Find Academic Supervisors

Jeremy LubanView profile

Professor

• Virology
• Molecular Biology
• Infectious Diseases
• +4 more

Jeremy Luban is the David J. Freelander Chair in AIDS Research at the University of Massachusetts Medical School, with joint appointments at the Broad Institute of MIT and Harvard, Ragon Institute of MGH, MIT and Harvard, and Massachusetts Consortium on Pathogen Readiness. He holds an M.D. from Columbia University College of Physicians and Surgeons and a B.A. in Biology and Music from SUNY Purchase. His research focuses on virology, molecular mechanisms of infectious diseases (particularly HIV/AIDS and emerging viruses), host-pathogen interactions, and genomic approaches to disease mechanisms. Work spans viral pathogenesis, retrovirology, and host defense systems, with emphasis on structural biology of viral components and therapeutic interventions. Recent publications demonstrate extensive work in viral evolution, host immune responses to pathogens like HIV, Ebola, and SARS-CoV-2, and innovative gene-editing technologies. Research consistently integrates molecular virology with computational and structural approaches to address fundamental questions in infectious disease biology. Awards/Honors: David J. Freelander Chair in AIDS Research

Jesper PallesenView profile

Assistant Professor

• Structural Biology
• Virology
• Immunobiology
• +5 more

Jesper Pallesen, MBA, Ph.D., serves as Assistant Professor in the Vaccine & Immunotherapy Center at The Wistar Institute, an international biomedical research leader in cancer, immunology, and infectious disease. Dr. Pallesen received his Ph.D. from Aarhus University followed by postdoctoral training at Columbia University and The Scripps Research Institute, where he specialized in cryo-electron microscopy of bio-molecular protein complexes relating to infectious disease and immunobiology. He also holds an MBA from Rady School of Management at UC San Diego with specialization in statistics, finance and management, along with extensive experience as a technical consultant in IP law. His research integrates structural biology with vaccine development, focusing on atomic-level analysis of viral proteins to develop novel vaccine-design technologies. Pallesen's laboratory employs cryo-electron microscopy and computational modeling to study highly mutable pathogens including HIV, Ebola, and coronaviruses, with particular emphasis on understanding immune system function, response-triggering signals, and pathogen-clearing processes. His work bridges fundamental structural insights with practical immunotherapeutic applications for both infectious diseases and cancer. Dr. Pallesen has established significant collaborations with David B. Weiner, Ph.D., Wistar executive vice president and director of the Vaccine & Immunotherapy Center, including work on a DARPA and JPEO-CBRND grant focused on DNA-based countermeasures for SARS-CoV-2 and ongoing AIDS vaccine research. His publication record demonstrates expertise in structural analysis of viral envelope proteins critical for vaccine design.

• Structural Biology
• Pharmacology
• X-ray Crystallography
• +5 more

Karla Andrea Frydenvang is an Associate Professor in the Department of Drug Design and Pharmacology at the Faculty of Health and Medical Sciences, University of Copenhagen. With a career spanning over three decades since earning her PhD in 1989, she has established herself as a leading researcher in structural pharmacology and neuropharmacology. Current Position: Associate Professor (2002-present) Previous Appointments: Assistant Professor (1989-1990), Research Fellowships (1990-2002) Education: Cand. pharm. (1985), PhD pharm. (1989) from Royal Danish School of Pharmacy Dr. Frydenvang's research focuses on membrane-bound ionotropic glutamate receptors, particularly examining the extracellular ligand-binding domain expressed from E. coli. Her work analyzes protein complexes with various ligands to understand binding affinity, selectivity, and specificity through X-ray crystallographic studies. This structural approach has yielded significant insights into receptor function and modulation. Her recent publications (2022-2024) demonstrate a strong focus on glutamate receptor pharmacology, particularly AMPA and kainate receptors, with several papers examining positive allosteric modulators. Additional research areas include AKR1C3 inhibitors for prostate cancer and serotonin receptor agonists, showing the breadth of her structural pharmacology expertise. The publications reveal a consistent pattern of structural biology approaches applied to neuropharmacology and cancer drug development. Alfred Benzon Research Fellowship (1994-1997) Bøje Benzon Research Fellowship (1999-2002) Member of the Danish National Committee for Crystallographers since 1999 As an educator, Dr. Frydenvang participates in teaching pharmacy students through lectures, seminars, and practical courses in organic chemistry and philosophy of science. She has contributed to developing specialized courses including 'Structural and Computational Medicinal Chemistry' and 'Medicines: Design, Development, Delivery and Use.' Her mentorship extends to advising master's students and serving as advisor and external examiner for PhD candidates. Her leadership roles include chairing the department's teaching committee from 2009-2012.

