جست‌وجوی استاد و پژوهشگر

• Algebraic Combinatorics
• Representation Theory
• Statistical Mechanics
• +۳ مورد دیگر

Greta Panova is a Gabilan Distinguished Professor of Science and Engineering and a Professor of Mathematics at the University of Southern California (USC). Her research focuses on Algebraic Combinatorics, with connections to representation theory, statistical mechanics, probability, and computational complexity theory. She also engages in molecular biology modeling. Panova holds editorial roles at journals including the Electronic Journal of Combinatorics, Arnold Mathematical Journal, and Communications of the American Mathematical Society. She is a writer/editor for the Putnam Mathematical Competition (2023-2025) and is currently supported by NSF grants in the CCF division. Her research interests span Algebraic Combinatorics, Representation Theory, Statistical Mechanics, Probability, and Computational Complexity Theory. Specific areas include Kronecker and Littlewood-Richardson coefficients, asymptotic behavior of combinatorial structures, and the interplay between algebraic structures and computational complexity. She also explores applications in molecular biology, particularly protein dynamics in DNA lesions. NSF grants in CCF division (current) Editorial roles at Electronic Journal of Combinatorics, Arnold Mathematical Journal, and others Contributor to the Putnam Mathematical Competition Panova's research is supported by NSF grants, focusing on computational complexity and algebraic combinatorics. She has advised students in areas related to her research, though specific names aren’t listed here. Grants have funded explorations into geometric complexity theory, asymptotic combinatorics, and molecular biology modeling. Her work involves collaborations across disciplines, including statistical mechanics and integrability, as highlighted in her white paper contributions.

Rachel Sippyمشاهده پروفایل

پژوهشگر ارشد

• Epidemiology
• Vector-Borne Diseases
• Dengue Fever
• +۴ مورد دیگر

Rachel Sippy is a Research Fellow at the University of Cambridge , specializing in epidemiology and infectious disease dynamics within the Department of Psychiatry . Her work bridges public health, climate science, and computational methods.

Louis Du Plessisمشاهده پروفایل

مدرس

• Computational Epidemiology
• Phylodynamics
• Viral Evolution
• +۳ مورد دیگر

Louis Du Plessis is a Lecturer at ETH Zürich's Department of Biosystems Science and Engineering in Basel, Switzerland. His research focuses on computational evolution with particular emphasis on infectious disease dynamics and genomic analysis. He maintains an active research profile with numerous high-impact publications in top-tier journals. Dr. Du Plessis completed his doctoral studies at ETH Zürich in 2016 with a thesis titled 'Understanding the spread and adaptation of infectious diseases using genomic sequencing data,' building upon his 2011 Master's work on evolutionary rate variation. His current research sits at the intersection of computational biology, epidemiology, and evolutionary genetics. His research interests span computational epidemiology, phylodynamics, viral evolution, and infectious disease modeling. He has made significant contributions to understanding pandemic dynamics, particularly regarding influenza and SARS-CoV-2, using genomic and epidemiological data integration. His methodological work includes developing computational approaches for estimating epidemic dynamics and viral transmission patterns. Analysis of his recent publications reveals a strong focus on how pandemics disrupt normal viral circulation patterns, with particular attention to influenza evolution during the 2009 H1N1 and COVID-19 pandemics. His work often combines phylogenetic analysis with epidemiological modeling to extract maximum information from genomic and case count data. Dr. Du Plessis has received research funding from European Commission projects including 'From Foundations of Phylodynamics to new applications in Cell Biology' (grant 101001077) and 'MOnitoring Outbreak events for Disease surveillance in a data science context' (grant 874850). He is actively involved in developing computational tools for analyzing pathogen genomic data and has contributed to several software packages used in the field. His work has significant implications for public health surveillance and pandemic preparedness.

