfred Paul Award. Advising and Grants: Supervised students including E. Pürmayr (Diploma Thesis 2025). Active in EU projects (TARGET, ARMADA) and grant coordination. Labs/Teams: DMKI Lab at TU Wien, collaborating with interdisciplinary teams in healthcare and environmental science.

Gabriel Birzuمشاهده پروفایل

استادیار

• Microbial Ecology
• Evolutionary Dynamics
• Population Genetics
• +۳ مورد دیگر

Gabriel Birzu is an Assistant Professor in the Department of Physics at the University of Florida. He develops quantitative models of microbial ecology and evolution using statistical physics approaches. His research investigates fine-scale diversity in microbial communities, examining how spatial processes shape evolutionary trajectories. Recent work analyzes hybridization barriers in cyanobacteria and genealogical patterns during range expansions. Birzu's interdisciplinary approach combines theory, computation, and data analysis to understand microbial diversification mechanisms and community responses to environmental perturbations.

Maude Baldwinمشاهده پروفایل

پژوهشگر

• Evolutionary Biology
• Sensory Systems
• Molecular Evolution
• +۳ مورد دیگر

Maude Baldwin is the Director of the Evolution of Sensory and Physiological Systems department at the Max Planck Institute for Biological Intelligence. Her research focuses on the molecular and physiological mechanisms underlying sensory receptor evolution in vertebrates, particularly in birds. Education : Ph.D. from Harvard University (Department of Organismic and Evolutionary Biology, 2007-2014); B.A. from New York University (Gallatin School of Individualized Study, 2005). Research Interests include: Evolution of taste receptors, such as the repurposing of savory receptors for sweet detection in hummingbirds. Convergent evolution in sensory systems across vertebrates. Integrative approaches combining molecular methods, cell culture, and behavioral studies. Impact of dietary shifts on ecological and physiological adaptations. Publication Trends reveal a focus on comparative genomics , protein evolution , and sensory system adaptation , with specific attention to bird taste receptors , gene loss , and echolocation genetics . Labs & Teams : Baldwin leads a multidisciplinary team at the Max Planck Institute, recruiting researchers in comparative genomics , organoid technology , and vertebrate natural history . The group investigates sensory-diet coevolution and physiological trade-offs.