Find Academic Supervisors

• Biophysics
• Neurophysiology
• Sleep Research
• +3 more

Prof. Dr. Murat ÖZGÖREN is a Professor in the Department of Biophysics at Dokuz Eylül University. He holds significant roles in EU research infrastructure initiatives, including serving as the Turkish National Delegate to the EU Research Infrastructure Agency (ESFRI) and member of the ESFRI Forum. Previously, he served as Vice Rector for Research and Technology at Dokuz Eylül University (2012–2016), during which he established DEPARK-Health, Turkey’s first integrated Health Technopark. His expertise extends to entrepreneurship ecosystems, leading the International Health Technologies Accelerator (Bioİzmir) and contributing to national biomedical councils. Education: Graduated from Ege University Faculty of Medicine, completed residency in Family Medicine, and earned a PhD in Biophysics with NATO-funded research at the University of Miami. Research focuses on sleep neurophysiology, EEG analysis, and biomedical engineering applications. He actively advises on EU strategic roadmaps for health infrastructure and participates in G20/T20 initiatives. Research interests include sleep architecture, sensory processing during sleep, and Parkinson’s disease diagnostics via EEG. His work bridges clinical neurophysiology with technological innovation, such as developing molecularly imprinted nanoparticles for environmental analysis and designing biomedical sensor systems. Through DEPARK and Bioİzmir, he fosters health tech entrepreneurship, emphasizing sustainable healthcare solutions and translational research. Awards and grants are not explicitly listed, but his contributions to EU policy frameworks and health infrastructure development highlight his impactful career.

Jeppe KariView profile

Associate Professor

• Biophysical Chemistry
• Biocatalysis
• Enzyme Kinetics
• +3 more

Jeppe Kari is an Associate Professor in the Department of Science and Environment Chemistry at Roskilde University. His research focuses on biophysical chemistry, particularly biocatalysis and interfacial enzyme kinetics. He aims to bridge inorganic heterogeneous catalysis and biocatalysis to advance heterogeneous biocatalysis as a field. His work emphasizes understanding enzyme behavior at solid-liquid interfaces and optimizing enzyme systems for industrial applications. Key research areas include enzymatic hydrolysis of cellulose, Sabatier principle applications, and computational methods for predicting enzyme activity. Collaborations span international institutions, as indicated by his network of external research partners. His publications highlight advancements in enzyme kinetics modeling, substrate interactions, and enzyme engineering. Notable contributions include studies on cellulase efficiency limitations, ITC analysis of polydisperse systems, and virtual bioprospecting of interfacial enzymes. Kari’s lab integrates computational and experimental approaches to address challenges in biocatalytic processes. Education: Holds an MSc and PhD in relevant fields (specific institutions not detailed in text). No awards or grants explicitly listed. Advises on projects related to cellulase optimization and enzyme kinetics. Maintains a research website at www.jeppekari.com .

Premashis MannaView profile

Assistant Professor

• Protein Engineering
• Biochemistry
• Biophysics
• +5 more

Premashis Manna is an Assistant Professor in the Department of Chemistry and Biochemistry at The Ohio State University (OSU), leading the Manna Laboratory. He holds a B.Sc. and M.Sc. from Ramakrishna Mission Vidyamandira (Calcutta University) and Indian Institute of Technology Kanpur, followed by a Ph.D. in Chemistry from the University of Colorado Boulder. His postdoctoral research included studies at MIT and the Weizmann Institute of Science. His research focuses on dynamics-guided directed evolution of protein function, developing biosensors for single-molecule and super-resolution microscopy, optimizing far-red light-harvesting complexes, and engineering enzymes for plastic degradation. Key techniques include microfluidic-based selections and single-molecule spectroscopy. Cited works include breakthroughs in LHCII clustering mechanisms (Science Advances, 2023) and fluorescent protein optimization (Journal of Physical Chemistry B, 2022). The lab integrates biochemistry, biophysics, and machine learning to advance protein engineering and biocatalysis.

