جست‌وجوی استاد و پژوهشگر

Justin Kratovilمشاهده پروفایل

استادیار

• Evolutionary Biology
• Molecular Biology
• Herpetology
• +۳ مورد دیگر

Justin Kratovil serves as an Assistant Professor In-Residence in the Department of Molecular and Cell Biology at the University of Connecticut, where his research bridges evolutionary biology, genomics, and organismal studies with emphasis on amphibians and arthropods. His academic foundation includes: Postdoctoral training in Ecology and Evolutionary Biology at the University of Connecticut Postdoctoral training in Entomology at the University of Kentucky Ph.D. in Biology from the University of Kentucky MS in Biology from Smith College BA in Biology from Hartwick College Dr. Kratovil's research program integrates molecular techniques with evolutionary theory to investigate gene regulatory networks in insect development and genomic mechanisms underlying amphibian diversification. His work frequently addresses methodological challenges in studying organisms with complex genomic architectures, particularly salamanders with exceptionally large genomes. This dual focus on developmental genetics and phylogenomic analysis positions him at the intersection of evolutionary developmental biology and systematic biology. Analysis of his publication record reveals a sustained emphasis on amphibian evolutionary genomics (particularly salamanders) and arthropod developmental evolution. His research consistently employs phylogenomic approaches to resolve species boundaries, reconstruct evolutionary histories, and address technical limitations in non-model organism genomics, demonstrating expertise in both wet-lab methodologies and computational analysis. No scientific awards are documented in the available materials. While his collaborative publications indicate extensive research partnerships across multiple institutions, specific details regarding student mentorship or grant funding are not provided in the source materials. No dedicated laboratory or research team structure is explicitly described in the available documentation.

• algorithms
• data structures
• compression
• +۲ مورد دیگر

Gonzalo Navarro is a full Professor at the University of Chile where he earned his PhD in Computer Science in 1998. He directs research initiatives including the Millennium Nucleus Center for Web Research and participates in the Center for Biotechnology and Bioengineering (CeBiB) and Millennium Institute for Foundational Research on Data (IMFD). Education PhD in Computer Science, University of Chile, 1998 Research Interests His work focuses on algorithms, data structures, compression techniques, text searching systems, and graph databases. He pioneered compact data structures for highly repetitive sequences, enabling massive data reduction while maintaining efficient search capabilities across applications from bioinformatics to web-scale databases. His research bridges theoretical computer science with practical implementations in real-world systems. Scientific Awards 7 Best Paper Awards in conferences 4 Google Research awards Highest Cited Paper Award from Elsevier Award Scopus Chile ACM Fellow Advising and Grants Navarro has mentored 8 postdocs, 22 PhD candidates, 17 Master's students, and 29 undergraduates. His research receives funding from Google and Yahoo! Research, complemented by 4 Google Research awards. He coauthored two Cambridge University Press books, 25 book chapters, 11 edited conference proceedings, 200 journal papers, and 275 conference papers, establishing him as Latin America's most cited computer scientist. Labs and Teams He founded and directed the Millennium Nucleus Center for Web Research, currently contributes to CeBiB and IMFD, and created the Workshop on Compression, Text, and Algorithms (WCTA) which operates as SPIRE's permanent satellite conference. His leadership extends to steering committees of major algorithms conferences including SPIRE, LATIN, SISAP, and ESA.

