Find Academic Supervisors

Eugenio MarinelliView profile

Research Fellow

• DNA Data Storage
• Parallel Computing
• Database Systems
• +2 more

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
• +3 more

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.

Reza ZadeganView profile

Assistant Professor

• Synthetic Biology
• Semiconductor Technology
• Nucleic Acid Memory
• +3 more

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.

Chloé BERTONView profile

Researcher

• Data Security
• DNA Data Storage
• Blockchain Technology
• +3 more

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 NiederwieserView profile

Researcher

• Bioastronautics
• Space Life Sciences
• Bioregenerative Life Support Systems
• +5 more

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.

Mary WoottersView profile

Associate Professor

• Error-Correcting Codes
• Randomized Algorithms
• Information Theory
• +6 more

Mary Wootters is an Associate Professor of Computer Science and Electrical Engineering at Stanford University. She holds joint appointments in both departments and is a member of the Institute for Computational and Mathematical Engineering (ICME). Her research focuses on theoretical computer science, information theory, and applied mathematics, with an emphasis on error-correcting codes, randomized algorithms, and data processing techniques. She earned her Ph.D. in Mathematics from the University of Michigan (2014) and a B.A. in Math and Computer Science from Swarthmore College (2008), followed by an NSF postdoctoral fellowship at Carnegie Mellon University (2014–2016). Her research interests include error-correcting codes , randomized algorithms , and dimension reduction , with applications to data storage , nano-engineering , and high-dimensional signal processing . Notable contributions include advancements in LDPC codes , Reed-Solomon codes , and robust gray codes . She also explores quantum LDPC codes and nanopore-based DNA storage systems . Dr. Wootters has been recognized with prestigious awards, including the NSF CAREER Award , PECASE Award , Sloan Research Fellowship (2019) , and the IEEE Information Theory Society Goldsmith Lecturer (2024). Her work bridges theoretical foundations and practical applications, addressing challenges in coding theory and data reliability. Her advising spans multiple PhD students and postdoctoral scholars, including notable alumni like Reyna Hulett and Shashwat Silas. She teaches advanced courses such as Algebraic Error Correcting Codes and Randomized Algorithms , and actively contributes to interdisciplinary research through grants like the NSF-BSF on coding theory and pseudorandomness.

• Structural Biology
• Chemical Engineering
• Protein Biochemistry
• +7 more

Brent Nannenga is an Associate Professor of Chemical Engineering at Arizona State University (ASU), affiliated with the School for Engineering of Matter, Transport and Energy and the Biodesign Center for Applied Structural Discovery. He co-directs the NIH-funded MicroED Imaging Center at UCLA, focusing on advancing microcrystal electron diffraction (MicroED) methodology and applications. His research bridges chemical engineering, structural biology, and materials science, emphasizing high-resolution structure determination and biomolecule/material engineering. Education: Ph.D. in Chemical Engineering (University of Washington, 2011); M.S. and B.S.E. in Chemical Engineering (ASU, 2007 and 2005). Research interests include: MicroED development, protein-nanoparticle interactions, cyanobacterial bicarbonate transporters, and bio-inspired materials. His work has led to breakthroughs in structural biology, such as DNA crystal analysis and ferritin biomineralization studies. Articles trends reflect a focus on MicroED applications, crystallography innovations, and interdisciplinary collaborations. Recent work explores 2D covalent organic frameworks, gold complex reactivity, and semiconductor structures. Awards: NSF CAREER Award, AFOSR Young Investigator Award, 2020 Burton Medal, 2022 Margaret C. Etter Early Career Award Advising/Grants: Leads NIH-funded MicroED center; supervises research projects across chemical engineering and bioengineering. Courses taught include advanced lab techniques, transport phenomena, and thesis supervision. Labs/Teams: Biodesign Center for Applied Structural Discovery, MicroED Imaging Center (UCLA), and collaborations in materials science and biochemistry.