• Computational Protein Design
• Non-canonical Amino Acids
• Biochemistry
• +5 more

Jeremy Mills is an Associate Professor at Arizona State University (ASU), affiliated with the School of Molecular Sciences and the Biodesign Institute’s Center for Molecular Design and Biomimetics. His research focuses on computational protein design, leveraging non-canonical amino acids to engineer proteins with novel functions for biomedical and chemical applications. Mills holds a B.S. in Chemistry from Vanderbilt University (2001) and a Ph.D. in Chemistry from The Scripps Research Institute (2010), followed by postdoctoral training with David Baker at the University of Washington. Research Interests : Mills’ work spans three core areas: designing fluorescent biosensors for diagnostics, creating novel enzymes through computational methods, and developing protein-based nanomaterials with photochemical properties. His lab employs non-canonical amino acids to address limitations in conventional protein engineering and to study molecular-level processes. Teaching & Academic Contributions : Mills teaches courses in biochemistry, organic chemistry, and research techniques at ASU, including BCH/CHM 392 (Intro to Research Techniques), CHM 433 (Bioorganic Chemistry), and honors thesis supervision. His courses emphasize hands-on training in molecular design and biochemical analysis. Labs & Collaborations : He collaborates with the Biodesign Center for Applied Structural Discovery and the Center for Molecular Design and Biomimetics, advancing interdisciplinary research at the intersection of computation, chemistry, and biology.

Wade Van HornView profile

Assistant Professor

• Membrane Proteins
• TRP Channels
• Structural Biology
• +3 more

Wade Van Horn is an Assistant Professor in the School of Molecular Sciences at Arizona State University (ASU) , and an investigator at the Biodesign Institute's Center for Personalized Diagnostics and the Magnetic Resonance Research Center . He joined ASU in 2012 following an American Heart Association postdoctoral fellowship at Vanderbilt University School of Medicine. His research focuses on membrane proteins and their roles in human physiology and disease. Education : Ph.D. in Chemistry, University of Utah (2007) Research Interests : Van Horn’s work centers on three main themes: TRP channel gating and modulation, particularly TRPM8’s role in cold sensation and therapeutic potential in diseases like chronic pain and diabetes. Membrane protein structural enzymology, including vitamin K epoxide reductase (VKOR) and undecaprenol kinase (UDPK), targeting anticoagulants and antibiotics. Methods development for membrane protein structural biology, optimizing NMR techniques like reverse micelles. His interdisciplinary approach combines NMR spectroscopy, electrophysiology, enzymology, and computational biology to tackle biomedical challenges. Recent Research Trends : Recent articles focus on TRPM8 dynamics and ligand binding, structural insights into VKOR and cold sensing mechanisms, and advancements in NMR methodologies for membrane protein analysis. His work bridges structural biology with therapeutic applications, emphasizing drug discovery and personalized medicine. Grants & Awards : NIH Grant: PIRT Modulation of TRPM8 (2015–2020) NASA: Artificial TNA Polymer Research (2014–2017) DARPA: Synthetic Nucleic Acids (2014–2017) Advising : Van Horn mentors students such as: Julia (ACS Undergraduate Award) Nick Sisco (Graduate Excellence Fellow) Cole Helsell (AAAS Honorable Mention) Maryam (Summer Research Programs) Labs & Affiliations : His lab is part of the Biodesign Institute’s interdisciplinary environment, collaborating with institutions like Vanderbilt University and the University of South Florida. Research focuses on structural biology, biophysics, and translational medicine.

Cristian BonatoView profile

Professor

• Quantum Spintronics
• Quantum Sensing
• Semiconductor Quantum Devices
• +3 more

Professor Cristian Bonato leads the Spin-based Quantum Technology research theme at Heriot-Watt University's School of Engineering & Physical Sciences, where he also directs the Nanoscale Quantum Sensing facility. He holds a prestigious EPSRC Early-Career Fellowship (2019-2024) and develops quantum technologies using semiconductor spins for secure communication and nanoscale sensing applications. Education includes: MSc in Physics (2004) - University of Padova PhD in Electrical Engineering (2008) - University of Padova His research integrates quantum spintronics with photonics and machine learning across three themes: Quantum devices in silicon carbide for communication networks Nanoscale quantum sensors for magnetic resonance imaging Machine learning algorithms for quantum system characterization Recent publications focus on quantum spectroscopy, spin-photon interfaces, quantum system dynamics, and biomedical sensing techniques. Awards: EPSRC Early-Career Fellowship (2019-2024) He leads Heriot-Watt's Quantum Photonics Laboratory spin technology group and manages the university's Nanoscale Quantum Sensing infrastructure.

