Find Academic Supervisors

• Liver Immunology
• Immune Tolerance
• Transplant Immunology
• +5 more

Associate Professor Patrick Bertolino at the University of Sydney's Central Clinical School leads the Liver Immunology Program at the Centenary Institute. With 20+ years of international recognition in liver immunology , he pioneered discoveries about CD8+ T cell activation and hepatocyte-mediated immune tolerance , including the paradigm-shifting finding that liver-activated T cells are deleted via hepatocyte lysosomes. His work bridges transplantation immunology , chronic hepatitis , and malaria vaccine development using transgenic mouse models . Trained by immunology luminaries: Chantal Rabourdin-Combe (ENS-Lyon), Jacques Miller (WEHI), Barbara Fazekas de St Groth (Centenary Institute) Continuous NHMRC funding since 2000: 2 Program Grants, 6 Project Grants 2010 NHMRC Senior Research Fellowship Research Themes explore how the liver uniquely regulates immunity: Induces transplant tolerance via T cell deletion Exploits immune subversion in hepatitis B/C and malaria Develops gene therapy and mRNA vaccines for liver-targeted immunity Investigates hepatitis C reinfection post-transplant Article Trends show sustained focus on T cell-liver interactions , with recent work on mRNA vaccines (2023), neuroinflammation in GVHD (2024), and long-lived TRM cells in malaria (2025). Publications span high-impact immunology , hepatology , and transplantation journals . Awards include: 2010 NHMRC Senior Research Fellowship 2009 Centenary Institute student paper award 1999 Kevin Lafferty Prize for Autoimmunity 1997 University of Sydney U2000 Fellowship Teaching includes 3rd-year Immunology lectures (since 1998). Led liver immunology group since 2011, mentoring students and postdocs. Collaborates with Centenary Institute and National Hepatitis C Elimination Program .

Glenn DaehnView profile

Professor

• Advanced manufacturing
• Materials processing
• Plastic deformation
• +7 more

Glenn Daehn is the Mars G. Fontana Professor of Metallurgical Engineering at The Ohio State University , where he has served as faculty since 1988. His work bridges materials science , advanced manufacturing , and STEM education , with leadership roles in initiatives like the Ohio Manufacturing Institute and NSF's HAMMER Center. Ph.D. & M.S., Materials Science & Engineering, Stanford University B.S., Materials Science & Engineering (departmental honors), Northwestern University Professor Daehn specializes in impulse-based manufacturing , focusing on plastic deformation , impact welding , and solid-state joining of dissimilar materials. His research drives innovations in lightweight materials, aerospace manufacturing, and biomedical device fabrication. His publications reveal a strong emphasis on dynamic material processing , robotic manufacturing , and sustainable materials systems . Recent work explores orbital cold welding and AI-enhanced surgical plate bending systems. ASM Marcus A. Grossman Young Author Award (1990) Army Research Office Young Investigator Award (1992) 2022 ASM Gold Medal Award Ranked top 2% of scientists worldwide (2021) Daehn has received multiple Lumley Research Awards and led groundbreaking projects including Metamorphic Manufacturing and Hybrid Autonomous Manufacturing . He maintains active collaborations with industry through initiatives like the Center for Design and Manufacturing Excellence .

Zhang YangView profile

Associate Professor

• Artificial Intelligence in Biomedical Imaging
• Deep Learning for Omics Data Analysis
• Pathogen Detection and Diagnostics
• +7 more

