جستجوی استاد راهنمای دانشگاهی

Winston Timpمشاهده پروفایل

دانشیار

• Sequencing Technologies
• Epigenomics
• Genomics
• +۳ مورد دیگر

Winston Timp is an Associate Professor of Biomedical Engineering at the Johns Hopkins University Whiting School of Engineering, with joint appointments in the Department of Molecular Biology and Genetics, the Division of Infectious Diseases at the School of Medicine, and the Department of Genomic Medicine. His research focuses on developing sequencing technologies to explore biological systems and clinical diagnostics, integrating biophysics, molecular biology, and computational methods. Education: Timp earned bachelor’s degrees in Biochemistry, Chemistry, Physics, and Electrical Engineering from the University of Illinois at Urbana-Champaign (2001–2002), followed by a PhD in Electrical Engineering from MIT (2007). He completed postdoctoral training at Johns Hopkins, specializing in cancer epigenetics, before joining the faculty in 2013. Research Interests: Timp’s lab develops tools for epigenome and genome analysis, including nanopore sequencing applications for diagnosing infectious diseases, characterizing cancer epigenomes, and sequencing complex genomes like those of hummingbirds and giant sequoias. His work bridges engineering and biology, addressing challenges in clinical diagnostics and fundamental biology. Notable Contributions: He holds two patents, led grants totaling $5 million from the NIH, and contributed to the first complete human genome sequence. His team’s projects include the redwood genome, hummingbird transcriptome, and studies on CHO cell genomics. Awards: Timp received the Johns Hopkins Catalyst Award (2016) and Discovery Awards (2015–2017) for collaborative research. He sits on editorial boards for Epigenetics Insights and is an affiliate of bioRxiv. Lab Activities: The Timp Lab collaborates on projects like the Human Frontier Science Program grant on hummingbird metabolism and the NSF IUCRC on CHO cell epigenomics. Positions are available for postdocs, graduate students, and technicians.

Katherine Dunnمشاهده پروفایل

مدرس ارشد

• Nanobiotechnology
• DNA Nanotechnology
• Bioengineering
• +۲ مورد دیگر

Katherine Dunn is a Senior Lecturer and Director of Discipline for Mechanical Engineering at the University of Edinburgh's School of Engineering. Her research integrates nanotechnology, synthetic biology, and bioengineering to develop novel biomolecular systems for applications in photonics, electronics, and healthcare. Current projects include AI-powered gel electrophoresis analysis, DNA-based biomarker detection platforms, and energy storage in biological systems. Dr. Dunn's honors include being named among the Top 50 Women in Engineering: Engineering Heroes (2021). She leads multiple interdisciplinary research initiatives including the UNANO consortium to advance European bionanotechnology research.

• Medical Imaging
• Cybersecurity
• Federated Learning
• +۳ مورد دیگر

Gouenou COATRIEUX is a full Professor at IMT Atlantique Bretagne-Pays de la Loire, affiliated with the Department of Image and Information Processing (ITI) and the LaTIM Inserm U1101 laboratory . His research focuses on medical imaging security , cybersecurity in healthcare systems , and federated learning . Key interests include DNA-based data storage, privacy-preserving AI, and intrusion detection in cyber-physical systems. Research activities span medical image steganography , secure federated learning frameworks , and biomedical data anonymization . Notable projects address GDPR compliance in clinical data warehouses and watermarking techniques for AI model integrity. He has collaborated on digital twin technologies for anomaly detection in critical infrastructure. Recent work emphasizes non-IID federated learning defense mechanisms , CT imaging enhancement , and homomorphic encryption applications. Over 150 peer-reviewed publications demonstrate expertise in interdisciplinary topics like medical IoT security and deep learning for radiology. No scientific awards are listed, though his contributions to healthcare cybersecurity are widely recognized in academic circles. Advising and grant details are not explicitly stated in available materials. Primary affiliation is with IMT Atlantique's Brest campus.