Alex PoultonView profile

Professor

• Marine Ecology
• Ocean Biogeochemistry
• Plankton Ecology
• +3 more

Alex Poulton is a Professor of Plankton Ecology and Biogeochemistry at Heriot Watt University's The Lyell Centre for Earth and Marine Sciences and Technology in Edinburgh. He holds a PhD in Biological Oceanography from the University of Southampton and previously worked at the National Oceanography Centre (NOC) as a Senior Researcher and Principal Researcher. His research focuses on marine ecology, ocean biogeochemistry, plankton diversity, and carbon cycling, with a particular emphasis on coccolithophores and their role in climate change. Current projects include studying carbon export via internal tides (CarTRidge), coccolithophore controls on ocean alkalinity (CHALKY), and the impacts of bottom trawling on seabed carbon storage. He has participated in 20 research cruises across major oceans and published over 115 peer-reviewed articles. Poulton is an editorial board member for the Journal of Plankton Research and contributes to NERC peer-review processes. His research interests encompass global plankton ecology, nutrient dynamics, and the interplay between biodiversity and biogeochemical processes. Recent work highlights include investigating Southern Ocean carbon flux dynamics, diatom vertical distribution patterns, and the ecological impacts of climate change on marine systems. Poulton also explores novel scientific paradigms, such as the adaptation of fossilized coccolithophores to environmental shifts ('swimming with dinosaurs').

• Molecular Modeling
• Thermodynamics
• Nanomaterials
• +5 more

Clare McCabe is a Bicentennial Professor at Heriot-Watt University and a Professor at Vanderbilt University's Department of Chemical & Biomolecular Engineering and Chemistry. She holds dual positions across institutions, reflecting her extensive academic leadership and research contributions. Her work focuses on molecular modeling tools to study thermodynamic properties of complex fluids, nanomaterials, and biological systems, with applications in skin health and sustainable materials development. Research interests include advanced simulations (molecular dynamics, Monte Carlo) and theoretical approaches to predict material behavior. Key contributions include the Molecular Simulation Design Framework (MoSDeF) for reproducible simulations and collaborative studies on skin lipid phase behavior. She has been recognized with prestigious fellowships from the American Association for the Advancement of Science, American Institute of Chemical Engineers, and Royal Society of Chemistry. McCabe’s articles span computational methodologies, membrane design, and biological systems, emphasizing interdisciplinary applications like sustainable solvents and skin barrier function. She actively contributes to editorial roles (e.g., Molecular Physics, Chemical Thermodynamics) and organizes workshops promoting FAIR data practices in soft matter simulations.

• Computational Fluid Dynamics
• Microfluidics
• Lattice Boltzmann Methods
• +2 more

Professor Emilie Sauret holds an ARC Future Fellowship at QUT's School of Mechanical, Medical & Process Engineering. With a PhD in Turbulence Modelling from Sorbonne University, she develops computational methods for complex fluid systems. Research focus areas: Physics-informed neural networks for microfluidics Electrohydrodynamic control of fluid interfaces Biomedical applications of computational fluid dynamics Publications showcase interdisciplinary approaches to fluid dynamics, with recent advances in predictive modelling of lung deposition and microfluidic device optimization. Her work bridges fundamental physics with energy and biomedical applications. Leadership roles include council membership in the Australasian Fluid Mechanics Society. She has secured $8M in research funding and collaborates with MIT, NASA JPL, and industry partners.