Zhang Yang is an Associate Professor at the School of Medical Engineering, Harbin Institute of Technology (Shenzhen), with a joint appointment as Visiting Professor at the University of Tokyo starting in July 2024. He holds a PhD from the University of Cambridge's Department of Pathology and an M.Phil. from the University of Hong Kong's HKU-Pasteur Research Center. Previously, he served as an Assistant Professor at Harbin Institute of Technology (Shenzhen) from September 2015 to December 2020. His research integrates computational and experimental approaches to address challenges in pathogen and cancer research. On the computational side, his work focuses on developing AI-powered microscopic imaging systems, applying deep learning to analyze multi-omics data (including proteins, DNA, miRNAs, LncRNAs, and mRNAs), and utilizing deep learning in cheminformatics for drug discovery. On the experimental side, his laboratory combines imaging, high-throughput sequencing, mass spectrometry, and chemical biology to understand disease mechanisms at the molecular level. His publication record demonstrates significant impact, with over 50 SCI-indexed papers in high-impact journals including Nature Communications, Briefings in Bioinformatics, Bioinformatics, Analytical Chemistry, and Trends in Biotechnology. His work has been cited by prestigious journals such as Nature Reviews Methods Primers and Nature Communications, with three ESI highly cited papers. His research spans multiple interdisciplinary fields, combining artificial intelligence with biomedical applications to advance diagnostic and therapeutic approaches. World's Top 2% Scientists 2021 Fellow of the Royal Society of Biology Three ESI Highly Cited Papers Five authorized national invention patents As an academic leader, he serves as Associate Editor for BMC Biology and Frontiers in Microbiology, Academic Editor for PLOS Genetics, Editorial Board Member for Communications Biology, and Guest Editor for a Special Issue on AI in analytical chemistry in Trends in Analytical Chemistry. His laboratory actively collaborates with international institutions, with graduates pursuing further studies at Hong Kong Chinese University, Hong Kong University of Science and Technology, Hong Kong Polytechnic University, Macau University, and the University of New South Wales. He teaches Introduction to Modern Biology for undergraduates and Bioanalytical Chemistry for graduate students.

Daniel BaumView profile

Research Professor

• Scientific Visualization
• Computational Biology
• Image Analysis
• +6 more

Daniel Baum is a Research Professor and Head of the Visual Data Analysis research group at the Zuse Institute Berlin (ZIB), which is affiliated with Freie Universität Berlin. His work spans across scientific visualization, computational biology, and image analysis, with a particular focus on developing methods for analyzing complex biological structures and neural circuits. He is actively involved in multiple interdisciplinary research projects including HFSP Chitons, Geometric Learning for Single-Cell RNA Velocity Modeling, and RobustCircuit. Dr. Baum's research interests center on visual and data-centric computing approaches to solve complex problems in biology and medicine. His work bridges the gap between computational methods and biological applications, with significant contributions to cryo-electron tomography analysis, neural circuit mapping, and geometric morphometrics. He develops innovative algorithms for 3D reconstruction, image segmentation, and visualization of biological structures, from molecular to organismal scales. His publication record demonstrates consistent contributions to visualization techniques applied to biological problems, with recent work focusing on neural circuit analysis in zebrafish and Drosophila, biomechanical studies of animal structures, and advanced methods for analyzing ancient artifacts. The research shows a clear trajectory toward increasingly sophisticated multimodal data integration and machine learning approaches. Dr. Baum leads a productive research group with several key collaborators who frequently appear as co-authors on his publications, indicating a strong mentoring relationship. His projects involve substantial funding from various sources supporting interdisciplinary collaborations across biology, computer science, and engineering. His laboratory at ZIB focuses on visual data analysis for complex biological systems, with particular strength in developing computational methods for neuroscience applications and biomaterial analysis. The group maintains strong collaborations with multiple institutions working on cutting-edge imaging technologies and biological model systems.