Eric Haydenمشاهده پروفایل

استاد

• RNA Evolution
• Biomedical Engineering
• Biotechnology
• +۶ مورد دیگر

Eric Hayden, Ph.D., is a Professor and Chair of the Department of Biological Sciences at Boise State University’s College of Arts and Sciences. He joined the university in 2013 and leads the Hayden Lab, located in MCMR 222A. His research focuses on RNA design and laboratory evolution to develop biomedical and biotechnical applications, alongside exploring the origins of life through evolutionary processes. He collaborates with Dr. Matt Ferguson (Physics) to visualize RNA processing in living eukaryotic cells using single-molecule fluorescence microscopy. Education: Postdoctoral Scholar, Stanford University (2012–2013) Postdoctoral Scholar, University of Zurich, Switzerland (2009–2011) Ph.D. in Chemistry, Portland State University (2008) B.S. in Chemistry, Linfield College (2002) Research Interests: Dr. Hayden investigates RNA evolution, synthetic biology, and next-generation sequencing applications. His lab develops tools to study evolutionary mechanisms in nature and the lab, with a recent focus on real-time visualization of gene expression in eukaryotes. Projects include designing nucleic acid memory systems and optimizing DNA origami scaffolds for data storage. Teaching: Teaches graduate courses including Biomolecules I (BMOL 601), Molecular Genetics (BMOL/BIOL 613), and Biotechnology and Genetic Engineering (BMOL 570). Lab Activities: The Hayden Lab seeks interdisciplinary PhD students through the Biomolecular Science Program. Current studies include RNA mutation prediction via machine learning, ribozyme-based biosensors, and high-resolution imaging of RNA dynamics.

Tim Andersenمشاهده پروفایل

استاد

• Computer Science
• Bioinformatics
• Data Storage
• +۷ مورد دیگر

Tim Andersen is a Professor in the Computer Science Department at Boise State University. He holds a Ph.D. in Computer Science from Brigham Young University (1999) and previously worked as Chief Scientist at IArchives, developing OCR and image processing algorithms. His research focuses on interdisciplinary areas including nucleic acid-based data storage, blockchain applications in AI, machine learning optimization, and bio-inspired computational models. Education : Ph.D. in Computer Science, Brigham Young University, 1999 Research Interests : Dr. Andersen’s work spans molecular data storage (e.g., DNA-based memory systems), computational security protocols leveraging blockchain, optimization of neural network training, and bioinformatics applications such as probe design and protein docking. He pioneered methods for encoding digital information in nucleic acids and developed algorithms for enhancing AI model trustworthiness through decentralized verification. Publications Trends : Recent work emphasizes nucleic acid memory optimization (2023–2025), blockchain integration in AI security (2023–2024), and legacy contributions to OCR algorithms and evolutionary computation (1995–2000s). His research often bridges computer science with molecular biology, addressing both theoretical and applied challenges in emerging technologies. Awards & Grants : Not explicitly listed in available texts, but his sustained contributions across multiple disciplines suggest substantial external funding and recognition in interdisciplinary computing. Advising & Curriculum Development : Co-developed the “Computer Science Professionals’ Hatchery” program, integrating inclusion/diversity initiatives into Boise State’s curriculum. Focus on preparing high-school teachers in computer science through sustainable models like IDoCode. Labs & Collaborations : Associated with Boise State’s computational biology and AI security research groups. Collaborates across disciplines to advance nucleic acid storage and blockchain-audited systems.