Lynn PatersonView profile

Associate Professor

• Biophotonics
• Optical Manipulation
• Microfluidics
• +5 more

Dr. Lynn Paterson is an Associate Professor at Heriot-Watt University, affiliated with the School of Engineering and Physical Sciences and the Institute of Biological Chemistry, Biophysics and Bioengineering. She joined the university in 2007 as an RCUK Academic Fellow. Her research focuses on biophotonics, including optical manipulation, microfluidics, and nanoparticle sensors, applied to biosensing, biodiscovery, and biomedical devices. She holds roles such as Deputy Director of EPS Postgraduate Research and coordinates Year Four Physics teaching and undergraduate projects. Paterson earned a BSc from Glasgow University and a PhD from St Andrews University. Her work integrates optics and photonics to isolate cells, design optical tweezers, and develop biomedical tools. Recent research includes studies on DNA damage from far-UV light, 3D microrheology, and energy storage applications of metal-organic frameworks. Her publications span topics like optical tweezers, microrheology, and nanotechnology, with a focus on biomedical and environmental applications. She actively participates in academic activities, including organizing conferences on optical trapping technologies and serving as an external examiner for PhD theses. Her lab, based in the David Brewster Building, develops innovative optical instruments for biological systems. Paterson’s contributions align with sustainable development goals through biomedical innovations and environmental studies. She engages in outreach, such as the 'Girls into STEM 2024' initiative, promoting science education.

Rachael Goodman-WilliamsView profile

Assistant Professor

• Community Psychology
• Gender-Based Violence
• Trauma-Informed Research Methods
• +4 more

Rachael Goodman-Williams is an Assistant Professor of Psychology at Wichita State University, directing the Community Responses to Sexual Assault (CRSA) Research Group. She specializes in ecological-community psychology with a focus on quantitative methods and evaluation sciences. Her research examines how communities respond to gender-based violence, particularly sexual assault, and emphasizes improving systems' responses through trauma-informed methodologies and policy development. She collaborates with rape crisis centers, law enforcement, and healthcare providers to address survivor experiences and institutional accountability. Education Ph.D. in Ecological-Community Psychology (2020), Michigan State University M.A. in Ecological-Community Psychology (2017), Michigan State University B.A. in Gender & Women’s Studies (2009), Knox College Her research interests include posttraumatic stress, mandatory reporting policies, forensic evidence collection practices, and organizational decision-making around violence prevention. She has published extensively on topics like sexual assault survivor decision-making, cold case investigations, and the impact of pandemic-related disruptions on advocacy services. Her work often integrates quantitative and qualitative methods to ensure rigorous, survivor-centered insights. Listen to her podcast discussion on Just Science about survivor experiences with forensic evidence and reporting decisions.

• DNA Data Storage
• Molecular Storage Systems
• Hardware Acceleration
• +3 more

APPUSWAMY Raja is an Assistant Professor in the Data Science department at EURECOM, a leading institution for research in digital security, communication systems, and data science. His work focuses on innovative storage solutions leveraging synthetic DNA and hardware acceleration. He actively participates in international conferences and workshops, presenting breakthroughs in molecular storage systems and cross-architecture computing. Research interests include DNA-based data storage systems, error correction mechanisms for molecular media, and hardware acceleration for databases and analytics. Notable projects include CMOSS (a motif-based columnar storage system) and SYCLOPS (optimizing extreme analytics across architectures). Awards include multiple best paper awards for contributions to DNA storage reliability and storage stack design. Education: Advanced degrees in Computer Science (specific details not provided in text) Awards: Best Student Paper (EUSIPCO 2019), Best Paper (CORESA 2018), and multiple LADC recognitions Grants/Projects: Active in EU-funded research initiatives on molecular storage and hardware acceleration Labs/Teams: Leads the Data Science team at EURECOM, collaborating with interdisciplinary groups on DNA storage and database systems