Emmanouil AthanasiadisView profile

Research Fellow

• Bioinformatics
• Computational Biology
• Single Cell Genomics
• +3 more

Dr. Emmanouil Athanasiadis is a bioinformatician at the University of Cambridge's Department of Haematology, with dual affiliations at the Wellcome Trust Sanger Institute and Medical Research Council (MRC) Stem Cell Institute. His research integrates computational biology with medical applications, focusing on single-cell genomics, cancer biology, and cardiovascular disease mechanisms since 2016. His educational foundation includes: BSc in Biomedical Engineering from Technological Educational Institution of Athens (2004) MSc in Medical Physics from University of Patras (2006), funded by State Scholarships Foundation of Greece PhD in Medical Physics from University of Patras (2010), supported by National State Scholarship Foundation Athanasiadis specializes in developing computational frameworks for biological data interpretation. His work spans single-cell RNA sequencing analysis in haematopoiesis, medical imaging algorithms for cancer diagnostics, and drug repurposing pipelines. Key contributions include SPNsim for pulmonary nodule simulation and ChemBioServer for chemical compound analysis, demonstrating his dual expertise in algorithm development and biomedical application. Publication analysis reveals a trajectory from medical imaging (2007-2012) to genomic network analysis (2013-2016), culminating in current single-cell and spatial transcriptomics research. His work consistently bridges computational innovation with clinical questions in oncology, haematology, and cardiovascular disease, with strong emphasis on open-source tool development. His scientific recognition includes: Computational award from Greek Research and Technology Network for 'GRAND' project Multiple presentation prizes at national medical conferences Continuous academic distinctions from State Scholarships Foundation of Greece K. Karatheodoris research scholarship He has secured EU funding through FP7 projects including 'PIK3CA Oncogenic Mutations' and 'NOISEPLUS', and maintains active collaborations across Cambridge, UCL, and Greek research institutions. His teaching contributions include lecturing in biomedical engineering programs at Technological Educational Institution of Athens (2010-2016). Current work centers on single-cell RNA sequencing analysis within Cambridge's haematology research ecosystem, particularly investigating transcriptional dynamics in blood cell development and cancer evolution through collaborative projects with Sanger Institute.

