جست‌وجوی استاد و پژوهشگر

• Lipid Metabolism
• Neurodegenerative Diseases
• Membrane Trafficking
• +۳ مورد دیگر

Mike Henne is an Associate Professor at UT Southwestern and Director of the Lipid Metabolism & Neurodegenerative Diseases (LMND) Program . His research focuses on the intersection of lipid metabolism and neurodegenerative diseases , particularly through the lens of inter-organelle communication and membrane trafficking . Dr. Henne's lab is renowned for pioneering studies on lipid droplets and their roles in neurological health. He combines biochemical , cell biological , and genetic approaches to dissect cellular mechanisms linked to diseases like SCAR20 (spinocerebellar ataxia). His work has identified key proteins such as SNX14 and Mdm1 in organelle tethering and lipid transport. Dr. Henne is a leading figure in the global lipid droplet community , organizing major conferences like the FASEB SRC Lipid Metabolism Conference (2024) and the upcoming FASEB Lipid Droplet Conference (2026). His research has been funded by NIH NIGMS , NIH NIDDK , the Searle Scholars Program , and the Welch Foundation . Scientific Awards & Fellowships : Martha Lee Foster Professorship in Brain Science & Medicine (2025) Max Perutz Prize (for graduate work) Sam & Nancy Fleming Research Fellowship (postdoctoral)

Joseph Bakerمشاهده پروفایل

استاد

• Computational Biochemistry
• Molecular Dynamics Simulations
• Biophysics
• +۳ مورد دیگر

Joseph Baker is a Professor of Chemistry at The College of New Jersey (TCNJ), where he leads the Baker Computational Chemistry Lab within the School of Science. His research focuses on Computational Biochemistry , Molecular Dynamics Simulations , and Biophysics , with an emphasis on bacterial adhesion pili, protein structure-function relationships, and High Performance Computing (ELSA Cluster) . He earned his Ph.D. in Physics from the University of Arizona in 2011. Research Interests : Computational modeling of biomolecular systems, protein mechanics, bacterial surface structures, AI-driven peptide design, and biomechanical stability. Recent Trends : His 2025–2024 publications highlight collaborations with students on histatin-5 interactions, SARS-CoV-2 nanobodies, and force-induced pilus dynamics using tools like ProteinMPNN and Martini coarse-grained simulations. Scientific Recognition includes multiple MUSE Awards , the Barbara Meyers Pelson Award , and the American Chemical Society Outreach Volunteer of the Year Award . He mentors undergraduate and graduate students, including Giovanny Parada , and has secured over $2 million in grants from NSF , NASA , and NIH to study protein resilience and enhance computational infrastructure.

• Programmed Cell Death
• Apoptosis
• Neuroscience
• +۷ مورد دیگر

Dr. Emilie Hollville is a Lecturer at the School of Medicine, Medical Sciences and Nutrition, University of Aberdeen (since 2022), with research focusing on programmed cell death (apoptosis), mitochondrial quality control, and their roles in neurodegenerative disorders and aging. Her work bridges molecular biology, neuroscience, and biomedical sciences. PhD (2009) - Université Paris-Saclay, France MSc (2004) - Université Paris-Saclay, France BSc (2003) - Université de Versailles, France Research interests include: Understanding molecular pathways in neuronal maturation and lifelong survival Role of ubiquitin ligases and apoptosis regulators in neurodevelopment Investigating mitochondrial dysfunction in age-related neurodegenerative diseases (e.g., Parkinson’s) Her publications span topics like miR-29 in aging and neurodegeneration, apoptosis regulation in neurons, and mitophagy mechanisms. She has received the Academy of Medical Sciences Springboard award (2024/26). Supervision includes: Current PhD Students: Paola Muscolino, Sandra Maria Sajan Undergraduate Students: James O'Neill (Summer 2024), Iida Holappa, Jake Bell, Dana Zlateva (Honours 2024) Grants: Royal Society Research Grant (2023/24) UKRI BBSRC EASTBIO PhD Studentship (2023/27) Development Trust SCIO PhD Studentship (2023/27) Laboratory affiliations: Institute of Medical Sciences, School of Medicine, Medical Sciences and Nutrition, and the Laboratory Sustainability Working Group (LABSUS).