Soeren Lienkampمشاهده پروفایل

استادیار

• Molecular Biology
• Genetics
• Developmental Biology
• +۵ مورد دیگر

Prof. Dr. Soeren Lienkamp is an Assistant Professor at the Institute of Anatomy , Faculty of Medicine , University of Zurich . His work bridges digital education and genetic research , focusing on enhancing medical teaching through innovative formats. Research Interests : Genetics, developmental biology, kidney disease modeling, CRISPR applications, digital medical education, and advanced microscopy. Methodologies : Combines Xenopus tropicalis models, deep learning , and bioengineering to study genetic kidney disorders and improve diagnostic tools. Publication Trends : His recent articles highlight predictable genome editing , 3D imaging technologies , and mechanistic insights into kidney and eye development. Earlier works focus on ciliary function , Wnt signaling , and metabolic stress in renal cells.

Joshua J. Coonمشاهده پروفایل

استاد

• Bioanalytical Chemistry
• Mass Spectrometry
• Proteomics
• +۴ مورد دیگر

Joshua J. Coon is a Professor at the University of Wisconsin-Madison with appointments in the Department of Biomolecular Chemistry and the Department of Chemistry. He leads the Coon Group, focusing on advancing mass spectrometry technologies for proteomics, metabolomics, and lipidomics. His research addresses fundamental questions in cell biology, including stem cell differentiation, epigenetic regulation, and cancer biomarker discovery. Affiliations : Director of the NIGMS National Center for Quantitative Biology of Complex Systems. Research Emphasis : Instrumentation development, data analysis software, ion chemistry, and biological applications of proteomics. Laboratory : Located in the Genome Center of Wisconsin with a dozen hybrid mass spectrometers, including Orbitrap systems. Collaborations : Long-term partnership with Thermo Fisher Scientific and the Wisconsin Alumni Research Foundation (WARF) for technology commercialization. Training : Mentored 27 Ph.D. students since 2009, emphasizing interdisciplinary research and professional development.

Vernita Gordonمشاهده پروفایل

دانشیار

• Biophysics
• Microbiology
• Biofilm Mechanics
• +۵ مورد دیگر

Vernita Gordon is an Associate Professor in the Department of Physics at the University of Texas at Austin (since 2018), previously serving as an Assistant Professor there from 2010 to 2018. She holds a Ph.D. in Physics from Harvard University (2003) and a B.Sc. in Physics and Mathematics from Vanderbilt University (1997). Her research focuses on understanding how physical characteristics like mechanics and spatial structure influence bacterial biofilms, particularly their interactions with the immune system and resistance to antibiotics. She has pioneered techniques such as laser trapping to manipulate biofilm structures and studies radiation effects on bacteria like Deinococcus radiodurans . Education: Ph.D. in Physics, Harvard University (2003) B.Sc. in Physics and Mathematics, Vanderbilt University (1997) Research Interests: Dr. Gordon’s work integrates biophysics, microbiology, and materials science to explore biofilm mechanics, bacterial mechanosensing, and radiation biology. Key areas include: How biofilm mechanics resist immune clearance and antibiotic treatment Role of surface stiffness and shear stress in biofilm initiation Radiation resistance mechanisms in Deinococcus radiodurans Development of tools like laser trapping to study biofilm structure Key Achievements: Recipient of the Elizabeth B. Gleeson Professorship (2023) and Texas Mindset Initiative Fellowship (2023) Provost’s Teaching Fellow (2020–2024) and multiple teaching awards Funded by NSF, NIH, and Cystic Fibrosis Foundation Published over 60 peer-reviewed articles, including in Nature , PNAS , and Biophysical Journal Advising & Outreach: She mentors graduate students in Physics, Microbiology, and Biomedical Engineering, emphasizing interdisciplinary training. Her group actively recruits undergraduates and collaborates with industry partners like Solvay and the College of Pharmacy. Outreach includes lesson plans for high school STEM education and community science initiatives. Labs & Collaborations: Her lab uses advanced microscopy, microrheology, and computational modeling. Key collaborations include work with the Contreras Lab (UT Austin Chemical Engineering) on radiation-resistant bacteria and the Raizen Lab (UT Austin Physics) on self-sterilizing surfaces.