Hiroaki TakahashiView profile

Assistant Professor

• Nuclear Medicine
• Abdominal Imaging
• Prostate Imaging
• +5 more

Hiroaki Takahashi, M.D., Ph.D. is a Nuclear Medicine Specialist Radiologist at Mayo Clinic in Rochester, Minnesota. He serves as a member of the Department of Radiology with active participation in multiple tumor boards including the Adrenal Tumor Board, GYN Tumor Board, and as GU Imaging Liaison for the GU eTumor Board. His professional memberships include the Society of Nuclear Medicine and Molecular Imaging, Society of Abdominal Radiology, Radiological Society of North America, and American Board of Radiology. Dr. Takahashi's research focuses on nuclear medicine, abdominal imaging, and prostate imaging with a strong emphasis on artificial intelligence applications. His work spans multiple clinical areas including endometriosis detection, prostate cancer diagnosis, and upper urinary tract imaging. Recent publications demonstrate his innovative approach to developing MRI scoring systems, improving diagnostic accuracy through deep learning models, and analyzing anatomical structures for better clinical outcomes. Analysis of his recent publications (2024-2025) reveals a strong trend toward integrating artificial intelligence with traditional imaging techniques. His research shows particular emphasis on improving diagnostic accuracy in prostate imaging, developing standardized scoring systems for endometriosis, and applying anatomical knowledge to enhance imaging interpretation. The breadth of his work across multiple clinical specialties demonstrates his versatility as a radiologist and researcher. Certificate of Merit Radiological Society of North America (2024) Cum Laude RSNA (2023) RSNA Diagnosis Please Certificate of Recognition award (2023) Cum Laude RSNA (2022) Certificate of Merit RSNA (2022) Magna Cum Laude RSNA (2021) Itai Award Japan Radiological Society (2020) Certificate of Merit RSNA (2019) Dr. Takahashi maintains an active research program with numerous recent publications, suggesting strong grant support and institutional backing at Mayo Clinic. His collaborations span multiple departments including urology, gynecology, and oncology, indicating a well-integrated research program with clinical applications. His work on AI-assisted diagnostic models represents a growing area of funding interest in medical imaging. While no specific laboratory is mentioned, Dr. Takahashi's research involves collaboration with multiple imaging teams at Mayo Clinic, particularly in abdominal imaging, nuclear medicine, and AI applications. His work with deep learning models for endometriosis detection and prostate cancer diagnosis suggests involvement with computational imaging teams and access to advanced imaging technology at Mayo Clinic.

• Electrochemistry
• Organic Chemistry
• Biochemistry
• +3 more

Dr Jon Wilden serves as Associate Professor in Chemistry within the School of Life Sciences at the University of Sussex, where he leads research at the intersection of organic electrochemistry, bioimaging, and sustainable synthesis. His work bridges fundamental mechanistic studies with practical applications in pharmaceutical analysis and green chemistry. His research portfolio emphasizes: Electrochemical Methodology Development : Creating sustainable alternatives to traditional synthesis through electrochemical radical reactions, amide preparation, and copper acetylide formation Bioimaging Probe Design : Engineering BODIPY fluorophores with tailored spectroscopic properties for cellular imaging applications Mechanistic Elucidation : Using electrochemical and spectroscopic techniques to unravel reaction pathways in peptide modification and enzymatic processes Educational Innovation : Developing open-access computational resources for drug design education With over 60 publications since 2015, Professor Wilden's recent work (2020-2024) demonstrates increasing industrial relevance through therapeutic product analysis, patentable electrochemical methods, and educational resources adopted internationally. His publications consistently appear in high-impact chemistry journals with strong citation metrics, reflecting significant contributions to green chemistry and chemical education. He actively mentors graduate students through research projects in electrochemical synthesis and bioimaging, while securing research funding evidenced by consistent publication output. Though no dedicated laboratory name is specified, his research group operates within the Department of Chemistry's facilities, collaborating across disciplines to advance sustainable chemical methodologies.

Graziano VernizziView profile

Professor

• Computational Physics
• Theoretical Physics
• Random Matrix Theory
• +4 more

Graziano Vernizzi serves as Professor in the Department of Physics and Astronomy at Siena University (formerly Siena College) since 2016, having previously held Associate Professor (2013-2016) and Assistant Professor (2010-2013) positions at the same institution. His academic journey includes a Research Professor role at Northwestern University (2006-2010) and prestigious postdoctoral appointments at the Niels Bohr Institute, University of Oxford, CEA/Saclay, Spinoza Institute, and Northwestern University. His educational background includes: B.S. in Physics, University of Parma, Italy (1995) Ph.D. in Physics, University of Parma, Italy (2000) Vernizzi's research integrates computational and theoretical physics to address nanoscale phenomena, with core interests in Random Matrix Theory, biophysics (RNA/ssDNA structures and membrane theory), soft condensed matter physics, and nanoscale science. He develops computational models to analyze complex systems where theoretical frameworks are essential for interpreting experimental data, driving technological innovation and expanding career opportunities in emerging scientific fields. His methodology frequently bridges mathematical rigor with physical applications across disciplinary boundaries. Analysis of his publication trends reveals consistent interdisciplinary work connecting mathematics, physics, and engineering. Key recurring themes include topological constraints in biological and electronic systems, statistical mechanics approaches to soft matter, and algorithmic innovations for verification problems. His research demonstrates particular strength in applying abstract mathematical concepts like random matrix theory to concrete biophysical and engineering challenges, resulting in publications spanning Physical Review journals, Soft Matter, and specialized engineering conferences. His scientific recognition includes: Trust-Co Excellence Honor for advancing the mission of Siena College (Trustco Bank, 2015) No information regarding student advising, research grants, or dedicated laboratory facilities was provided in the source material. His professional activities focus on computational research, course development in nanoscale physics, and interdisciplinary collaboration without mention of specific research teams or experimental facilities.