Hakmook Kangمشاهده پروفایل

دانشیار

• Biostatistics
• Spatio-temporal Modeling
• Multiple Testing Problems
• +۵ مورد دیگر

Hakmook Kang, PhD, is an Associate Professor of Biostatistics at Vanderbilt University Medical Center, where he holds multiple leadership positions including Director of the Data Science Core at the Vanderbilt Kennedy Center and Associate Director for Graduate Studies at the Data Science Institute. His academic appointments reflect significant contributions to quantitative methodologies in medical research. Education: Ph.D. in Biostatistics from Brown University M.S. in Statistics from the University of Rhode Island M.S. in Pharmaceutical Science from the University of Rhode Island B.S. in Chemical Engineering from the University of Minnesota Research Focus: Dr. Kang specializes in developing advanced statistical methods for complex biomedical data, particularly spatio-temporal modeling and multiple testing frameworks applied to neuroimaging. His interdisciplinary work bridges biostatistics, neuroscience, and machine learning, with applications spanning Parkinson's disease, epilepsy, dementia, diabetes, and cancer diagnostics. Current investigations focus on brain connectivity patterns, neuroimaging biomarkers, and radiomics for tumor classification. Publication Trends: Recent articles (2024-2025) demonstrate methodological innovation in neuroimaging analysis, particularly fMRI and PET data processing, with strong clinical applications in neurology and oncology. Recurring themes include Parkinson's pathophysiology, epilepsy networks, diabetes progression biomarkers, and machine learning applications in radiology. Institutional Roles: Director, Data Science Core (Vanderbilt Kennedy Center) Associate Director for Graduate Studies (Data Science Institute) Affiliated with Vanderbilt Biostatistics Data Coordinating Center (VBDCC) and Vanderbilt Technologies for Advanced Genomics (VANGARD)

• Ecological Interactions
• Nutritional Ecology
• Behavioral Ecology
• +۵ مورد دیگر

Shawn Wilder is a Professor in the Department of Integrative Biology at Oklahoma State University. His research focuses on trophic interactions and nutritional ecology of arthropods, examining how predator-prey relationships affect nutrient flows in ecosystems. He holds a PhD in Integrative Biology from Miami University and has held academic positions including Associate Professor (2019-2025) and Assistant Professor (2014-2019) at OSU. Prior to this, he served as an ARC DECRA Fellow and Lecturer at the University of Sydney (2013-2014) and held postdoctoral roles at University of Sydney (2010-2012) and Texas A&M University (2007-2010). Wilder’s research investigates nutrient regulation by predators, predator effects on soil and plant processes, and the impacts of land management on arthropod biodiversity. He teaches courses such as Invertebrate Zoology , Behavioral Ecology , and oversees graduate research through Research for PhD Dissertation . His work has been funded through grants like the Digestive Ecology of the Northern Bobwhite (2025) and Effects of Multiple Stressors on Pollinator Health (2018-2023). His studies reveal how predators influence nutrient cycling, with recent work showing spider waste enhances soil respiration and plant growth. He also explores how prey nutrient content drives predator foraging behavior and ecosystem-level consequences. Wilder collaborates widely, contributing to over 70 scholarly works, and maintains an active research group focused on ecological and nutritional dynamics.

Paul Campagnolaمشاهده پروفایل

عضو هیئت علمی

• Biomedical Engineering
• Cell Biology
• Medical Imaging
• +۳ مورد دیگر

Paul Campagnola is an Affiliated Professor in the Department of Physics at the University of Wisconsin-Madison. His research focuses on advanced optical imaging techniques, particularly second harmonic generation (SHG) microscopy, to study collagen architecture alterations in diseases such as ovarian cancer, idiopathic pulmonary fibrosis, and lichen sclerosus. He specializes in developing biomimetic models and computational tools to analyze extracellular matrix dynamics and cell-matrix interactions. His work bridges physics, biomedical engineering, and oncology, emphasizing translational applications in diagnostics and therapeutics. Education: No explicit education details provided. Research Interests: Optical microscopy innovations for biomedical applications Collagen structure analysis in disease progression 3D tissue imaging and modeling Machine learning for image data interpretation Recent Research Trends: Recent articles emphasize SHG imaging applications in cancer pathology, fibrotic diseases, and biomaterials. Studies highlight collagen's role as both a structural and functional biomarker, with focus on computational modeling and multiscale imaging techniques. Grants & Advising: No grants or advisees explicitly listed. Active in interdisciplinary collaborations involving physics, engineering, and clinical medicine. Labs & Teams: Engaged in tissue engineering and biophotonics research groups, though specific lab affiliations are not detailed in provided text.