Gregory L. Owensمشاهده پروفایل

استادیار

• Population genomics
• Conservation genetics
• Biogeography
• +۶ مورد دیگر

Gregory L. Owens is an Assistant Professor in the Department of Biology at the University of Victoria. He leads the Owens Lab, which specializes in evolutionary genomics and conservation biology research focusing on sunflowers, kelp, and rockfish. His work integrates genomic approaches with ecological and evolutionary questions to understand adaptation and speciation processes. Dr. Owens completed his MSc in Biology at the University of Victoria studying opsin gene expression in the four-eyed fish Anableps anableps . He then earned a PhD in Botany from the University of British Columbia, where he used genomics to study hybridization in sunflowers. Following this, he received the prestigious Banting Postdoctoral Fellowship to work on structural variation in sunflowers at the University of California, Berkeley. His research spans several key areas of evolutionary genomics. In sunflower research, he investigates the genomic basis of adaptation and speciation, with particular interest in hybridization, introgression, and the role of chromosomal inversions in adaptation. His lab has demonstrated that introgression is common between multiple sunflower species and that inversions play a crucial role in adaptation. In marine systems, his lab works with the Kelp Rescue Initiative to build genomic resources for kelp conservation, including chromosome-scale genomes for Macrocystis and Nereocystis . Additionally, his lab develops genomic resources for rockfish species to explore population connectivity, adaptation across latitudinal gradients, and the genetic basis of extreme lifespans. Analysis of his recent publications reveals a strong focus on structural genomic variation, particularly inversions, and their role in adaptation across diverse systems. His work demonstrates how chromosomal rearrangements facilitate parallel evolution and adaptation to environmental challenges. His research spans both plant and marine systems, showing remarkable versatility in applying genomic approaches to fundamental evolutionary questions. His scientific accomplishments include the Banting Postdoctoral Fellowship. His publications appear in high-impact journals including Nature , Proceedings of the National Academy of Sciences , Molecular Biology and Evolution , and Current Biology . Dr. Owens actively mentors students at various levels. His current lab includes Martin Liu (MSc student studying population genomics of a rare endemic Lupine species) and Jordan Bemmels (Postdoctoral Researcher studying population genetic structure in British Columbia kelp species). His former students include Kaede Hirabayashi (now Research Associate at UBC), Nathan Sykes (MSc), Koa Planedin (Honours), and Sara Wuitchick (now Assistant Professor at Mount Royal University). He has also supervised numerous directed studies students and undergraduate research associates. The Owens Lab maintains active collaborations with the Rieseberg Lab at UBC and participates in the Kelp Rescue Initiative. His lab combines field work, genomic analyses, and computational approaches to address fundamental questions in evolutionary biology and conservation genomics.

• Structural Biology
• Protein-Nucleic Acid Interactions
• Crystallography
• +۳ مورد دیگر

Charles Bond is a Professor at the School of Molecular Sciences within the Faculty of Science at the University of Western Australia. With a PhD in Chemistry from the University of Manchester and additional training from the Australian Institute of Company Directors, he has established himself as a prominent researcher in structural biology and molecular interactions. Education: PhD in Chemistry, University of Manchester (1992-1996) Graduate, Australian Institute of Company Directors (2022) Bond's research focuses on understanding how the spatial arrangement of biological molecules in complexes dictates their function, with particular interest in protein:nucleic acid interactions and their roles in gene regulatory complexes in eukaryotes. His work combines expertise in crystallography, bioinformatics, biochemistry, and molecular biology, often through collaborations with experts in cell biology and other biophysical techniques. His research spans structural biology, molecular recognition, RNA-binding proteins, and the development of synthetic biology tools. Analysis of his recent publications reveals a strong emphasis on protein-nucleic acid interactions, structural dynamics of biomolecular complexes, and the application of structural biology to solve biological problems. His work increasingly incorporates computational approaches, including contributions to discussions about AlphaFold's impact on structural biology. He has made significant contributions to understanding pentatricopeptide repeat proteins, paraspeckle formation, and bacterial conjugation mechanisms. As an active member of the scientific community, Bond serves as a co-editor for Acta Crystallographica Section D and has reviewed for multiple high-impact journals including Nature Communications, Biochemistry, and The Plant Cell. His research has been supported by funding from the Marsden Fund for projects investigating molecular circuits and gene expression. Bond maintains an active laboratory focused on structural biology approaches to understand molecular interactions, with particular emphasis on protein-RNA complexes and their roles in cellular processes. His collaborative approach has led to productive partnerships across multiple disciplines, bridging structural biology with cell biology, biochemistry, and agricultural science.