Gheorghe Paunمشاهده پروفایل

پژوهشگر

• Automata and Language Theory
• Natural Computing
• DNA Computing
• +۳ مورد دیگر

Gheorghe Paun is a Senior Researcher at the Institute of Mathematics of the Romanian Academy (1994–present) and a Visiting Researcher at the University of Sevilla (2009–present). He earned his Ph.D. in Mathematics from the University of Bucharest (1977), supervised by Solomon Marcus. His research spans Automata and Language Theory (descriptional complexity, regulated rewriting), Natural Computing (DNA computing, membrane computing), and he is the initiator of membrane computing . Education : M.Sc. in Mathematics (1974), University of Bucharest (specialization: computer science) Ph.D. in Mathematics (1977), University of Bucharest His work includes foundational contributions to DNA computing (book DNA Computing. New Computing Paradigms , 1998) and membrane computing (book Membrane Computing. An Introduction , 2002). He has collaborated with over 100 researchers globally and advised multiple Ph.D. students, including Victor Mitrana and Gianina Georgescu. His scientific awards include the Gheorghe Lazar award (1981), Corresponding Member of the Romanian Academy (1997), Doctor Honoris Causa from Silesian University of Opava (2007), and recognition as an ISI Highly Cited Scientist (2007). He also holds honorary citizenships in Curtea de Arges (1998), Arges County (2007), and Cicanesti village (2009). Paun has served on editorial boards for journals like Theoretical Computer Science. Natural Computing Series and Natural Computing , and organized major workshops in membrane computing. His academic contributions include over 150 publications and editorial roles in 20+ journals.

• Autism Spectrum Disorders
• Medical Genetics
• Genomic Analysis
• +۳ مورد دیگر

Deqiong Ma is an Assistant Professor in the Department of Genetics at Yale University School of Medicine and Associate Director of the DNA Diagnostic Laboratory. She holds an MD from Tongji Medical University (1991), a PhD from the University of Tasmania (2003), and completed a postdoctoral fellowship at Duke University and a clinical fellowship at Albert Einstein College of Medicine. Her research focuses on genetic and genomic mechanisms underlying autism spectrum disorders, particularly copy number variants (CNVs), structural variation analysis, and clinical diagnostic methodologies. Key research interests include identifying novel genetic risk factors for autism using advanced genomic techniques, such as homozygosity mapping and fine-scale structural variation analysis. Her work bridges clinical genetics and molecular biology, with applications in diagnostic testing and understanding neurodevelopmental disorders. She collaborates extensively on studies involving autism candidate genes (e.g., MBD5, TBL1X) and genomic pathway analysis. Publications emphasize translational research, including diagnostic improvements for pediatric patients and elucidating genetic architecture in autism. She leads efforts in the DNA Diagnostic Lab to integrate genomic data into clinical practice, focusing on regions of homozygosity and uniparental disomy.

Gheorghe Craciunمشاهده پروفایل

استاد

• Mathematical Biology
• Dynamical Systems
• Chemical Reaction Networks
• +۳ مورد دیگر

Gheorghe Craciun is a Professor in the Department of Mathematics and the Department of Biomolecular Chemistry at the University of Wisconsin-Madison. His research focuses on mathematical and computational models in biology and medicine, particularly dynamical systems models of biological interaction networks. He has been a visiting researcher at the Max Planck Institute for Mathematics in the Sciences during the 2019-2020 academic year and has organized the Madison Workshops on Mathematics of Reaction Networks. Craciun's primary research interests include Mathematical Biology, Dynamical Systems, Chemical Reaction Networks, Computational Biology, Systems Biology, and Algebraic Geometry. He investigates systems of differential equations with polynomial right-hand sides, which are common in biochemical reaction networks, ecological interactions, and epidemiological models. His work often involves proving global stability, analyzing multistability, and characterizing steady states using tools from algebraic geometry and combinatorics. Recent publications demonstrate his focus on toric differential inclusions, endotactic networks, and the global attractor conjecture, extending to applications in biochemical networks and discrete Boltzmann equations. His extensive publication record reveals a strong trend toward algebraic and geometric methods for analyzing complex biological networks, with significant contributions to reaction network theory, stability analysis, and parameter characterization. Craciun's work bridges abstract mathematical concepts with practical applications in biochemistry, ecology, and medicine, including modeling vitellogenin production in trout and peptide mass distributions. He has collaborated extensively with international researchers including Alicia Dickenstein, Anne Shiu, Bernd Sturmfels, Casian Pantea, and Miruna-Stefana Sorea. In education, Craciun teaches graduate courses such as Math 703 and mentors students through the Madison Math Circle and Putnam Club, while organizing specialized workshops that foster collaboration in reaction network theory.