Michael Hendersonمشاهده پروفایل

دانشیار

• Parkinson’s disease
• Neurodegenerative disease models
• α-synuclein pathology
• +۴ مورد دیگر

Dr. Michael Henderson is an Associate Professor in the Department of Neurodegenerative Science at Van Andel Institute (VAI) and Director of the VAI Brain Bank. His research focuses on neurodegenerative diseases like Parkinson’s and dementia with Lewy bodies (DLB), investigating protein pathologies (e.g., α-synuclein, tau) and genetic risk factors (e.g., LRRK2, GBA1). He earned his B.Sc. in Biological Science from Florida State University, Ph.D. in Neuroscience from Yale University (under Dr. Sreeganga Chandra), and conducted postdoctoral work at the University of Pennsylvania (with Drs. Virginia Lee and John Trojanowski). Promoted to Associate Professor in 2024, his lab combines primary neuron cultures, animal models, and computational modeling to study disease mechanisms and therapeutic targets. Key research areas include: (1) Mapping α-synuclein pathology spread via brain connectivity networks, (2) Evaluating LRRK2 kinase inhibitors and glucocerebrosidase modifiers, (3) Identifying cell-type vulnerabilities using spatial transcriptomics, and (4) Translating discoveries into clinical trials. His lab has published over 120 peer-reviewed papers, including 63 in high-impact journals (2024 alone). Notable grants include a $5.8M NIH grant (2025) studying cellular senescence in Parkinson’s and a $9M Aligning Science Across Parkinson’s award (2021). Awards include the NSF Graduate Research Fellowship (2012) and NIH Ruth L. Kirschstein Award (2017). His team includes 10+ advisees (Ph.D. students, postdocs, and technicians), with active collaborations across institutions like Yale and the University of Pennsylvania. The Henderson Lab aims to accelerate therapies by bridging basic science and clinical applications.

Nancy Zeleznik-Leمشاهده پروفایل

استاد

• MLL leukemias
• Hematopoiesis
• Chromatin-mediated gene regulation
• +۳ مورد دیگر

Nancy Zeleznik-Le, PhD, serves as Chair and Professor in the departments of Cancer Biology and Medicine at Loyola University Chicago. Her research focuses on understanding the molecular mechanisms driving MLL leukemias, particularly how oncogenic MLL fusion proteins disrupt normal hematopoietic processes. She employs advanced cellular and molecular techniques to study chromatin regulation and epigenetic dysregulation in cancer. Education: BS in Microbiology & Immunology (Ohio State University), PhD in Immunology/Cellular and Molecular Biology (Duke University), Postdoctoral Fellowship (Lineberger Cancer Research Center, UNC-Chapel Hill). Key research interests include MLL fusion protein biology, hematopoiesis regulation, and chromatin-mediated gene regulation. Her work explores therapeutic strategies targeting epigenetic mechanisms in leukemia, such as DOT1L inhibition and miRNA-mediated pathways. Publications span studies on MLL-AF9/BCOR interactions, miR-17-92 cluster roles in leukemia, and epigenetic biomarkers in AML prognosis. Her interdisciplinary approach integrates structural biology, genomics, and in vivo models to advance cancer therapy.

• Fragment-based drug design
• Molecular characterization of NAD+ metabolism
• Computational drug discovery
• +۷ مورد دیگر

Dr. Yun Shi is an ARC DECRA Fellow and NHMRC Investigator (Emerging Leadership) at Griffith University's Institute for Biomedicine and Glycomics. He holds a PhD in Chemistry from Simon Fraser University (2015) and has led research in NAD+ metabolism mechanisms, fragment-based drug discovery, and structural enzymology. His work focuses on neurodegenerative diseases and infectious disease targets, leveraging computational and biochemical methods. Key achievements include developing NMR-based drug discovery platforms and elucidating SARM1's role in axon degeneration. Research interests span molecular pharmacology, structural biology, and biochemistry. Recent work highlights include structural characterization of bacterial immune systems (2025), SARM1 inhibition strategies (2022–2023), and computational approaches for binding affinity prediction (2022). Awards include a 2024 Research Excellence Award and Young Scientist Fellowship (2024). Grants include NHMRC funding ($433k, 2025–2029) for neuroprotection research and ARC DECRA support ($503k, 2025–2027). He leads research groups within Griffith's interdisciplinary biomedicine institutes, collaborating internationally on drug discovery and structural biology.

