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Craig EvansView profile

Senior Lecturer

• Water quality science
• Environmental microbiology
• Faecal source tracking
• +6 more

Dr. Craig Evans is a Senior Lecturer in Environmental Science and Management at the University of Newcastle , affiliated with the College of Engineering, Science and Environment . With over 15 years of academic experience, his career spans teaching, research, and postgraduate supervision in biological and environmental sciences. Education: BSc (Biochemistry, University of New England), PhD (Science, University of Newcastle) Research Expertise: Chromatography & mass spectrometry for contaminant detection, molecular microbiology for pathogen tracking, and metabolic profiling for physiological studies Teaching Portfolio: Water quality science, emerging contaminants, freshwater systems, and advanced analytical techniques His research portfolio includes world-first studies on biostability in water distribution networks, aquatic Streptomyces activity, rainwater micro-ecology, and wind pattern impacts on microbial composition. Recent publications focus on antibiotic resistance in water systems, probiotic applications, and cyanobacterial dynamics. Key Research Areas: Aquatic ecology and pollution Faecal source tracking methodologies Microbial indicators in water quality Human and equine metabolic disturbances Emerging contaminants in water recycling Biostability in drinking water networks Dr. Evans has secured $724,141 in grants across 24 projects, including studies on: Soil health in viticulture Biocontrol of aquatic weeds Climate change water quality impacts Real-time cyanobacterial monitoring He has supervised 6 completed PhD projects and 2 ongoing investigations, with focus areas in: Invasive aquatic plant control Probiotic dairy applications Microbial water quality assessment

Mark EhrensbergerView profile

Associate Professor

• Orthopaedic Biomaterials
• Orthopaedic Biomechanics
• Biofilm Prevention
• +3 more

Mark Ehrensberger is an Associate Professor in the Department of Biomedical Engineering at the University at Buffalo, State University of New York. He is also the Director of the Kenneth A. Krackow MD Orthopaedic Research Lab within the Orthopaedics division, where he focuses on translational research for orthopaedic implant improvement. PhD, Bioengineering, Syracuse University (2008) MS, Bioengineering, Syracuse University (2002) BS, Bioengineering, Syracuse University (2000) His research spans orthopaedic biomaterials and orthopaedic biomechanics , with specific emphasis on electrochemical surface interactions of metallic implants and innovative mechanical testing for tissue repair . He has pioneered methods for infection control via electrical stimulation and osseointegration enhancement. His 15 most recent publications highlight interdisciplinary work in electrochemical biofilm eradication, titanium corrosion resistance, and biomechanical stability analysis for shoulder and dental implants. Key trends include electrotherapy integration with antibiotics and computational modeling of implant microenvironments. Young Investigators Initiative, US Bone and Joint Decade (2008) Jeanette Wilkins Award, Musculoskeletal Infection Society (2015) Senior Teacher of the Year, School of Engineering and Applied Sciences, University at Buffalo (2022) Ehrensberger has secured over $2.3 million in grants, including awards from the Office of Naval Research and Congressionally Directed Medical Research Program. His lab, the Ehrensberger Orthopedic Research Group (EORG), collaborates with clinicians and engineers to develop technologies like the Electrochemical Sense and Respond Osseointegrated Prosthesis .

David MinhView profile

Associate Professor

• Computational Chemical Biology
• Protein Dynamics
• Molecular Interactions
• +3 more

David Minh is an Associate Professor of Chemistry and the Robert E. Frey, Jr. Endowed Chair in Chemistry at Illinois Institute of Technology (IIT), affiliated with the Lewis College of Science and Letters. He serves as Associate Director of the Center for Interdisciplinary Scientific Computation (CISC). His research focuses on computational chemical biology, developing methods to predict protein dynamics and molecular interactions for structure-based drug design. Education: Ph.D. in Chemistry, University of California, San Diego M.S. in Chemistry, University of California, San Diego B.A. in Chemistry, University of California, Berkeley Research Interests: Dr. Minh's group specializes in computational methods to study small molecule-biological interactions, including: Structural mechanisms of G protein-coupled receptors (GPCRs) and signaling proteins Advanced binding free energy calculations incorporating entropy Enhanced sampling in molecular simulations Bayesian statistical integration of experimental data Modeling bacterial metabolic enzymes and inhibitor development Articles Trends: Recent work emphasizes antiviral drug discovery (e.g., SARS-CoV-2 protease inhibitors), Bayesian analysis of binding data, and computational tools like AlGDock for free energy predictions. Collaborations with biologists (e.g., Oscar Juárez) drive antibiotic discovery targeting pathogenic bacteria. Advising & Grants: Leads interdisciplinary projects funded by NIH and industry partnerships. Mentors students in computational modeling and experimental validation. Active in open science initiatives like the D3R Grand Challenge in drug design. Labs & Teams: Directs the Minh Computational Chemistry Lab at IIT, focusing on molecular simulations, machine learning, and interdisciplinary collaborations to address biomedical challenges.