• MRI Physics
• Quantitative MRI
• Oncological Imaging
• +15 more

Jie Deng, Ph.D., is a Professor in the Department of Radiation Oncology at UT Southwestern Medical Center, where she serves as faculty in the Division of Medical Physics & Engineering. She is a certified MRI and MRI for radiation therapy medical physicist by the American Board of Medical Physics and holds a leadership role as a magnetic resonance safety officer. Dr. Deng is actively involved in both clinical and research aspects of medical imaging and radiotherapy, with a strong emphasis on integrating advanced imaging technologies into therapeutic workflows. Dr. Deng earned her academic degrees from prestigious institutions: a Bachelor of Science in Biomedical Engineering from Southeast University in China, a Master’s in Bioengineering from the University of Illinois at Chicago, and a Ph.D. in Biomedical Engineering from Northwestern University. She further enhanced her expertise by obtaining a Master of Science in Law from the Northwestern Pritzker School of Law, reflecting a multidisciplinary approach to her scientific work. Her research interests center on MRI physics , quantitative imaging , oncological imaging , and the application of artificial intelligence in medical imaging. She has pioneered work in MRI-guided radiation therapy, imaging biomarkers for therapeutic response, and AI-driven image reconstruction and artifact reduction. Her recent publications demonstrate a consistent focus on improving imaging accuracy, speed, and clinical utility, particularly in liver, pediatric, and oncological applications. The analysis of her 15 most recent articles reveals a strong trend toward deep learning-based image reconstruction , quantitative MRI biomarkers , and synthetic image generation for radiotherapy planning. Topics such as 4D-MRI, synthetic CT, motion artifact reduction, and AI fusion models dominate her scholarly output, indicating a forward-looking research trajectory centered on intelligent, fast, and precise imaging for personalized cancer therapy. Dr. Deng actively contributes to the scientific community through presentations at major conferences including the International Society for Magnetic Resonance in Medicine (ISMRM) and the American Association of Physics in Medicine (AAPM), where she shares innovations in MRI, adaptive radiotherapy, and AI integration. As an educator, Dr. Deng mentors medical physics residents and graduate students, delivering lectures on MR-only simulation, MR-linear accelerator practices, and medical imaging fundamentals. While no specific grants are mentioned in the text, her extensive publication record in high-impact journals suggests active research funding and collaborative projects. She is affiliated with key professional organizations and serves on UT Southwestern’s MRI Safety Committee, ensuring safe and effective use of MRI in clinical and research settings. Her work bridges the gap between engineering innovation and clinical application, making significant contributions to the field of radiation oncology and medical physics.

• Biophysics
• Computational Biology
• Systems Biology
• +5 more

Milo Lin is an Associate Professor in the Lyda Hill Department of Bioinformatics at UT Southwestern Medical Center, a position he has held since September 2024. He initially joined the department as an Assistant Professor in 2021 and has been a member of the Cecil H. and Ida Green Center for Systems Biology since 2015. His educational background includes a B.S. and Ph.D. in Physics from Caltech, earned in 2006 and 2012 respectively, under the mentorship of Ahmed Zewail. He completed his postdoctoral training as a Miller Independent Research Fellow at UC Berkeley from 2012 to 2015, hosted by David Chandler. Dr. Lin's research focuses on the physical and computational principles underlying biological processes, particularly protein folding and systems-level biological dynamics. His work bridges physics, biology, and computational modeling, aiming to uncover fundamental mechanisms in cellular function. His research has been supported by his position as the Cecil H. and Ida M. Green Endowed Scholar in Biomedical Computational Science and recognition as a Miller Fellow. He leads the Lin Lab, which is dedicated to advancing computational and theoretical approaches in biophysics. Cecil H. and Ida M. Green Endowed Scholar in Biomedical Computational Science Miller Independent Research Fellow Dr. Lin advises students and researchers through his laboratory, fostering training in interdisciplinary computational and biophysical sciences. While specific grants are not listed, his endowed scholar position and fellowship history indicate sustained research support. He is actively involved in the academic and research mission of the Department of Bioinformatics and the Green Center for Systems Biology. The Lin Lab serves as the primary research team under Dr. Lin's leadership, focusing on integrating physical theory with biological data to model complex cellular behaviors.