• Surface and Corrosion Science
• Biomaterials
• Colloid and Surface Chemistry
• +۴ مورد دیگر

Dr. Yizhen Yan is a Research Fellow at the University of Sussex's Department of Engineering and Design (since July 2024). He holds a Ph.D. (2024) and Bachelor's degree (2018) from East China University of Science and Technology. His research focuses on surface and corrosion science, exploring lignin and mussel adhesive proteins as sustainable anti-corrosion agents for carbon steel, alongside advancements in crystallization processes using hydrogels and polymer materials. He also held a Visiting Research position at the Royal Institute of Technology's Surface and Corrosion Science division (Aug 2024–Feb 2025). Research interests include colloid and surface chemistry, electrochemistry, biomaterials, and pharmaceutical sciences. His work bridges fundamental materials science with applied engineering solutions for sustainability and drug development. His recent publications emphasize crystallization control mechanisms, nucleation kinetics, and drug delivery systems. Key contributions include dual-drive strategies for protein crystallization and selective polymorph crystallization in supramolecular gels. His research integrates experimental methods with computational modeling (e.g., molecular dynamics, DFT simulations) to understand complex material behaviors. No scientific awards explicitly mentioned.

Paul A. Craigمشاهده پروفایل

استاد

• Computational Biochemistry
• Bioinformatics
• Structural Biology
• +۵ مورد دیگر

Paul A. Craig is a Professor at the School of Chemistry and Materials Science within the College of Science at Rochester Institute of Technology (RIT). He holds a Ph.D. in Biological Chemistry from the University of Michigan and completed a postdoctoral fellowship at Henry Ford Hospital. His career spans over two decades at RIT, where he also serves as Department Head. BS, Chemistry (Oral Roberts University, 1979) PhD, Biological Chemistry (University of Michigan, 1985) Postdoc, Biophysical Chemistry of Blood Clotting (Henry Ford Hospital, 1985–1988) Rochester Institute of Technology (1993–present) Research Interests Dr. Craig’s work focuses on integrating computational tools with wet-lab techniques to enhance biochemistry education. He pioneered the BASIL (Biochemistry Authentic Scientific Inquiry Lab) curriculum, which fosters hypothesis-driven learning through protein structure-function analysis. His projects include: Python Scripting Workshops : Teaching coding skills via Jupyter Notebooks for biochemistry and molecular biology applications. Human Visualization Project : Collaborating across RIT’s College of Science, College of Art and Design, Golisano College of Computing and Information Sciences, and Kate Gleason College of Engineering to develop a 3D virtual human model. JBioFramework : Java-based simulations for electrophoresis, chromatography, and mass spectrometry. Scientific Awards Dr. Craig has been recognized with the ASBMB Fellow (2022) for his contributions to education and diversity. Advising and Grants He has mentored numerous students in biochemistry and computational projects. In 2023, he secured an NSF grant ($588,000) to expand the BASIL CURE program nationwide. RIT also received a NIH DEIA award (2024) for diversity and inclusion efforts in biomedical research, reflecting his advocacy for deaf and hard-of-hearing scientists. Labs and Teams Dr. Craig leads the BASIL Research Group, collaborating with faculty and students across RIT’s multidisciplinary Human Visualization Project. His team includes contributors to the Electro2D-Tandem MS simulation software, written entirely by RIT students.

Nicholas Ching Hai Wuمشاهده پروفایل

دانشیار

• Immunology
• Virology
• Molecular Evolution
• +۳ مورد دیگر

Nicholas Ching Hai Wu is an Associate Professor at the University of Illinois at Urbana-Champaign , affiliated with the Department of Biochemistry and the Carl R. Woese Institute for Genomic Biology. His research focuses on viral evolution, antibody specificity prediction, and vaccine design optimization. Ph.D., University of California, Los Angeles (2015) Postdoc, The Scripps Research Institute (2020) Wu's work primarily addresses Influenza viruses and SARS-CoV-2 , utilizing molecular virology, protein biochemistry, structural biology (x-ray crystallography, cryo-EM), and machine learning. His lab investigates evolutionary constraints of viral proteins, cross-reactive antibody responses, and next-generation vaccine platforms. Recent publications highlight his contributions to neuraminidase antibody discovery , epistasis in antibody fitness , and deep mutational scanning of viral proteins. Wu's team has developed methods for binding affinity measurements using BLI and high-throughput antibody screening via oPool+ display. Scientific Awards : Vallee Scholar Award (2024), Searle Scholar Award (2022), NIH Director's New Innovator Award (2021), among 10+ distinctions Grants : NIH Pathway to Independence Award (2019), Croucher Postdoctoral Fellowship (2015-2017)