Philip Booneمشاهده پروفایل

عضو هیئت علمی

• Medical Genetics
• Genomics
• Pediatric Genetics
• +۴ مورد دیگر

Philip Boone, MD, PhD, is an Attending Physician in the Division of Genetics and Genomics at Boston Children's Hospital and an Instructor of Pediatrics at Harvard Medical School. He specializes in medical genetics with particular expertise in rare disorders, medical mysteries, deletion and duplication syndromes, and Cornelia de Lange syndrome. Dr. Boone sees patients at Boston Children's Brookline location (2 Brookline Place, 7th Floor) and provides comprehensive genetic care including diagnostics, counseling, and individualized management. Stanford University (Undergraduate, 2006) Baylor College of Medicine (Graduate & Medical School, 2013-2014) Boston Combined Residency Program (Internship & Residency, 2016-2020) Harvard Medical School Genetics Training Program (Fellowship, 2020) Dr. Boone's research focuses on neurodevelopmental disorders, chromatin regulation, and genetic diagnostics. His work spans from fundamental genetic mechanisms to clinical applications, with particular emphasis on cohesinopathies including Cornelia de Lange syndrome. He has contributed significantly to understanding genetic variants associated with growth disorders, developmental features, and structural chromosomal abnormalities. His research combines advanced genomic technologies with clinical insights to improve diagnosis and management of rare genetic conditions. Analysis of Dr. Boone's publication record reveals a strong focus on medical genetics with emphasis on neurodevelopmental disorders, chromatin regulation, and genetic diagnostics. His work spans basic research on gene function and regulation to clinical applications in rare disease diagnosis. A notable trend is his investigation of cohesin complex disorders, particularly SMC3 variants and their relationship to Cornelia de Lange syndrome. His publications demonstrate expertise in both traditional genetic analysis and cutting-edge genomic technologies including long-read sequencing and telomere-to-telomere assembly. Dr. Boone actively contributes to medical education through publications on genetic diagnostics and distance learning resources for medical genetics. He has co-authored educational materials that help advance the field's knowledge base and training capabilities. As an attending physician in the Division of Genetics and Genomics at Boston Children's Hospital and a research fellow in the Center for Genomic Medicine at Massachusetts General Hospital, Dr. Boone works within one of the largest pediatric genetics practices in the country. The division includes over 30 board-certified clinical geneticists, genetic counselors, dieticians, and nursing staff who provide comprehensive care for patients with both common and extremely rare genetic conditions.