Zahra Derakhshandehمشاهده پروفایل

دانشیار

• Distributed Computing
• Algorithm Design and Optimization
• Bio-inspired Algorithms
• +۵ مورد دیگر

Zahra Derakhshandeh is an Associate Professor in the Department of Computer Science at California State University East Bay. She holds a Ph.D. in Computer Science from Arizona State University (2017), where she worked under Professors Andrea W. Richa and Christian Scheideler. Her research focuses on distributed computing, algorithm design, bio-inspired algorithms, programmable matter, and self-organizing particle systems. Notably, her work on 'Smart Paint' for universal coating problems has received media attention from MIT Tech Review and ACM TechNews. Dr. Derakhshandeh has extensive teaching experience, including instructing courses like Foundations of Algorithms (CSE 551) at Arizona State University and serving as a faculty member at multiple institutions in Iran. Her industrial experience includes roles as a software developer at eBay/PayPal and research positions in network security and data center projects. Her research trends span theoretical computing (programmable matter, self-organization) and educational technology (online learning dynamics, active learning strategies). Recent publications explore federated learning, student engagement in online environments, and interaction design in digital education systems. Dr. Derakhshandeh’s work emphasizes cross-disciplinary applications, bridging computer science theory with real-world systems like financial eligibility services and telecommunication infrastructure.

Kenji Doeringمشاهده پروفایل

پژوهشگر

• Water-Energy Nexus
• Climate Change Impacts
• Hydropower Systems
• +۳ مورد دیگر

Kenji Doering is a Researcher and Postdoctoral Associate in Biological and Environmental Engineering at Cornell University, affiliated with the College of Agriculture and Life Sciences. He serves as a Research and Outreach Specialist at the New York State Water Resources Institute. His work focuses on the water-energy nexus, climate change impacts, hydropower systems optimization, and renewable energy integration. Doering holds a B.S. in Biophysics from the University of Washington before transitioning to Environmental Engineering for his M.S. and Ph.D. at Cornell. His research combines interdisciplinary approaches to address energy grid resilience, climate adaptation strategies, and multi-objective reservoir management. Notable projects include analyzing the Susquehanna River's reservoir control policies and advancing community science frameworks for river eel conservation. He has contributed to over 20 peer-reviewed articles since 2015, spanning topics from nanopore DNA sequencing innovations to spatiotemporal energy grid modeling under climate change scenarios. Doering’s work bridges engineering, environmental science, and policy, with a particular emphasis on data-driven solutions for sustainable resource management. His outreach efforts integrate public participation in ecological monitoring and education programs.

Eugenio Marinelliمشاهده پروفایل

پژوهشگر ارشد

• DNA Data Storage
• Parallel Computing
• Database Systems
• +۲ مورد دیگر

Eugenio Marinelli is a Research Fellow in the Data Science department at EURECOM, specializing in DNA-based data storage systems and high-performance computing. His office is located in room 409, and he can be contacted via phone (8260) or email. Research Focus: His work integrates computer science with molecular biology to develop next-generation storage solutions. Primary interests include: DNA data encoding and error correction for reliable long-term preservation Parallel algorithms for heterogeneous computing architectures (GPUs/XPUs) Columnar database designs optimized for molecular storage Migration-free archival strategies for cloud-scale data lakes His publications demonstrate consistent innovation in DNA storage architectures, with recent work emphasizing error resilience and cross-platform performance. No scientific awards or student advising roles are documented.

• DNA Storage
• Molecular Storage Systems
• Bioinformatics
• +۳ مورد دیگر

Michael Schwarz is a Research Fellow at Philipps-Universität Marburg's Department of Mathematics and Computer Science, affiliated with the Distributed Systems group led by Prof. Bernd Freisleben. He began his PhD in 2019, focusing on coding schemes for DNA and molecular storage systems. His work addresses challenges in DNA synthesis, storage stability, and error mitigation. Research interests span DNA storage architectures, molecular data encoding, and interdisciplinary applications of bioinformatics. He contributes to tools like MESA for simulating DNA synthesis errors and optimizing sequence design. Publications emphasize practical advancements in error correction, workflow automation (e.g., RepairNatrix), and novel coding strategies for DNA-based data storage. No scientific awards are explicitly listed, though his contributions align with emerging fields in biocomputing. Advising and grants details are not disclosed in available texts. He collaborates within Prof. Freisleben's lab, focusing on molecular storage systems and bio-inspired computing solutions.