• Big Data
• Data Storage Technology
• Spatial Data Management
• +9 more

Thomas Heinis is a Professor in Computing at Imperial College London. He leads the SCALE Lab and conducts research in DNA data storage and high-performance data analytics. His academic journey includes a Ph.D. and M.Sc. in Computer Science from ETH Zürich, a Postdoctoral fellowship at EPFL’s DIAS Lab, and a Fulbright Scholarship at Purdue University. He specializes in scalable data management techniques for scientific and spatial datasets, novel hardware optimization, and interdisciplinary applications such as medical data analysis. Education: Ph.D. and M.Sc. in Computer Science, Swiss Federal Institute of Technology in Zürich (ETH Zürich) Postdoctoral Fellow, DIAS Lab, EPFL Fulbright Scholarship, Purdue University (2002–2004) Research Interests: Big Data and Distributed Processing Spatial Data Indexing and Visualization High-Performance Computing (HPC) Data Analytics Data Management on Novel Hardware (e.g., neuromorphic systems) Synthetic DNA Storage Technology Interdisciplinary Applications in Medicine and Neuroscience Recent Work Trends: Heinis’s publications emphasize innovative storage solutions like Motif-based DNA encoding, efficient spatial indexing algorithms (e.g., FLAT, SCOUT, TOUCH), and machine learning-driven approaches for healthcare and scientific data analysis. His work bridges computational methods with real-world applications in neuroscience, medicine, and environmental science. Scientific Awards: SystemsX Interdisciplinary Ph.D. Fellowship (2007) Finalist, Venture Leaders Entrepreneurship Competition (2007) Finalist, Purdue Burton D. Morgan Entrepreneurship Competition (2003) Fulbright Scholarship (2002–2004) Advising & Grants: Supervises Ph.D. students in scientific data management, spatial data, and DNA storage. Funding opportunities include Marie-Curie post-doctoral fellowships, CSC Imperial Scholarships, and others. His lab actively collaborates with institutions like the Blue Brain Project and explores scalable tools for data-driven research. Labs & Teams: Leader of the SCALE Lab at Imperial College. Collaborations with the Blue Brain Project (BBP) on neuroscientific data management.

Yi XinView profile

Assistant Professor

• Empirical Industrial Organization
• Econometrics
• Applied Microeconomics
• +3 more

Yi Xin is an Assistant Professor of Economics at the California Institute of Technology (Caltech), affiliated with the Division of Humanities and Social Sciences. She holds a B.A. and B.S. from Peking University (2012), an M.A. from Johns Hopkins University (2016), and a Ph.D. in Economics from Johns Hopkins (2018). Her research focuses on Empirical Industrial Organization and Structural Econometric Modeling, examining economic mechanisms and consumer behavior in markets with asymmetric information and emerging online platforms using micro-level data. She develops novel econometric techniques to identify and estimate structural parameters. Xin is a member of the Ronald and Maxine Linde Institute of Economic and Management Sciences. Featured research includes her work on peer-to-peer lending markets and structural econometric modeling. Her academic contributions intersect economics and applied quantitative methods, addressing real-world market complexities. Notable milestones include joining Caltech in 2018 as part of a cohort of new faculty spanning diverse disciplines from cosmochemistry to quantum theory. Her research trends reflect a focus on interdisciplinary applications of econometrics to modern market structures, leveraging both theoretical frameworks and empirical data analysis. While her articles list includes materials science contributions, her primary academic profile emphasizes economics. Further details about grants or advising roles are not explicitly documented in the provided materials.