• Discrete Mathematics
• Probability
• Theoretical Computer Science
• +۶ مورد دیگر

Prasad Tetali is a Regents' Professor at the Georgia Institute of Technology , with appointments in both the School of Mathematics and the School of Computer Science . He also holds an adjunct professor position at Emory University's Mathematics and Computer Science departments. Education: PhD in Mathematics (1991) from the Courant Institute of Mathematical Sciences at NYU; MS in Mathematics (1987) from the Indian Institute of Science; Postdoc at AT&T Bell Labs His research spans Discrete Mathematics, Probability Theory, and Theoretical Computer Science , focusing on Markov chains, Isoperimetry, Combinatorics, Computational number theory, and Algorithms. Recent work includes applications to statistical physics models and hypergraph structures. He has served as Director of the ACO Ph.D. Program since 2019 and held leadership roles like Interim Chair of the School of Mathematics. His publications reflect a blend of discrete geometry, stochastic processes, and algorithmic analysis . Key Honors: AMS Fellow (2012) SIAM Fellow (2009)

Zeynep Erson Omayمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Epigenomics
• +۶ مورد دیگر

Dr. Zeynep Erson Omay serves as an Assistant Professor in the Department of Neurosurgery and Biomedical Informatics & Data Science at Yale School of Medicine. Her work bridges computational biology with neurosurgical oncology, focusing on precision medicine applications for brain tumors, with particular emphasis on understanding tumor heterogeneity and molecular mechanisms of CNS tumors. Dr. Erson Omay's educational background includes: PhD in Computer Science from Case Western Reserve University (2011) MS in Computer Science from Bilkent University (2005) BS in Computer Science from Bilkent University (2003) Her research focuses on computational analysis of multi-omic datasets to understand tumor heterogeneity, particularly in central nervous system tumors. Dr. Erson Omay specializes in genomic, transcriptomic, and epigenetic profiling of brain tumors, with emphasis on meningiomas, glioblastomas, and rare CNS tumor subtypes. She leads the Erson Lab, which develops bioinformatics approaches to study large datasets and reveal molecular mechanisms in tumor formation, progression, and clinical outlier subgroups. Her work in precision medicine aims to decipher the molecular architecture of individual tumors to guide personalized treatment approaches, with significant contributions to understanding tumor ecosystems and evolutionary patterns in brain cancers. Dr. Erson Omay's scientific contributions span neuro-oncology, computational biology, and precision medicine, with a strong emphasis on translating genomic findings into clinical applications. Her publications demonstrate consistent innovation in applying computational methods to complex neurosurgical problems, with particular focus on tumor heterogeneity, molecular classification, and racial disparities in tumor genomics. Her notable scientific awards include: 10x Genomics 2021 Pilot Award (2022) Mission Bio Tapestri Grant (2022) Case Western Reserve University, Research ShowCASE-Best Poster Award (2007) Dr. Erson Omay actively mentors students and researchers at various levels, including undergraduate students, graduate students, postdocs, and postgraduate associates. She collaborates extensively within Yale's neurosurgery department and across disciplines to advance computational approaches to brain tumor research. Her work is supported by various grants that enable the development of novel bioinformatics platforms for tumor genomic characterization. She leads the Erson Lab, which focuses on three major research areas: Tumor Ecosystem (studying interactions among tumor and immune cells), Tumor Evolution and Heterogeneity (understanding temporal and spatial tumor evolution), and Precision Medicine (applying genomic techniques to personalize brain tumor treatment). The lab employs diverse omics technologies to explore brain tumor biology and develop computational methods for precision medicine applications.