• Reproductive Biology
• Placental Development
• Developmental Origins of Health and Disease (DOHaD)
• +4 more

Jayne Charnock is a Senior Lecturer in Biomedical Science at Edge Hill University, specializing in reproductive biology with a focus on implantation, placental development, and the Developmental Origins of Health and Disease (DOHaD). Her career spans research in placental vascular development, wound healing, and maternal-fetal health, alongside teaching roles in pathology, anatomy, and pharmacology. Education: BSc (Hons) in Anatomical Sciences PhD from University of Manchester (cytotrophoblast research with Professors John Aplin and Melissa Westwood) Jayne’s research explores placental blood vessel formation, placental stem cells, regulators of implantation, pregnancy in polycystic ovary syndrome (PCOS), and prenatal programming. Her work emphasizes in vitro models of cell function and translational applications for fetal growth restriction and maternal health. Recent publications highlight her expertise in placental vasculogenesis, PCOS effects on embryo implantation, and prolactin transcription dynamics. Collaborative projects address dietary impacts on recurrent miscarriage and trophoblast-stem cell interactions. Jayne mentors Final Year Project students and engages in public science outreach, including STEM Ambassador roles and partnerships with local schools and the Scout Association.

Bradley ReavesView profile

Associate Professor

• Cyber Security
• Network Security
• Mobile Security
• +2 more

Bradley Reaves serves as an Associate Professor in the Department of Computer Science at North Carolina State University and is a core member of the Wolfpack Security and Privacy Research (WSPR) Lab and the Secure Computing Institute. His work focuses on real-world security and privacy challenges across cellular networks, mobile platforms, and software systems. Education: Ph.D. in Computer Engineering, University of Florida (2017) M.S. in Computer Science, Georgia Institute of Technology (2015) Research Interests: Dr. Reaves pioneers interdisciplinary security solutions combining signal processing, machine learning, and cryptography to combat robocalls, mobile fraud, and software vulnerabilities. His work spans telephone network security (e.g., call authentication systems), mobile money security in developing economies, and software secret leakage in repositories. He emphasizes practical impact through industry collaboration and deployable tools. Publication Trends: Recent work (2023-2024) shows concentrated focus on telecom security (call traceback, SMS phishing), software vulnerability management (LLM-assisted patching, secret leakage), and network policy systems . His research consistently bridges theoretical innovation with real-world data collection, including analysis of 1.5 million robocalls and mobile money transaction fraud. Awards: Best Paper at ACM WiSec (2013) Advising and Collaborations: Dr. Reaves mentors Ph.D., Master's, and undergraduate researchers through structured pathways: Ph.D. applicants must demonstrate specific interest in his publications; Master's students typically engage via courses like CSC 574; undergraduates require CSC 230 completion and 10+ weekly hours. Industry partnerships include data sharing under confidential agreements, student hiring pipelines, and commissioned research for telecom fraud analysis. Labs and Teams: He leads the Wolfpack Security and Privacy Research (WSPR) Lab, which operates within NC State's Secure Computing Institute. The lab specializes in large-scale security measurement studies and develops tools like SNORCall for robocall analysis and SecretBench for secret leakage detection.

• Pharmaceutical Nanotechnology
• Biomaterials
• Photon Upconversion
• +7 more

Timo Laaksonen is a Professor of Pharmaceutical Nanotechnology at the Faculty of Pharmacy, University of Helsinki , Finland. His research spans biomaterials, photo-activated systems, and controlled drug release mechanisms, with a focus on nanocellulose applications and photon upconversion technologies. Doctor of Science (Technology), Helsinki University of Technology (2007) Master of Science (Technology), Helsinki University of Technology (2002) Docent, University of Helsinki (2010) Research interests include: Utilizing nanofibrillar cellulose for sustained drug delivery Developing light-responsive hydrogels via triplet energy transfer Advancing photon upconversion for low-power drug release Modeling drug release kinetics from nanomaterials His recent publications highlight trends in DNA origami nanocarriers , liposomal photorelease , and 3D-printable hydrogels , blending nanophotonics and biomaterials engineering . Awards include the Young Researcher's Award 2012 and Gust. Komppa Prize 2008 for his doctoral thesis. He supervises doctoral research and leads projects like Bioblocks (Foundation for Pharmaceutical Sciences) and TARDIS (Academy of Finland).