Angela Mötschمشاهده پروفایل

پژوهشگر ارشد

• European Protohistory
• Archaeogenetics
• Celtic Archaeology
• +۳ مورد دیگر

Angela Mötsch is a Research Fellow in the Department of Archaeogenetics at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. Previously, she held a Postdoc position at the Max Planck Institute for the Science of Human History in Jena (2018–2021). Her work focuses on European Protohistory, particularly the Hallstatt and La Tène periods, with emphasis on intercultural contacts in prehistoric societies. She is involved in major projects such as the Max Planck-Harvard Research Center for the Archaeological and Scientific Study of the Ancient Mediterranean (MHAAM), the ERC-funded MICROSCOPE project, and the BMBF-funded BEFIM project examining Mediterranean ceramics in Early Iron Age Europe. PhD: University of Kiel (2010), studying the Mont Lassois 'Princely Residence' in Burgundy Research expertise includes ancient DNA analysis, pottery residue studies, and archaeological excavation leadership Her research investigates prehistoric social networks through material culture and genetic data, with notable contributions to understanding Celtic elites' dynastic succession, Etruscan origins, and malaria's ancient history. Key themes include cross-cultural interactions, funerary practices, and the role of Mediterranean imports in Central European societies. Recent publications address topics like prehistoric genetic disorders (trisomy 21/18), Iron Age child burials' kinship patterns, and Etruscan population dynamics through archaeogenomic approaches. She collaborates internationally on large-scale archaeological projects, integrating genomic, isotopic, and archaeological data to reconstruct ancient human mobility and cultural processes.

Reza Zadeganمشاهده پروفایل

استادیار

• Synthetic Biology
• Semiconductor Technology
• Nucleic Acid Memory
• +۳ مورد دیگر

Reza Zadegan, Ph.D., is an Assistant Professor in the Department of Nanoengineering at North Carolina A&T State University. His research focuses on nucleic acids-based materials for applications in personalized medicine, memory systems, and bioengineering. He bridges interdisciplinary fields, emphasizing collaboration across disciplines and socioeconomic boundaries in academia. Research Interests: Synthetic Biology: Leveraging gene expression mechanisms to design systems manipulating biological processes. Semiconductor Synthetic Biology (SemiSynBio): Pioneering global-scale research at the intersection of synthetic biology and semiconductor technology. Nucleic Acid Memory (NAM): Developing nucleic acid-based digital data storage as an alternative to silicon memory. Personalized Medicine: Creating DNA nanostructures for targeted drug delivery and theranostics. Advising & Grants: No specific grants or advising details provided in the text. His team's work emphasizes collaborative, interdisciplinary projects. Labs/Teams: Active in labs focused on nucleic acid materials, synthetic biology, and bioengineering applications.

Xiaorong Liuمشاهده پروفایل

استادیار

• Theoretical and Computational Chemistry
• Chemical Biology and Biochemistry
• Medicinal Chemistry
• +۲ مورد دیگر

Xiaorong Liu is an Assistant Professor in the Department of Chemistry at the University of New Mexico. Her research focuses on developing computational methods to study biomolecular functions and drug design. She holds a Ph.D. in Chemistry from the University of Massachusetts Amherst (2019), an M.A. in Chemistry and Biochemistry from the University of Delaware (2014), and prior degrees from Wuhan University (China). Education: Ph.D., Chemistry, University of Massachusetts Amherst (2019) M.A., Chemistry and Biochemistry, University of Delaware (2014) M.Sc., Chemical Biology, Wuhan University (2012) B.Sc., Applied Chemistry, Wuhan University (2010) Research Interests: Her work integrates theoretical and computational chemistry with chemical biology to design small-molecule drugs, biologics, and functional proteins. Ongoing projects include developing free energy methods, designing peptides targeting molecular chaperones, and engineering transcription factors for DNA recognition. Research Trends: Recent publications highlight advancements in computational methods (e.g., CHARMM software integration, enhanced sampling techniques) and applications in drug discovery, cancer therapy, and protein dynamics. Her work bridges atomistic simulations with coarse-grained models to study disordered proteins and their biological interactions. Advising & Grants: As a faculty member, she advises students in computational and experimental biophysics. Her research is supported by grants focused on computational drug design and biomolecular modeling. She leads a research group dedicated to advancing computational tools for biomedical challenges.