Nelly Panteمشاهده پروفایل

استاد

• Cell Biology
• Developmental Biology
• Virology
• +۵ مورد دیگر

Nelly Pante is a Professor in the Department of Zoology at the University of British Columbia, Faculty of Science. Her research focuses on nucleocytoplasmic transport, particularly the nuclear import of viral genomes and the molecular characterization of nuclear pore complexes (NPCs). Education: Ph.D. from Brandeis University; M.Sc. from The Venezuelan Institute for Scientific Research (IVIC); B.Sc. (Hons.) from Simon Bolivar University Research highlights include: Investigating bidirectional macromolecular transport through NPCs using cellular and molecular techniques, fluorescence, and electron microscopy Studying viral nuclear import of Influenza A, Hepatitis B, baculoviruses, and parvoviruses to develop antiviral strategies Developing the Xenopus oocyte model system for high-resolution nuclear transport studies Structural analysis of nucleoporins like Nup153 and Nup358/RanBP2 in NPC architecture Her lab employs advanced imaging methods and has contributed to understanding how viruses exploit nuclear transport mechanisms and how NPCs maintain cellular function in health and disease. Contact: pante@zoology.ubc.ca

• Machine Learning
• Genomics
• Computational Biology
• +۵ مورد دیگر

Jian Zhou is an Assistant Professor in the Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center . He holds scholarly positions as a Lupe Murchison Foundation Scholar in Medical Research and CPRIT Scholar . Previously, he was a Flatiron Research Fellow at the Flatiron Institute. Current: Assistant Professor at UTSW Education: B.S. in Biological Sciences (Peking University), Ph.D. in Quantitative and Computational Biology (Princeton University) The Zhou Lab focuses on: Machine learning methods for genomic regulation Deep learning for disease risk prediction Evolutionary analysis of regulatory circuits Single-cell genomic data interpretation Development of biomedical AI tools His research spans genomics , computational biology , and artificial intelligence , with recent articles emphasizing: 3D genome architecture modeling Noncoding variant analysis in disease Single-cell data frameworks Evolutionary regulatory genomics Awards include: Lupe Murchison Foundation Scholar CPRIT Scholar Lab positions available for graduate students , postdoctoral fellows (including remote), data scientists , and undergraduates . The lab provides access to GPU computing clusters at UTSW's South Campus.

Julie Championمشاهده پروفایل

استاد

• Protein Engineering
• Nanomaterials
• Immunology
• +۵ مورد دیگر

Julie Champion is the William R. McLain Endowed Term Professor in the School of Chemical and Biomolecular Engineering at Georgia Institute of Technology. She holds a Ph.D. in Chemical Engineering from the University of California Santa Barbara and completed NIH postdoctoral training at Caltech. As Faculty and Associate Chair for Graduate Studies, her work spans protein engineering , nanostructured biomaterials , and biocatalysis applications . Education: B.S.E. (University of Michigan), Ph.D. (UC Santa Barbara), NIH Postdoc (Caltech) Her research focuses on creating self-assembled protein nanomaterials for immunotherapy , cancer treatment , and industrial biocatalysis . Key projects include: Thermoresponsive protein nanosheets pH-sensitive vesicles for drug delivery Enzyme-immobilizing protein-inorganic hybrids Hexameric antibody delivery nanocarriers AvrA-based anti-inflammatory therapies Universal subunit vaccines via nanoparticle platforms Scientific recognition includes: Fellow, American Institute for Medical and Biological Engineering (2021) ACS Women Chemists Rising Star Award (2021) Georgia Tech BioEngineering Outstanding Advisor Award (2014) NSF BRIGE Award NIH Postdoctoral Fellowship NSF Graduate Fellowship Her lab at the Engineered Biosystems Building hosts ongoing outreach initiatives like the TEC Camp for middle school girls and Project ENGAGES for high school research mentorship.