Aleksandr ZinovievView profile

Research Fellow

• Additive manufacturing
• Metal 3D printing
• Materials science
• +6 more

Aleksandr Zinoviev is a Senior Research Associate at the School of Engineering and Information Technology (SEIT) at UNSW Canberra, where he has been working since 2022. His research spans multiple institutions across the globe, including previous positions at Siemens Digital Industries Software in Belgium, University of Bremen and AMSIS GmbH in Germany, and Institute of Strength Physics and Materials Science of the Russian Academy of Sciences and Tomsk Polytechnic University in Russia. He has also conducted research stays at the University of Bremen (Germany) and São Paulo State University (Brazil). Dr. Zinoviev's research interests are highly interdisciplinary, focusing on metal additive manufacturing, thermodynamics of materials, computational materials science, solid mechanics, software engineering, and machine learning. He specializes in developing and applying novel knowledge-based approaches to address engineering challenges, particularly in improving materials and parts produced by advanced manufacturing, optimizing production processes, and enhancing data processing. His work bridges the gap between fundamental materials science and practical engineering applications, with a strong emphasis on computational modeling and simulation. Analysis of his recent publications (2021-2025) reveals a consistent focus on additive manufacturing process modeling, microstructure-property relationships in additively manufactured metals, and computational approaches to materials science. His research particularly emphasizes cellular automata modeling, multiscale simulation techniques, and the application of machine learning to materials processing. The publications demonstrate expertise in both experimental characterization and advanced computational methods for predicting mechanical behavior of additively manufactured components. Dr. Zinoviev actively mentors prospective PhD and Research Master's candidates, offering guidance on topics related to thermal modeling of additive manufacturing and process optimization. He has indicated that scholarships of up to $35,000 (AUD) are available for qualified candidates who achieved High Distinction in their undergraduate program and/or have completed a Masters by Research.

• Computational Genomics
• Single-Cell Genomics
• Immunology
• +3 more

Dr. Stephen Sansom serves as Associate Professor and Group Leader of the Computational and Single Cell Genomics Group at the University of Oxford's Kennedy Institute. His work bridges computational biology with immunology to decode inflammatory disease mechanisms through advanced genomic approaches. His academic foundation includes a BSc (Hons) in Biochemistry from the University of Dundee (2001) followed by a DPhil in Developmental Biology through the Wellcome Trust 4-year PhD programme at the University of Cambridge. Postdoctoral research at the Gurdon Institute with Dr. Rick Livesey established his expertise in genomic analysis of neural development. Dr. Sansom's research centers on computational genomics of immune processes, particularly central tolerance mechanisms and inflammatory disorders. His group pioneers single-cell genomic methodologies to dissect cellular heterogeneity in conditions like inflammatory bowel disease, rheumatoid arthritis, and atherosclerosis. Key innovations include developing frameworks for analyzing promiscuous gene expression in thymic epithelia and deconvoluting monocyte responses in immune-mediated diseases through collaborative projects with experimental immunologists. Analysis of his recent publications reveals dominant themes in macrophage biology during atherosclerosis progression, B/T cell dynamics in viral infections (including influenza and COVID-19), and stromal cell contributions to joint destruction in arthritis. His work consistently identifies novel cellular states and molecular networks driving pathogenesis, with strong emphasis on translational relevance for therapeutic targeting. Supported initially by an MRC Career Development Fellowship in Chris Ponting's CGAT program, Dr. Sansom now directs the Computational Genomics team he established at the Kennedy Institute in 2014. His collaborative model integrates computational expertise with wet-lab immunology across multiple Oxford research groups. The Sansom Group operates as the Computational and Single Cell Genomics Group within the Kennedy Institute, maintaining specialized pipelines for high-dimensional genomic data analysis. Current efforts focus on scaling single-cell multi-omics approaches to track immune cell evolution during chronic inflammation and infection.