Christine BarrotView profile

Professor

• Microfluidics
• Gas Microflows
• Molecular Tagging Velocimetry
• +5 more

Christine Barrot is a Professor at the University Institute of Technology in Mechanical and Production Engineering of Toulouse (IUT GMP), part of the University of Toulouse, and a member of the Modeling of Mechanical Systems and Microsystems group (MS2M) at Espace Clément Ader. She serves as Director of the IUT of Toulouse Auch Castres, demonstrating significant leadership in academic administration. Her research focuses on microfluidics and experimental fluid dynamics, with particular expertise in molecular tagging velocimetry and thermometry techniques for studying liquid and gas flows in microchannels and microsystems. Dr. Barrot's work spans multiple applications including medical devices (micro-pumps for drug delivery), aerospace engineering, and environmental monitoring systems. Her recent publications (2019-2024) demonstrate a consistent research trajectory focused on molecular tagging techniques for measuring diffusion coefficients, temperature-dependent photoluminescence of vapors, thermally driven micropumps, and advanced optical thermometry methods for microscale gas flows. These works reveal her specialization in experimental characterization of mini- and micro-systems with applications across multiple engineering disciplines. Dr. Barrot has led and participated in numerous significant research projects including PUCK (2023-2027), PERSEUS (2020-2022), MACAO (2016-2020), MIGRATE (2015-2019), and GASMEMS (2008-2012), with funding from European programs including H2020 Clean Sky projects and Franco-German ANR-DFG collaborations. Her teaching portfolio includes Computer-aided manufacturing (CAM), Numerical Control/Machining, Non-destructive testing, Aeronautical Sciences, and Active Pedagogies such as Problem/Project Based Learning. She has made substantial contributions to pedagogical approaches in engineering education, particularly in peer learning frameworks.

• Insomnia
• Depression
• Inflammation
• +4 more

Joshua Hyong-Jin Cho, MD, PhD, MSc, FAPA, is a Health Sciences Clinical Professor at the Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Founding Director of the UCLA Insomnia Clinic. He is a board-certified psychiatrist with dual expertise in medicine and epidemiology. Dr. Cho's research focuses on the role of inflammation in depression, fatigue, and sleep disturbance—collectively termed 'sickness behavior.' His work spans psychoneuroimmunology, sleep medicine, and epidemiology, with particular emphasis on how sleep disturbances activate inflammatory pathways and contribute to mood disorders. His clinical activities center on treating insomnia and depression, utilizing both pharmacological and cognitive behavioral approaches. Analysis of Dr. Cho's recent publications reveals a strong focus on the intersection of sleep disorders, inflammation, and aging. His work increasingly incorporates translational approaches, connecting molecular mechanisms with clinical outcomes in older adults. He has made significant contributions to understanding how sleep maintenance issues—not just sleep duration—activate inflammatory pathways, with important sex differences in these relationships. NIH R21 Exploratory/Developmental Research Grant Award NIH K23 Career Development Award UCLA CTSI KL2 Translational Science Award NARSAD Young Investigator Grant UCLA MSTAR Best Research Mentor Award American Psychiatric Association Award Dr. Cho has served as Principal Investigator on multiple NIH-funded studies examining sleep loss as a vulnerability factor for inflammation-induced depressive symptoms, particularly in older women. His mentorship has been recognized with the UCLA MSTAR Best Research Mentor Award. At the UCLA Insomnia Clinic, which he founded, Dr. Cho leads a team focused on evidence-based treatments for sleep disorders, particularly cognitive behavioral therapy for insomnia (CBT-I) and its adjunctive treatments.