ANDREA DI DONATOView profile

Associate Professor

• Electromagnetic Fields
• Nanotechnology
• Biomedical Engineering
• +4 more

Prof. Andrea Di Donato is an Associate Professor at the Department of Information Engineering, University of Ancona and Marche Polytechnic (UNIVPM). His research focuses on electromagnetic fields, nanotechnology, and biomedical engineering with particular emphasis on scanning microwave microscopy, optical holography, and graphene characterization. He holds a position within the 'Electromagnetic Fields' research group, contributing to advancements in materials science, photonics, and biomedical imaging. His work integrates cutting-edge techniques such as inverted scanning microwave microscopy for nanoscale biological imaging and development of photo-mobile polymer films for light-controlled actuation systems. Key projects include holographic grating sensors, tunable lasers, and studies on light-induced effects in 2D materials like graphene oxide. Prof. Di Donato's laboratory specializes in multi-disciplinary approaches combining microwave engineering, optical physics, and nanotechnology. His contributions span from theoretical formulations (e.g., conductivity models for 2D materials) to practical applications like biomedical diagnostics and advanced material fabrication.

• Soft Robotics
• Mechanical Metamaterials
• Nonlinear Dynamics
• +3 more

Bas Overvelde is an Associate Professor (part-time) at Eindhoven University of Technology (TU/e) and Group Leader of the Soft Robotic Matter Group at AMOLF, an institute for fundamental physics research in Amsterdam. He holds a PhD in Applied Mathematics from Harvard University and dual MSc/BSc degrees in Mechanical Engineering from Delft University of Technology. His research integrates soft robotics and mechanical metamaterials to develop autonomous systems capable of self-adaptation through shape, nonlinearities, and feedback mechanisms. Education: PhD in Applied Mathematics, Harvard University (2016) MSc Mechanical Engineering (cum laude), TU Delft (2012) BSc Mechanical Engineering (cum laude), TU Delft (2009) Research Interests: Overvelde’s work focuses on embodying intelligence in soft robots and metamaterials via computational/experimental methods. Key areas include nonlinear dynamics , autonomous systems , and bio-inspired design . His group explores programmable materials, fluidic circuits, and retrofit sensing strategies to achieve adaptive behaviors in mechanical systems. Recent Trends in Articles: Recent publications emphasize pneumatic coding , electronics-free fluidic robots , and hybrid control systems . These studies highlight innovations in soft robotics autonomy, sensor integration, and programmable materials for self-sustaining systems. Awards: ERC Starting Grant (2020) for fluidic circuit research in autonomous robotics. Advising & Grants: Supervised 5 academic works (names not listed). Active in TU/e’s Device Integrated Responsive Materials course. Research supported by ERC funding and collaborations in fluidics, metamaterials, and robotics. Labs/Teams: Leads the Soft Robotic Matter Group at AMOLF, focusing on interdisciplinary projects combining physics, engineering, and biology to advance autonomous robotic materials.