Philip Romeroمشاهده پروفایل

دانشیار

• Protein Engineering
• Computational Biology
• Machine Learning
• +۳ مورد دیگر

Philip Romero, Ph.D., is an Associate Professor in the Department of Biomedical Engineering at Duke University. He earned his doctorate from the California Institute of Technology in 2012 and leads the Romero Lab, which relocated to Duke in 2023. His research focuses on developing computational and experimental methods for protein engineering, with applications spanning therapeutics, biocatalysis, and synthetic biology. Research Interests: Romero's work integrates machine learning, microfluidics, and high-throughput experimentation to study protein fitness landscapes. Key areas include: Self-driving laboratories for autonomous protein optimization Neural network models for predicting protein functions Therapeutic enzyme engineering (ACE2, caspases, lysins) Microfluidic platforms for deep mutational scanning His recent publications demonstrate a strong emphasis on machine learning-guided protein design, with 80% of post-2022 publications involving AI/ML methods. Therapeutic applications against infectious diseases (particularly SARS-CoV-2) and microbiome engineering represent emerging directions. Lab & Advising: The Romero Lab develops novel technologies for protein engineering, including custom gene library assembly platforms and droplet microfluidics systems. Romero mentors graduate students (e.g., Nishit, who recently defended a thesis on transcription factor engineering) and has collaborated with researchers across computational biology, metabolic engineering, and virology.

Angela Depaceمشاهده پروفایل

استادیار

• Gene Regulation
• Cis-Regulatory Elements
• Transcriptional Networks
• +۵ مورد دیگر

Angela Depace is an Assistant Professor at Harvard Medical School, specializing in Gene Regulation , Cis-Regulatory Elements , and Quantitative Developmental Biology . Her research integrates experimental and computational approaches to study how transcription factors and enhancer sequences control gene expression in Drosophila embryos, with implications for evolutionary biology and synthetic biology . B.S., Molecular Biophysics and Biochemistry, Yale University Ph.D., Biochemistry, University of California, San Francisco (advisor: Jonathan Weissman) Postdoctoral Research, University of California, Berkeley (advisor: Michael Eisen) Her work focuses on unraveling the kinetic roles of transcriptional activators , the evolution of regulatory sequences , and the computational modeling of gene networks . Recent publications explore mechanistic principles of enhancer function , transcriptional synergy , and developmental precision . Scientific contributions include the NSF CAREER Award and co-authoring Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers . Her lab emphasizes collaborative research , mentoring , and innovative teaching in systems biology graduate courses.

Brian D. Atheyمشاهده پروفایل

استاد

• Bioinformatics
• Pharmacogenomics
• Machine Learning
• +۸ مورد دیگر

Brian D. Athey is a Professor of Computational Medicine and Bioinformatics and Psychiatry at the University of Michigan Medical School. He serves as Michael Savageau Collegiate Professor & Chair of his department, leading interdisciplinary research in pharmacogenomics, epigenomics, and machine learning applications. His work bridges biomedical informatics with clinical insights in mental health, neurology, and drug response mechanisms. Ph.D. , Biophysics, University of Michigan (1990) B.S. , University of Michigan-Dearborn (1982) Dr. Athey’s research focuses on the pharmacoepigenome, high-throughput 4D imaging, and AI-driven pharmacogenomic pipelines. His lab develops tools for patient-specific drug response prediction, chromatin structure analysis, and next-generation sequencing assays. Collaborations span institutions like Assurex Health, tranSMART Foundation, and Johns Hopkins Medical School. His publications highlight innovations in pharmacogenomics, including AI integration for variant identification, 4D nucleome modeling, and adverse event ontologies. Recent projects address bipolar disorder treatment personalization, hypertension management, and generative AI workflows to enhance academic productivity. Scientific Awards : NIH Postdoctoral Fellowship 1990-1991 NIH Postdoctoral Fellowship 1991-1993 Advisees & Collaborations : His lab mentors PhD and Masters students in bioinformatics and biostatistics, with graduates like Ari Allyn-Feuer (GSK AI Products Director) and Alex Kalinin (Broad Institute). Collaborations include NIH-funded initiatives (O’Brien Kidney Core Center, VIOLIN 2.0) and industry partnerships.