Kyoungmi Kimمشاهده پروفایل

استاد

• Statistical Genetics/Genomics
• Biomarker Discovery
• Quantitative Genetics
• +۴ مورد دیگر

Kyoungmi Kim, Ph.D. is a Professor in the Department of Public Health Sciences at the UC Davis School of Medicine. Her research focuses on statistical genetics/genomics and omics data integration, with particular emphasis on biomarker discovery for diseases like cancer, genetic disorders, and multi-factorial chronic conditions. She develops computational methods for analyzing complex genetic data and has contributed to interdisciplinary projects studying heart disease, metabolic disorders, and neurodegenerative diseases. Education: B.S. in Undergraduate School, Chungnam National University (1997) M.S. in Applied Mathematics, University of Kentucky (1999) Ph.D. in Statistics, University of Kentucky (2003) Fellowship in Statistical Genetics and Genomics, University of Alabama at Birmingham (2003-2005) Research Interests: Combines quantitative genetic analysis with bioinformatics to identify disease genes and molecular functions using multi-omics data. Focus areas include early disease detection (e.g., cancers), therapeutic response prediction, and patient stratification risk assessment. Active in team-science projects addressing genetic components of chronic conditions like neurodegenerative diseases. Notable Achievements: Recipient of Med/Surg Research Award (2010) Junior Faculty Leadership Program participant (2007) RL Anderson Award for Best Student (2003) Lab Affiliations: Collaborates with the UC Davis MIND Institute and engages in interdisciplinary initiatives at the School of Medicine. Develops statistical methodologies for omics data integration and biomarker validation.

• Computational Structural Biology
• Statistical Machine Learning
• DNA Shape Prediction
• +۴ مورد دیگر

Remo Rohs is a tenured Professor of Quantitative and Computational Biology, Chemistry, Physics and Astronomy, Computer Science, and Biomedical Engineering at the University of Southern California Dornsife College. He leads the Rohs Lab, focusing on integrating genomics and structural biology to uncover molecular mechanisms in gene regulation. Chair, Department of Quantitative and Computational Biology (2021–2024) Section Head, Quantitative and Computational Biology (2018–2020) Full Professor with Tenure at USC (2016–present) Research Interests center on: Computational structural biology DNA shape prediction Protein-DNA recognition mechanisms Epigenetic effects on binding specificity RNA structure modeling High-throughput genomic analysis His work combines artificial intelligence , molecular simulations , and experimental validation to study transcription factors and chromatin structure. Recent publications highlight deep learning methods for DNA/RNA structure prediction and database development for molecular interactions. Scientific Awards include: Sloan Research Fellowship (2013–2017) Multiple RECOMB/ISCB Top-Paper Awards (2012–2017) American Chemical Society OpenEye Outstanding Junior Faculty Award (2015–2016) USC Mentoring Award (2015–2016) He has supervised 13 PhD graduates and published 92+ peer-reviewed papers . His lab develops tools like DNAproDB and TFBSshape for structural analysis of nucleic acid complexes.

Lennart Martensمشاهده پروفایل

استاد

• Bioinformatics
• Biomedical Analytics
• Predictive Modelling
• +۵ مورد دیگر

Lennart Martens is a Professor of Systems Biology at Ghent University and serves as Group Leader and Associate Director at the VIB-UGent Center for Medical Biotechnology . He leads the Computational Omics and Systems Biology Group (CompOmics), focusing on Machine Learning applications in high-throughput omics data. His research involves developing AI-driven algorithms for proteomics data analysis, including tools like DeepLC for retention time prediction and MS2Rescore for improved peptide identification. He contributes to open-source proteomics software and FAIR data practices. Fellow of the Royal Society of Chemistry Prometheus Award for Research Excellence (Ghent University, 2014) Juan Pablo Albar 'Proteomics Pioneer' Award (European Proteomics Association, 2015) He has authored over 220 research papers, co-authored two Wiley textbooks on mass spectrometry bioinformatics, and organized Dagstuhl Seminars on computational proteomics. His editorial roles include membership on the boards of Molecular & Cellular Proteomics , Molecular BioSystems , and PeerJ .