Raed KhashanView profile

Associate Professor

• Computational Medicinal Chemistry
• In-Silico Drug Design and Discovery
• Artificial Intelligence
• +6 more

Dr. Raed Khashan is an Associate Professor in the Pharmaceutical Sciences Division at Long Island University. He holds a Ph.D. in Pharmaceutical Sciences from the University of North Carolina at Chapel Hill, an M.S. in Pharmaceutical Sciences from The University of Texas at Austin, and a B.S. in Pharmacy from Jordan University of Science and Technology. As a licensed pharmacist with over ten years of community pharmacy experience, he bridges theoretical concepts with real-world applications in his teaching. His interdisciplinary research spans three core areas: Computer-Aided Drug Design using machine learning and molecular modeling Molecular Dynamics Simulation for mechanistic studies of biological processes Development of computational algorithms for cheminformatics and bioinformatics challenges This work integrates chemistry, biology, physics, and computer science to advance therapeutic discovery. Dr. Khashan's publications demonstrate consistent focus on computational method development, with recent work emphasizing AI-driven drug discovery (e.g., BMX inhibitors for cancer) and CRISPR/Cas molecular mechanisms. His articles frequently appear in journals like Molecular Informatics , Journal of Cheminformatics , and Proteins: Structure, Function, and Bioinformatics . He has received significant recognition including: AACP Teacher of the Year Award CCG Excellence Award for computational method innovation Multiple teaching nominations (Lindback, Bright Idea) Research awards from USciences and King Faisal University He actively mentors students in computational projects, with current advisees including Faranak Dinehkaboudi, Nadimbhai Vahora, and Amnah Alalmaie. As director of the Khashan Laboratory for Molecular Modeling & Simulation, he leads initiatives in CADD and algorithm development.

Supriya MunshawView profile

Associate Professor

• Entrepreneurship
• Technology Commercialization
• Biomedical Innovation
• +3 more

Supriya Munshaw serves as Associate Professor of Practice and Associate Dean for Academic Programs at Johns Hopkins University's Carey Business School, where she directs the Flexible MBA program. Her expertise centers on commercializing life science and medical device innovations, bridging academic research with market applications through executive education and entrepreneurial initiatives. Her educational foundation includes a Ph.D. in Computational Biology and Bioinformatics from Duke University and a B.A. in Biology from Bard College. This scientific background uniquely informs her business scholarship. Munshaw's research examines technology transfer mechanisms, pharmaceutical pricing strategies, and entrepreneurial ecosystem development. She investigates how human capital and institutional support influence biomedical patenting, with recent work focusing on real-world applications like $2 million therapies and retail venture formation. Her scholarship connects computational biology rigor with business strategy frameworks. Publication trends reveal an evolution from virology research (2012-2016 HIV/hepatitis C studies) to contemporary business scholarship (2019-2021 case studies on drug pricing and values-driven startups), demonstrating strategic adaptation to innovation commercialization challenges. Her achievements include: Carey Teaching Innovation Grant (2020) Dean’s Award for Faculty Excellence (2018, 2019) Diversity Recognition Award (2019) Rustgi Family Fund for Entrepreneurship Award (2015) As an educator, she teaches core MBA courses while co-founding the Johns Hopkins Biomedical Entrepreneurs Bootcamp. Her TCP Venture Capital partnership and NIH SBIR panel service create direct pathways for students to engage with Baltimore's innovation ecosystem, securing practical experience in startup advising and investment evaluation. Though not leading a traditional research lab, she cultivates entrepreneurial capacity through executive programs and venture capital engagement, providing students with hands-on opportunities in biomedical commercialization from discovery through market entry.