Christopher D. LimaView profile

Professor

• Structural Biology
• Ubiquitin and Ubiquitin-like Protein Pathways
• RNA Processing and Decay
• +6 more

Christopher D. Lima is a Professor and Chair of the Structural Biology Program at the Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, and an Investigator at the Howard Hughes Medical Institute. He holds academic appointments at Weill Cornell Graduate School of Medical Sciences and is affiliated with the Tri-Institutional PhD Program in Chemical Biology. His research focuses on structural and biochemical mechanisms of ubiquitin and ubiquitin-like protein pathways and RNA quality control. PhD, Northwestern University Postdoctoral Training, Columbia University (Helen Hay Whitney Fellow) Dr. Lima’s research investigates the structural basis of post-translational modifications, particularly ubiquitination and SUMOylation, and RNA processing pathways. His lab combines cryo-EM, X-ray crystallography, and biochemistry to study enzyme mechanisms in ubiquitin activation and RNA exosome function. His work has elucidated key intermediates in E1 enzyme catalysis and the architecture of RNA surveillance complexes. These insights are fundamental to understanding cellular quality control and have implications for cancer and neurodegenerative diseases. His recent publications, including high-impact studies in Nature and Cell , reflect a consistent focus on macromolecular structure-function relationships in ubiquitin signaling and RNA metabolism. Trends in his publications show a deepening exploration of enzyme dynamics, conformational changes, and the development of chemical tools to probe these pathways. National Academy of Sciences (2020) American Academy of Arts and Sciences (2017) Howard Hughes Medical Institute Investigator (2013) Rita Allen Scholar (2003–2006) Beckman Young Investigator (1999–2002) Dr. Lima has advised numerous PhD students and postdoctoral fellows and has received continuous funding from the NIH and HHMI. His lab is actively involved in training and mentoring within the Tri-Institutional programs. He leads a multidisciplinary research team focused on structural mechanisms in cellular regulation and is engaged in collaborative and translational research, with disclosed interests in biotechnology companies such as Biogen and Vertex Pharmaceuticals. He is a member of the Structural Biology Program at SKI and leads a vibrant research laboratory that bridges basic science and disease mechanisms. His lab fosters innovation in structural biology and continues to make foundational contributions to the understanding of protein and RNA quality control pathways.

• Cancer
• Liver Pathology
• Tumor Suppression
• +6 more

Professor Alain de Bruin (born 1968) is a distinguished academic at Utrecht University, serving as Professor in the Department of Biomolecular Health Sciences within the Faculty of Veterinary Medicine. Since January 1, 2020, he has been Head of the Department of Biomolecular Health Sciences. His academic journey began with veterinary medicine studies at the University of Hannover in Germany, followed by a PhD from the University of Bern in Switzerland in 1999. After specializing in veterinary pathology and completing a postdoctoral position at Ohio State University, he was appointed professor of pathobiology at Utrecht University in 2005. In 2010, he founded the Netherlands Molecular Pathology Center (UU/UMCG) and became an honorary professor of molecular pathology at the University of Groningen in 2014. Professor de Bruin's research primarily focuses on cancer biology, liver pathology, tumor suppression mechanisms, and aging processes. His expertise includes in vivo modeling, cell cycle analysis, generating transgenic mouse models, pathological analysis of animal disease models, and single-cell transcriptomics. His work centers on proteins that regulate cell proliferation, particularly E2F transcription factors, which he has discovered play critical roles in inhibiting cancer cell growth. His research themes span Life Sciences, Regenerative Medicine, and the Utrecht Platform for Organoid Technology. Analysis of his recent publications reveals a consistent research trajectory centered on cell cycle regulation, particularly the atypical E2F transcription factors (E2F7 and E2F8), and their roles in cancer development, polyploidization, and liver disease. His work demonstrates how these factors influence tumor suppression, angiogenesis, and cellular responses to DNA damage. The publications span multiple disciplines including cancer biology, molecular oncology, hepatology, and regenerative medicine, with applications in both human and veterinary medicine. Professor de Bruin has held significant leadership positions, including chairing the research council (2017-2019) and coordinating the 'Regenerative Medicine, Stem Cells, and Cancer' research program (2013-2019). He serves on the editorial board of 'Frontiers in Cell and Developmental Biology' and participates in review committees for NWO-Rubicon/Veni, the research alliance UTwente/UU/UMCU, and the Comprehensive Cancer Center at Ohio State University. His laboratory work has made significant contributions to understanding how E2F transcription factors regulate cell proliferation, with implications for developing novel cancer therapy strategies. His research on polyploidization mechanisms has provided insights into liver regeneration and tumor development, while his work on senescence has implications for aging-related diseases.