Sijia DongView profile

Assistant Professor

• Theoretical Chemistry
• Biophysics
• Materials Chemistry
• +5 more

Sijia Dong is an Assistant Professor in Chemistry and Chemical Biology at Northeastern University, affiliated with Chemical Engineering, Physics, and multiple research institutes including the Institute for Chemical Imaging of Living Systems and the Quantum Materials and Sensing Institute. Her research focuses on developing computational methods to study chemical systems, with applications in renewable energy and biomedicine. She holds a PhD from Caltech and a B.Sc. from the University of Hong Kong. Education: Ph.D. in Chemistry, Caltech (2017) B.Sc., First Class Honours, The University of Hong Kong (2010) Research Interests: Her lab develops physics-based and data-driven computational methods to study multiscale chemical processes. Key areas include quantum phenomena in biological systems, light-driven chemical transformations, and computational design of materials for energy and medicine. Techniques include electronic structure theory, machine learning, and quantum computing. Awards: NIH MIRA Award (2024) Excellence in Mentorship Award (2024) Scialog Fellowship (2024) DOE and NSF Funding (2023-2025) Lab and Teams: Her lab, the Dong Theoretical and Computational Chemistry Lab, includes PhD students, postdocs, and undergraduates. Collaborations involve institutions like MITRE and Iowa State University. Current projects include quantum algorithm development for electronic structure simulations and photoenzyme design.

• Virology
• Immunology
• Infectious Diseases
• +3 more

Penghua Wang is an Adjunct Assistant Professor in the Department of Infectious Diseases at Yale School of Medicine. He holds a PhD from the National University of Singapore (2006) and a BA from ZhongShan Medical University (1992). His research focuses on host-pathogen interactions, particularly RNA viruses, and explores mechanisms of viral pathogenesis and immune evasion. Key interests include innate immunity, antiviral immune responses, and viral life cycles. Education: PhD, National University of Singapore (2006) BA, ZhongShan Medical University (1992) His research investigates viral pathogens such as West Nile virus, Dengue virus, and Hepatitis C virus. Recent work includes identifying host factors influencing viral pathogenesis, such as NLRs and UBXNs, and elucidating mechanisms of immune evasion. Collaborations with researchers like Erol Fikrig and Ruth R. Montgomery have yielded studies on antiviral signaling, symbiotic bacteria’s role in flavivirus transmission, and SARS-CoV-2 evolution. Publications highlight advancements in understanding cGAS-STING signaling in kidney inflammation, integrin clustering, and mosquito-borne pathogen transmission dynamics. His lab is located at The Anlyan Center, 300 Cedar Street, Ste S410, New Haven, CT 06519.

• Machine Learning
• Computational Biology
• Drug Discovery
• +3 more

Yan Zhang is a Visiting Professor in the Department of Psychiatry at the Yale School of Medicine, Yale University. His research focuses on the intersection of machine learning and computational biology, particularly in drug discovery, protein structure prediction, and generative AI models. He has contributed to advancements in diffusion models, causal language modeling, and bioinformatics tools. Primary Appointment: Psychiatry Affiliation: Yale School of Medicine Research interests include applying AI to biomedical problems, developing novel algorithms for molecular modeling, and creating benchmark datasets for protein analysis. His work integrates mathematical theory with practical software development, as seen in frameworks like Torchdrug. Recent publications emphasize diffusion models for protein side-chain packing, causal language integration in generative systems, and multi-task learning for protein sequence understanding. These contributions highlight his dual focus on theoretical innovation and real-world biomedical applications. No scientific awards or grants are explicitly mentioned in the provided materials. However, his active research portfolio suggests ongoing collaborative projects in drug discovery and AI-driven medical technologies.