• Electrochemistry
• Sensor Technology
• Nanointerfaces
• +5 more

Associate Professor Yang Liu is an academic in Analytical Chemistry at James Cook University (JCU), affiliated with the College of Science and Engineering and Department of Chemistry. She holds roles as a Fellow of the Royal Australian Chemical Institute (RACI) and Queensland Representative for the Electrochemistry Division of RACI. Her research focuses on electrochemical technologies for environmental, biological, and energy applications, particularly nanomaterial-based sensors and plasma electrochemistry for green synthesis. She leads projects on phosphate sensors for cattle samples, plasma electrocatalysis for water pollutants, and renewable energy systems. Dr. Liu has supervised numerous PhD and MSc students in areas like graphene synthesis and mineral exploration. She has received prestigious awards, including the Paul Haddad Medal and Rod Rickards Fellowship, and actively participates in academic committees and editorial boards. Her work bridges innovation in electrochemical methods with real-world applications in sustainability and environmental monitoring. Education/Experience: Research Fellow at Nanyang Technological University (2011–2013), progressing through lecturer roles at JCU to her current position since 2025. Research Interests: Electrochemistry, sensor technology, nanointerfaces, green synthesis, and environmental applications. Her lab develops low-cost sensors using nanostructured materials and explores plasma-based methods for clean water and energy storage. Grants & Awards: Theo Murphy Initiative Grant (2025), multiple fellowships, and grants supporting student mobility programs like the New Colombo Plan. Her research has led to over 70 publications and collaborations across academia and industry. Advising & Grants: Supervises 11 current PhD students and has mentored 8 completed doctoral researchers. Active in securing grants for mineral exploration, sensor development, and sustainability projects. Labs/Teams: Engaged in JCU’s Research Committee and Equity, Diversity, and Inclusion initiatives, as well as national and international electrochemistry symposiums.

Rayan ChikhiView profile

Researcher

• Bioinformatics
• Algorithmics
• Computational Biology
• +7 more

Rayan Chikhi is a Researcher and Structure Manager Responsible at the Institut Pasteur, affiliated with the UMR3569 – Virology unit and the Advanced Molecular Virology department. His work lies at the intersection of bioinformatics, algorithmics, and computational biology, with a strong focus on developing efficient data structures and analytical tools for genome and metagenome analysis. His research interests include: Bioinformatics and algorithm development for biological sequences Pangenomics and variation graph construction k-mer and minimizer-based data structures Genome and metagenome assembly Ancient DNA analysis and decontamination Microbial source tracking Rayan Chikhi’s recent publications demonstrate a consistent trend toward creating scalable, efficient, and open-source computational tools that address bottlenecks in genomic data analysis. His work on unitig matrices (MUSET), quotient filters, and pangenome graphs reflects a focus on reducing computational resource demands while preserving biological accuracy. These tools are widely applicable in metagenomics, ancient DNA studies, and large-scale genomic association studies. Scientific contributions and software developments include: MUSET: for constructing abundance-preserving unitig matrices Backpack Quotient Filter: a dynamic, space-efficient k-mer index decOM: for microbial source tracking in ancient samples aKmerBroom: for decontaminating ancient oral DNA Contributions to K-mer File Format standardization He actively mentors and collaborates with junior researchers, including PhD students Francesco Andreace and Timothé Rouzé, and postdoctoral fellows such as Camila Duitama González and Kristen Curry. He is involved in major institutional initiatives such as the INCEPTION Convergence Institute and the Artificial Intelligence at the Pasteur Institute cross-functional project, highlighting his role in interdisciplinary research. His work is supported by collaborative grants and contributes to advancing open science in computational genomics. Rayan Chikhi is a key member of the bioinformatics team at the Institut Pasteur, contributing to both methodological innovation and practical applications in virology and microbial genomics. His lab and team focus on building robust, open-source software tools that empower large-scale biological discovery.

• Analytical Chemistry
• Biosensors
• Atomic Absorption Spectrometry
• +3 more

Dr. Abundio Javier Aller Fernández is a dedicated researcher associated with the Universidad de Valladolid, with a career spanning over four decades (2000-2024). His work primarily focuses on analytical chemistry, particularly in biosensors, atomic absorption spectrometry, and environmental analysis. He earned his doctorate in 1981 with a thesis on the determination of phosphorus, strontium, and indium in aluminum-based alloys using atomic absorption and emission spectrophotometry. Research Areas: Analytical Chemistry, Biosensors, Atomic Absorption Spectrometry, Raman Spectrometry, Environmental Analysis, Nanoparticles His recent publications (2025-2018) demonstrate expertise in metallome analysis, pharmaceutical electrochemistry, historical material characterization, and quantum-chemical modeling for chromatography. Notably, his 2025 studies explore disease biomarkers and DNA-metal interactions. Earlier work (2022-2000) includes advancements in arsenic speciation, papyri classification, and heavy metal detection methods.