Joel ZindelView profile

Professor

• Tissue Repair
• Macrophage Biology
• Mesothelial Cell Biology
• +3 more

Prof. Dr. Joel Zindel is a faculty member at ETH Zurich's Institute of Molecular Health Sciences, leading a translational research group focused on tissue repair and scarring. He previously established his lab at the University of Bern (2023) before migrating to ETH Zürich in August 2025. His work bridges clinical surgery and immunology, targeting post-surgical complications like adhesions and fibrosis. Education: Medical Degree & MD, University of Bern PhD in Immunology, University of Bern SNSF-sponsored Research Fellowship, Canada Research Focus: The Zindel Lab investigates three key areas: (i) peritoneal macrophage biology in injury detection, (ii) mesothelial-to-mesenchymal transition in scarring, and (iii) foreign body responses in body cavities. Using intravital microscopy and clinical cohort studies, the lab explores immune-mesothelial interactions and druggable pathways. Publication Trends: Recent work emphasizes macrophage roles in regeneration, EGFR signaling in fibrosis, and technological innovations in surgical skill assessment. Key methodologies include spatial transcriptomics and multiphoton imaging. Scientific Awards: Max Cloëtta Research Fellowship SNSF Starting Grant Advising & Collaborations: Leads a team including PhD students (John Li Flores Alvarez, Agnes Huber, Brooke Slade) and postdoc Tea Kocijan. Collaborates with (bio)material engineers like Prof. Inge Herrmann and Prof. Mark Tibbitt.

Kate WhiteView profile

Assistant Professor

• Chemical Biology
• Structural Biology
• Cellular Imaging
• +4 more

Kate White serves as an Assistant Professor in the Department of Chemistry at the University of Southern California's Dornsife College of Letters, Arts and Sciences, with cross-appointment in Quantitative and Computational Biology. Affiliated with the Bridge Institute, she pioneers experimental and computational tools to bridge structural biology and physiology through multi-scale approaches spanning atomic to cellular resolutions. Education: Ph.D. in Pharmacology, University of North Carolina – Chapel Hill (2014) Research Focus: Her laboratory investigates insulin hormone processing and maturation mechanisms in pancreatic β-cells, employing chemical biology, multi-modal imaging, biophysics, and computational modeling to study peptide hormone secretion. Defects in these processes underlie mental disorders (depression, bipolar) and metabolic diseases (diabetes). Current work defines signaling pathways for hormone maturation, examines inter-organelle communication, characterizes cellular subtypes, and develops community-based modeling tools. Publication Trends: Recent work (2022-2024) demonstrates heavy reliance on soft X-ray tomography and cryo-electron tomography for cellular mapping, combined with dielectrophoresis separation techniques and computational modeling. Key themes include insulin vesicle maturation, beta cell structural heterogeneity during pregnancy, and organelle interaction quantification. Laboratory Structure: The Kate White Lab operates through four integrated research thrusts: (1) signaling pathway characterization for peptide maturation, (2) inter-organelle communication biochemistry, (3) cellular/organelle subtype analysis in secretory cells, and (4) development of next-generation cellular modeling infrastructure for scientific communities.