• Antibodies
• Bioinformatics
• Cheminformatics
• +۷ مورد دیگر

Dr. Ed E. Moret is an Associate Professor of Computational Medicinal Chemistry at Utrecht University, where he serves as Managing Director of the Utrecht Institute for Pharmaceutical Sciences. He is a member of the Departmental Executive Board and Chair of the Board of Examiners of the School of Pharmacy. His academic career spans over three decades with significant contributions to pharmaceutical sciences. Utrecht University, Utrecht Institute for Pharmaceutical Sciences School of Pharmacy, Department of Chemical Biology and Drug Discovery Managing Director since January 2010 Dr. Moret's educational background includes completing Gymnasium-b at Gymnasium Camphusianum in Gorinchem in 1979, followed by pharmacy studies at Utrecht University until 1988. He earned his PhD in 1993 with research on calculations and simulations of DNA-alkylating cytostatics under supervision of Prof. L.H.M. Janssen and Prof. J.P.A.E. Tollenaere. He also conducted postdoctoral research at the Scripps Research Institute with Prof. A.J. Olson. His primary research interests focus on molecular recognition, particularly in auto-immune diseases, with expertise spanning computational medicinal chemistry, computer-aided drug discovery, cheminformatics, and bioinformatics. Dr. Moret's work bridges the gap between theoretical calculations and experimental validation in drug design. His research portfolio demonstrates a consistent trajectory from fundamental molecular interactions to applied drug discovery, with particular emphasis on enzyme inhibitors, carbohydrate-protein interactions, and molecular recognition processes. Analysis of his publication record reveals a strong focus on structure-based drug design, with significant contributions to the development of inhibitors for enzymes like β-glucocerebrosidase, NNMT, and neuraminidase. His work spans multiple therapeutic areas including lysosomal storage disorders, cancer metabolism, and infectious diseases. The interdisciplinary nature of his research is evident in the integration of computational approaches with experimental validation across biochemistry, pharmacology, and medicinal chemistry. Teacher of the Year (awarded three times by Pharmacy students) Member of editorial boards for Medicines and Conceptuur journals Secretary of Board of FIGON (2016) Secretary of Raad voor de Farmaceutische Wetenschappen (2024) Member of Board of Stichting Farmaceutische Erfgoed (2024) Dr. Moret has been actively involved in educational innovation, developing and coordinating the master's programme Drug Innovation, the profile Drug Regulatory Sciences, and the Honours programme Pharmaceutical Sciences. He has taught courses for pharmacy, chemistry, UCU and medical sciences students, as well as PhD courses in bioinformatics and computer-aided drug discovery. His educational contributions include developing an inquiry-based elective course on drug discovery, for which he published educational research. He holds BKO and SKO teaching qualifications and participated in the Centre of Excellence in University Teaching program. As Managing Director of the Utrecht Institute for Pharmaceutical Sciences, Dr. Moret leads research initiatives across chemical biology, drug discovery, and pharmaceutical sciences. His leadership extends to multiple advisory and editorial roles within the pharmaceutical research community, reflecting his significant contributions to both academic and professional spheres of pharmaceutical sciences.

Mark W Grinstaffمشاهده پروفایل

استاد

• Biomaterials
• Nanotechnology
• Biomedical Engineering
• +۴ مورد دیگر

Mark W Grinstaff is a Professor at Boston University, leading the Grinstaff Group, which focuses on interdisciplinary biomaterials and biomedical engineering research. His work addresses healthcare challenges through innovations in diagnostics, devices, and therapeutics. He holds a B.A. from Occidental College (1987) and a Ph.D. from the University of Illinois at Urbana-Champaign (1992). Research interests include designing biodendrimers for tissue engineering, interfacial biomaterials, and conducting polymer-based sensors. Key areas span cartilage repair, drug delivery systems (e.g., anticancer, DNA), and biodegradable scaffolds. He explores nanoparticle-based imaging agents for osteoarthritis diagnosis and biomechanical assessments using computed tomography. Recent publications highlight advancements in machine learning-driven osteoarthritis classification, dual-contrast agents for cartilage imaging, and synthetic biolubricants for equine models. His group emphasizes translational research, with a focus on nanotechnology, regenerative medicine, and therapeutic delivery platforms. Grinstaff’s work is supported by grants and collaborations, though specific grants are not detailed in the text. He advises students through the Grinstaff Group, though no student names are listed here. His lab develops novel materials and devices, including polymeric adhesives and biosensors, with applications in orthopedics, oncology, and infectious diseases.

• Plant Developmental Biology
• Epigenetics
• Plant Genetics
• +۵ مورد دیگر

Ueli Grossniklaus is an Ordinary Professor at the University of Zurich within the Faculty of Mathematical and Natural Sciences , affiliated with the Department of Plant and Microbiology . His work focuses on plant developmental biology, particularly epigenetic and genetic mechanisms governing reproduction and adaptation. Key Courses: Epigenetics, Plant Biology Workshop, Group Seminars on Current Research Laboratory Techniques: Advanced methods in plant cell mechanics, transcriptomics, and genome editing Research Interests span plant epigenetics, reproductive biology, and the interplay between environmental stress and genetic regulation. He investigates: Mechanistic control of gametogenesis and fertilization Epigenetic contributions to plant adaptation Evolutionary implications of asexual reproduction Biophysical forces in plant cell growth Publication Trends (2025–2018) reveal expertise in: Arabidopsis and fern model systems Epigenetic regulation (DNA methylation, histone dynamics) Apomixis and hybrid seed failure mechanisms Biomechanics of pollen tubes and carnivorous plants Genome editing tools (CRISPR) and long-read sequencing Scientific Collaborations include interdisciplinary projects on: Microfluidic devices for plant cell analysis Gene drive ecology and ethics 3D imaging of plant reproductive structures Advising and Grants focus on mentoring through research internships in developmental biology, genetics, and systems biology. His lab engages in: Epigenetic response to environmental stress Cell wall mechanics in reproduction Computational modeling of plant growth Laboratory Teams integrate plant biologists, bioengineers, and computational scientists to study: Mechanistic gene regulation Evolutionary developmental biology Microrobotics for cellular force measurement