• Computational Biology
• Tissue Organization
• 3D Image Analysis
• +4 more

Luis María Escudero Cuadrado is a Full Professor in the Department of Cell Biology at the University of Seville, where he leads research in computational biomedicine. His work bridges biology, mathematics, and computer science to understand tissue organization and develop diagnostic tools for neuromuscular diseases. He is affiliated with the Instituto de Biomedicina de Sevilla (IBiS) and heads Research Group CTS-594 Neuronal Maintenance Mechanisms. His research focuses on: Computational modeling of tissue organization and epithelial morphogenesis Development of 3D image analysis tools for biological applications Geometric principles in biological systems (notably the discovery of "scutoids") Neuromuscular disease diagnostics through computational methods Neurodegeneration and age-related changes in neural tissues Professor Escudero Cuadrado's recent publications demonstrate a strong focus on developing computational approaches to understand biological tissue organization. His most cited work describes "scutoids," a novel geometric shape that explains 3D packing in curved epithelia. His lab has developed several computational tools including CartoCell and EpiGraph for high-content image analysis of biological tissues. His research spans from fundamental biophysical principles to clinical applications in neurodegeneration and neuromuscular diseases. His scientific contributions include: Discovery of scutoids as a geometric solution for 3D epithelial packing Development of computational tools for biological image analysis Patent for neuromuscular disease diagnostic methods Multiple high-impact publications in journals like Nature Communications Professor Escudero Cuadrado actively mentors students and has directed doctoral theses on computational approaches to tissue organization. His laboratory maintains strong collaborations across disciplines and continues to push the boundaries of computational biomedicine through ongoing research projects and tool development. Professor Escudero Cuadrado leads the Computational Biomedicine Group (http://www.scutoids.es), which focuses on applying mathematical and computational approaches to biological problems. The lab combines expertise in cell biology, biophysics, computer science, and mathematics to develop innovative solutions for understanding tissue organization and disease mechanisms.

Ian S. HaworthView profile

Associate Professor

• Computational Chemistry
• Computer-aided Molecular Design
• DNA and RNA structure
• +4 more

Ian S. Haworth is an Associate Professor and Vice Chair of Pharmacology and Pharmaceutical Sciences at the USC School of Pharmacy, University of Southern California. He joined USC in 1992 after completing his PhD in Physical Organic Chemistry at the University of Liverpool and postdoctoral research at Oxford University. His laboratory develops computational algorithms to study molecular associations in nucleic acids, proteins, and drug-target interactions. Education: PhD, University of Liverpool, UK (1986-1989) Postdoc, Oxford University, UK (1989-1992) BS, Manchester Metropolitan University His research integrates computational chemistry, biology, and pharmaceutical sciences to understand molecular dynamics in biological systems. Key areas include nucleic acid structure prediction, aptamer design, transporter protein analysis, and MHC-peptide-TCR associations. This work emphasizes accurate modeling of biological interfaces for therapeutic development. Haworth's recent publications focus on computational drug design (e.g., prodrug optimization, COX-2 inhibitors), structural biology (protein-nucleic acid complexes), and educational innovation (AI in pharmacy curriculum). His work consistently bridges computational predictions with experimental validation across therapeutic areas. Research Grants: NIH/NIGMS R01GM059297: PEPT1 Structure-Function (2000-2006) NIH/NCI R29CA064299: Polyamine Antitumor Complexes (1994-2000) He leads a computational lab developing tools like ALLNOX for biomolecular analysis and has contributed to transforming pharmacy education through case-based curricula. His team collaborates extensively across disciplines to study protein-membrane interactions, drug pharmacokinetics, and structural immunology.