Maijia LiaoView profile

Assistant Professor

• Quantitative Neuroscience
• Cell Mechanics
• Cytoskeleton in Neurons
• +6 more

Maijia Liao is an Assistant Professor of Physics and affiliated faculty in Bioengineering at Northeastern University. She joined the Physics department in January 2024. Originally from Jiangsu, China, she holds a B.S. from Nanjing University and a Ph.D. in Physics from Hong Kong University of Science and Technology. Her postdoctoral work at Yale University focused on neuronal morphologies using interdisciplinary approaches. Research: Quantitative Neuroscience, Cell Mechanics, Cytoskeleton dynamics, and Biotransport mechanisms Model system: Drosophila for studying neuronal structures and disease links Techniques: Super-resolution microscopy, genetic manipulation, machine learning Her lab investigates how molecular processes govern neuronal structure/function. Recent work uncovered diameter scaling laws and topological principles in dendritic networks. These findings bridge biophysical mechanisms to clinical applications in neurodegenerative diseases. Awards: Burroughs Wellcome Fund Career Award at the Scientific Interface (2022) Liao's lab is part of Northeastern's interdisciplinary network, seeking to translate biophysical insights into medical therapies. They are currently recruiting students/postdocs for projects combining imaging, modeling, and genetic tools.

• Paediatric Anaesthesia
• Neurodevelopmental Effects of Anaesthesia
• Data Science in Medicine
• +3 more

Associate Professor Justin Skowno holds a Conjoint academic position in the Discipline of Child and Adolescent Health at the University of Sydney and serves as a Senior Staff Specialist in the Department of Anaesthesia at The Children's Hospital at Westmead. He is the Director of Research in Anaesthesia at the hospital and a medical sustainability lead for the Sydney Children’s Hospitals Network. His expertise includes paediatric cardio-thoracic and oncological surgery anaesthesia, sustainability in medicine, and data science applications in healthcare. Education: MBChB, DA(SA), FCA(SA), FANZCA, PhD Roles: Chairperson of the Research Subcommittee of the Society for Paediatric Anaesthesia in New Zealand and Australia (2020–2023), current committee member His research focuses on three areas: (1) physiological monitoring under anaesthesia using optical/electrical methods, including near-infrared spectroscopy (NIRS); (2) short- and long-term effects of anaesthetics on neurodevelopment, particularly in infants; and (3) data science in medicine and anaesthesia, such as large-scale critical care data systems. He has led initiatives like the Big Data for Small People project, which integrates anaesthesia, paediatric intensive care, and neonatal intensive care data to improve clinical decision-making. Publications highlight his work on EEG monitoring, NIRS applications, sustainability in anaesthesia, and clinical trials evaluating drug combinations (e.g., TREX trial). He contributes to editorial boards (e.g., Pediatric Anesthesia ) and peer reviews for major journals like Anesthesiology . Teaching: Daily clinical teaching in theatre, small-group tutorials, and lectures at the University of Sydney’s ‘Neuromonitoring in Anaesthesia’ unit Projects: Includes the PHANTOM study (prehospital tissue oximetry), international collaborations on EEG metrics with Dr. Alexander Caicedo-Dorado (Belgium) and Dr. Ian Yuan (USA) He advocates for climate-friendly anaesthetic practices and has spearheaded efforts to quantify the carbon footprint of nitrous oxide use in paediatric anaesthesia.

• Bio-inspired computation
• Neural networks
• Unconventional computing
• +3 more

Simon O'Keefe is a Professor in the Department of Computer Science at the University of York. He holds a DPhil in Computer Science from the University of York, preceded by MSc degrees in Operational Research (Lancaster) and Information Processing (York), and a BA in Natural Science/Engineering from the University of Cambridge. His research focuses on bio-inspired computation, particularly neural networks and unconventional computing paradigms. He has held roles including Deputy Head of Department (Online) and previously served as Reader (2022-2024), Senior Lecturer, Lecturer, and Research Assistant at York. His work spans computational neuroscience, neuromorphic engineering, and AI applications in crisis response. Notable contributions include studies on reservoir computing using nanomagnetic devices, Arabic temporal understanding, and domain adaptation techniques. His publications explore topics like spike-based computing, cellular automata classification, and dependency-based bilingual embeddings. Prof O’Keefe’s research integrates theoretical computer science with practical applications in robotics, disaster informatics, and chemical computing systems. He leads the Artificial Intelligence research group at York and has contributed to interdisciplinary projects involving biochemistry and materials science.