Kyu Y. Rheeمشاهده پروفایل

استاد

• Tuberculosis
• Antibiotic Resistance
• Metabolomics
• +۳ مورد دیگر

Kyu Y. Rhee is a Professor of Medicine and Professor of Microbiology and Immunology at Weill Cornell Medical College . His research focuses on Mycobacterium tuberculosis , with emphasis on metabolic pathways , antibiotic resistance mechanisms , and drug development . Research highlights include: Multi-omic approaches to TB drug discovery Mechanistic studies of antibiotic action Deciphering TB transmission genetics Metabolomics-driven target identification Current funding includes: Bill & Melinda Gates Foundation : AI/ML-assisted bacterial permeability platform National Institute of Allergy & Infectious Diseases : UM1 TB drug regimen design consortium National Heart, Lung, & Blood Institute : Studies on M. tuberculosis PE/PPE proteins and fructose-induced cancer He has authored over 50 publications on TB metabolomics, drug development, and pathogen persistence. His work bridges systems biology , chemical biology , and clinical research to address antimicrobial resistance.

Gerard D Schellenbergمشاهده پروفایل

استاد

• Alzheimer's Disease Genetics
• Neurodegenerative Disorders
• Genomics
• +۴ مورد دیگر

Gerard D Schellenberg is a Professor of Pathology and Laboratory Medicine at the University of Pennsylvania Perelman School of Medicine, with graduate affiliations in Genomics and Computational Biology and Neuroscience. His research focuses on the genetic architecture of Alzheimer's disease and related neurodegenerative disorders, particularly through large-scale genomic studies and neuropathological correlations. Education: B.S. in Biochemistry (minor: Cell Biology), University of California at Riverside, 1973 Ph.D. in Biochemistry (minor: Cell Biology), University of California at Riverside, 1978 NIH Post Doctoral Fellowship, National Institute of Health, 1980-1982 Senior Research Fellow positions at University of Washington departments (1978-1983) Dr. Schellenberg's research program centers on identifying genetic risk factors for Alzheimer's disease through genome-wide association studies (GWAS), whole-genome sequencing, and multi-omics integration. His work emphasizes population diversity, with significant contributions to understanding genetic risk in African American cohorts and sex-specific effects in neurodegeneration. Key focus areas include tauopathies, TDP-43 pathology, and the role of immune-related genes in disease progression. He has pioneered studies on progranulin mutations and their variable phenotypic expression across neurodegenerative conditions. Recent publications reveal a strong trajectory toward multi-ethnic genetic studies, with emphasis on Alzheimer's disease genetics in underrepresented populations , sex differences in cognitive resilience , and novel risk genes like MGMT and DCDC2. His team integrates neuropathological data with genomic findings to establish causal mechanisms, frequently publishing in high-impact journals like Nature Genetics and Alzheimer's & Dementia . Key Scientific Contributions: Leadership in the Alzheimer's Disease Sequencing Project (ADSP) expanding ethnic diversity in genetics research Development of the Alzheimer's Disease Variant Portal (ADVP) for harmonized genetic data Pioneering work on APOE-ε4 modifying loci in African ancestry populations Identification of sex-specific genetic predictors for memory maintenance Dr. Schellenberg directs genomic research initiatives that bridge basic science with clinical neuropathology. His laboratory maintains extensive collaborations with neuropathology cores for autopsy-confirmed diagnoses and leverages multi-ethnic cohorts to address health disparities in dementia research. Current work focuses on elucidating how genetic variants influence tau and TDP-43 pathology across diverse populations, with implications for precision medicine approaches to neurodegenerative diseases.