Naoto TanibataView profile

Assistant Professor

• Battery Materials
• Inorganic Materials Chemistry
• Solid State Ionics
• +3 more

Dr. Naoto Tanibata is an Assistant Professor at Nagoya Institute of Technology, affiliated with the Department of Life and Applied Chemistry in the Graduate School of Engineering. He also holds a concurrent position at Kyoto University's Catalyst & Battery Elemental Strategy Unit. His research focuses on developing advanced materials for next-generation energy storage systems, particularly solid-state batteries. Dr. Tanibata received his academic training at Osaka Prefecture University: PhD in Engineering (2014-2017) Master of Engineering in Material & Chemical Engineering (2012-2014) Bachelor of Engineering in Applied Chemistry (2008-2012) Dr. Tanibata's research centers on advanced battery materials , with particular expertise in all-solid-state batteries using chloride and other novel electrolytes. His work combines computational materials science with experimental electrochemistry to develop high-energy-density storage solutions. Recent projects have focused on: Design principles for high-voltage chloride-based electrodes using HSAB theory Amorphization strategies for enhancing anion redox reactions Machine learning approaches for battery material discovery and optimization Deformability properties of solid electrolytes to prevent lithium dendrite formation His publication record demonstrates a strong focus on overcoming key challenges in solid-state battery technology, particularly addressing issues of ionic conductivity, interfacial stability, and high-voltage operation. Recent work has increasingly incorporated advanced simulation techniques and machine learning to accelerate materials discovery. Dr. Tanibata has received numerous awards for his contributions to battery research: Battery Technology Committee Award (2024) for 'Redox-level tuning for high-potential chloride electrodes' Best Oral Presentation Award (2024) from the Ceramic Society of Japan ECS Japan Branch Young Researcher Special Award (2024) Multiple Young Research Innovator Encouragement Awards Dr. Tanibata leads multiple research projects funded by prestigious organizations including the Japan Society for the Promotion of Science (JSPS), Fujikura Foundation, and Naito Science and Technology Promotion Foundation. His current research focuses on: Redox-level design for high-energy-density chloride electrodes (JSPS Grant 24K17755, 2024-2029) Establishing design guidelines for high-deformability materials for all-solid-state batteries Verification of amorphization-based anion redox utilization for microgrid applications At Nagoya Institute of Technology, Dr. Tanibata leads research within the Department of Life and Applied Chemistry, focusing on the rational design of solid-state battery materials based on solid-state chemistry principles. His work bridges fundamental materials science with practical battery applications for electric vehicles and grid-scale storage.

• Phylogenetics
• Mathematical Modeling of Infectious Diseases
• Epidemiology
• +4 more

Mark Poulsen Khurana is a Medical Doctor and Epidemiologist currently working as a Research Fellow at the University of Copenhagen's Faculty of Health and Medical Sciences. He is affiliated with the Department of Public Health, specifically within the Section for Health Data Science and AI. His work bridges clinical medicine, epidemiology, and computational approaches to understanding infectious disease dynamics. Dr. Khurana holds an MD and an MSc in Epidemiology, with ongoing doctoral studies focused on phylogenetics and mathematical modeling of infectious diseases. His educational background combines clinical training with advanced quantitative skills in epidemiology. His research spans several interconnected domains with a strong emphasis on phylogenetics and the mathematical modeling of infectious diseases . He has made significant contributions to understanding SARS-CoV-2 transmission through genomic epidemiology, developing AI approaches for disease modeling, and examining broader questions about medical progress and innovation. His work in digital health explores how emerging technologies can transform medical education and healthcare delivery. Dr. Khurana's research demonstrates a unique integration of clinical insight, epidemiological methods, and computational approaches. An analysis of his recent publications reveals a strong trajectory connecting computational methods with practical public health applications. His work on AI for infectious disease modeling, phylogenetic tree representations, and large-scale genomic epidemiology of SARS-CoV-2 demonstrates technical sophistication combined with real-world relevance. He has also published thought-provoking analyses on research trajectories in medical science and the implementation of solutions for antimicrobial resistance. Dr. Khurana actively collaborates with researchers across multiple institutions and countries, as evidenced by his extensive co-authorship network. His work has been recognized through citations and engagement on academic platforms, with several publications gaining attention in policy discussions and academic discourse. His leadership in the analysis of Denmark's extensive SARS-CoV-2 genomic dataset (covering approximately 290,000 genomes) demonstrates his capacity to manage and interpret large-scale public health data. This work has contributed significantly to understanding viral evolution and transmission patterns during the pandemic.