• Neurodegenerative Diseases
• Mitochondrial Dysfunction
• Retinal Degeneration
• +۴ مورد دیگر

Dr. Marzena Kurzawa-Akanbi is a Research Fellow at Newcastle University's Faculty of Medical Sciences, with appointments in the Institute of Genetic Medicine and Institute of Neuroscience. Her research focuses on neurodegenerative diseases, mitochondrial dysfunction, and retinal degeneration. She leads interdisciplinary projects investigating mechanisms underlying Parkinson’s disease, Alzheimer’s disease, and age-related macular degeneration (AMD), with particular emphasis on stem cell modeling and biomarker discovery. Institution: Newcastle University Departments: Institute of Genetic Medicine & Institute of Neuroscience Key Collaborators: Professors David Steel, Majlinda Lako, Patrick Chinnery Her work combines molecular genetics, cell biology, and clinical pathology to uncover disease mechanisms. Recent studies include: Developing iPSC models for retinal dystrophies (e.g., DRAM2-dependent CORD21) Investigating lysosomal dysfunction in AMD using retinal pigment epithelium extracellular vesicles Characterizing mitochondrial DNA changes in Parkinson's patients' cerebrospinal fluid She has pioneered methods to assess mitochondrial biomarkers in neurodegenerative disorders and contributed to understanding glucocerebrosidase mutations in Lewy body diseases. Her research bridges basic science and translational medicine, aiming to identify novel therapeutic targets.

Chloé BERTONمشاهده پروفایل

پژوهشگر

• Data Security
• DNA Data Storage
• Blockchain Technology
• +۳ مورد دیگر

Chloé BERTON is a Researcher affiliated with the Data Science Department at IMT Atlantique (Institut Mines-Télécom). Her research focuses on innovative data storage solutions, particularly leveraging DNA molecules and blockchain technologies. She explores interdisciplinary intersections between cybersecurity, bioinformatics, and federated learning systems. Her work emphasizes securing data storage through biological and computational methods, including encoding techniques compliant with molecular constraints and enhancing traceability in distributed learning environments. Recent publications highlight breakthroughs in DNA-based archival systems and cryptographic frameworks for federated learning. BERTON's research trends reveal a strong emphasis on molecular data security, with multiple contributions addressing both technical and biological challenges in DNA data storage. She also investigates blockchain applications to ensure end-to-end data integrity in collaborative machine learning setups. No scientific awards or advisory roles are explicitly mentioned in the provided materials. Her affiliation with IMT Atlantique's Data Science Department positions her within a dynamic research ecosystem focused on digital and environmental transitions.

Tobias Niederwieserمشاهده پروفایل

پژوهشگر

• Bioastronautics
• Space Life Sciences
• Bioregenerative Life Support Systems
• +۵ مورد دیگر

Tobias Niederwieser is an Assistant Research Professor at BioServe Space Technologies , affiliated with the University of Colorado Boulder's Aerospace Engineering Sciences department. His work bridges bioastronautics, space life sciences, and bioregenerative life support systems. Education : PhD (2018, CU Boulder), MS (2015, CU Boulder), BSc (2013, Technical University Munich) Research Focus : Developing biological life support systems, space radiation genomics, and microgravity experiment hardware like SABL and FRIDGE. Publications : 15 recent contributions on yeast radiation studies, algal photobioreactors, and deep space payload design. Awards : Finalist for the International Astronautical Federation's Luigi G. Napolitano Award (2021), 20 Under 35 Award (2021), and NASA Group Achievement Award (2019). Supervised Students : Mentored graduate researchers in microgravity equipment development and biological payload integration. Labs/Teams : Project lead at BioServe Space Technologies, member of the International Astronautical Federation, and contributor to Artemis I and ISS missions.