David T. Lodowskiمشاهده پروفایل

استادیار

• Structural Biology
• G Protein-Coupled Receptors (GPCRs)
• X-ray Crystallography
• +۵ مورد دیگر

David T. Lodowski is an active Assistant Professor at Case Western Reserve University School of Medicine holding multiple appointments across the Department of Nutrition, Center for Proteomics and Bioinformatics, and Department of Pharmacology. He also serves as Director of the Biomedical Sciences Training Program. His laboratory focuses on elucidating the structural mechanisms of G protein-coupled receptors (GPCRs) and related signaling pathways using advanced structural biology techniques. Dr. Lodowski completed his BS in cellular and molecular biology from Tulane University in 1998, followed by a PhD in Biochemistry from the University of Texas at Austin in 2005. He then completed a postdoctoral fellowship in the Palczewski Laboratory at Case Western Reserve University from 2005-2011, where he examined structural changes in bovine rhodopsin during photoactivation and GPCR activation. His research primarily centers on GPCR signaling dynamics, utilizing X-ray crystallography, electron microscopy, and structural mass spectrometry to study macromolecular complexes. Additional research projects include developing biosensors for markers of hypoxia and fatigue, and investigating aquaporins as membrane gas channels. Dr. Lodowski teaches SYBB 501 Systems Biology & Bioinformatics Journal Club and CBIO 455 Molecular Biology I courses. Analysis of his recent publications shows a strong focus on structural biology of membrane proteins, particularly GPCRs and ion channels, with increasing emphasis on protein footprinting techniques and biosensor development. His work bridges structural biology with physiological applications, demonstrating translational potential in understanding cellular signaling pathways. Awards and Honors: Mt. Sinai Scholar (2012) Current Funding: Biosis AFRL as associate project lead since July 15, 2020. Dr. Lodowski has mentored students through the Biomedical Sciences Training Program which he directs. His laboratory has determined numerous protein structures (including IDs 5HI9, 4X1H, 4YEU, and others) related to GPCR signaling pathways. His research team employs a multidisciplinary approach combining structural biology, biophysics, and biochemistry to investigate the molecular mechanisms underlying GPCR activation and signaling, with implications for understanding numerous physiological processes and developing targeted therapeutics.

• Computational Biophysics
• Machine Learning
• Molecular Dynamics

Dr. Matteo Degiacomi is a Visiting Associate Professor in the Department of Physics at Durham University. His research focuses on integrative computational methods combining machine learning and molecular dynamics simulations to model biomolecular systems at near-atomistic resolution. Education: MSc in Computer Science (2008), PhD in computational biophysics (2012) from EPFL. His work leverages ion mobility , cross-linking , SAXS , and electron microscopy data to study protein assembly mechanisms. Recent publications highlight applications in virology , nanomaterials , and membrane protein dynamics . He develops open-source tools like ClayCode and JabberDock . Scientific awards include a Swiss National Science Foundation Early Postdoc Mobility Fellowship (2013-2017) and an EPSRC Junior Research Fellowship (2017-2020). He supervises postgraduate researchers Ajeeth Kanagarajan , Breanna Voss , and Listra Ginting .

Dario Ghersiمشاهده پروفایل

دانشیار

• Cancer Genomics
• Structural Bioinformatics
• Immunoinformatics
• +۲ مورد دیگر

Dario Ghersi is Associate Professor and Graduate Program Chair for Biomedical Informatics, Cybersecurity, and IT Innovation at UNO's College of Information Science & Technology. He holds an MD from the University of Genoa and a PhD in Structural Bioinformatics from Mount Sinai School of Medicine. Research focuses on cancer genomics, structural bioinformatics, immunoinformatics, and biologically-inspired computing. His lab develops computational methods for understanding protein interactions, T-cell immunity, and therapeutic design. Recent publications demonstrate advancements in viral inhibition strategies, equitable algorithm design, and cancer biomarker discovery. Awards include a 2011 American-Italian Cancer Foundation fellowship. Service includes co-directing the BISB track in the IGPBS PhD program and multiple committee roles.