James C. LiaoView profile

Associate Professor

• Fish Locomotion
• Hydrodynamics
• Sensory Biology
• +3 more

Dr. James C. Liao is an Associate Professor at the University of Florida, affiliated with the Department of Radiation Oncology and based at the Whitney Laboratory for Marine Bioscience. His research integrates biomechanics, sensory biology, and robotics to study fish locomotion and environmental interactions. Liao earned a B.A. in Biology (magna cum laude) from Wesleyan University, followed by an M.A. and Ph.D. in Biology from Harvard University. Postdoctoral training included neurobiology at Cornell University. Research interests focus on fish swimming efficiency, sensory systems (e.g., lateral line), and the interplay between morphology, flow dynamics, and behavior. Key areas include: 1) Biomechanics of fish acceleration and flow refuging strategies; 2) Neural mechanisms underlying sensory feedback during locomotion; 3) Evolutionary adaptations in cavefish sensory systems; and 4) Development of bio-inspired robotics. Recent work explores vortex street interactions, predator-prey dynamics, and microbiome-resistome dynamics in agricultural contexts. Publications highlight interdisciplinary methods, combining experimental biology with computational fluid dynamics and robotics. Notable themes include flow sensing in turbulent environments, energy optimization in swimming, and sensory modulation under stress. Collaborative efforts bridge marine biology, engineering, and medical applications (e.g., yeast-based cancer therapies). Liao leads the Liao Lab at Whitney Laboratory, focusing on experimental studies of aquatic organisms and their hydrodynamic environments. Ongoing projects include 3D-printed fish prototyping for flow analysis, optogenetic dissection of sensory circuits, and field studies of wild fish schooling behaviors.

Sarah M. ColemanView profile

Research Fellow

• Bioinformatics & Computational Biology
• Probability and Statistics
• Metabolic Engineering
• +3 more

Sarah M. Coleman is a Postdoctoral Research Fellow in the Department of Statistics and Data Sciences at the University of Texas at Austin. Her research focuses on integrating computational and experimental approaches to advance metabolic engineering, synthetic biology, and bioprocess optimization. She holds a PhD in Chemical Engineering (2024), MS in Statistics (2024), and BS in Chemical-Biological Engineering (2019) from MIT. Her work emphasizes sustainable biomanufacturing using non-traditional feedstocks and improving microbial strain robustness through systems biology methods. Key research interests include metabolic pathway engineering for omega-3 production, statistical modeling of synthetic gene circuits, and leveraging Yarrowia lipolytica for industrial applications. She explores topics such as extracellular electron transfer for living materials and CFD modeling in bioreactor scale-up. Her interdisciplinary background combines chemical engineering principles with advanced statistical analysis to solve complex bioprocess challenges. Recent publications highlight innovations in microbial tolerance to industrial waste, plant-based photonic systems, and biosensor-driven metabolic pathway optimization. Her research bridges computational modeling with lab-scale experimentation, addressing scalability and sustainability in biotechnology. While no formal awards are listed, her contributions reflect cutting-edge advancements in bioengineering and data-driven bioprocess development.

Peter GiannoudisView profile

Clinical Professor

• Bone Regeneration
• Fracture Fixation Complications
• Pelvic and Acetabulum Reconstruction
• +3 more

Professor Peter Giannoudis is a Clinical Professor at the University of Leeds School of Medicine and Honorary Consultant at Leeds General Infirmary, managing a major trauma unit serving 3.5 million people. He leads the Trauma & Orthopaedics section and heads clinical trials at LGI. His roles include Editor-in-Chief of Injury Journal and past leadership in global societies like the European Society of Pelvis and Acetabulum. Education: MD (2000, University of Leeds), trauma fellowships at University of Louisville (USA) and Hannover Medical School (Germany). Professional memberships span prestigious bodies like the Royal College of Surgeons and American College of Surgeons. Research focuses on bone regeneration, mesenchymal stem cells, and immune-inflammatory responses post-trauma. He has 600+ peer-reviewed papers (h-index 93, 32,567 citations), with key interests in fracture non-union biology, bioengineering, and implant evaluation. Collaborations include Leeds Institute of Rheumatic and Musculoskeletal Medicine and AO Foundation. Teaching involves postgraduate orthopaedic residents, trauma fellows, and AO fellows. Over 250 international lectures since 2004 highlight his global impact. Awards: FRCS, FACS, Injury Journal Editor-in-Chief (2010–present) Grants/Research: $2M+ in funded studies on biomaterials and fracture healing Labs/Teams: Regenerative Medicine Group, Orthopaedics and Trauma Sciences

Daniel RedheadView profile

Assistant Professor

• Anthropology
• Evolutionary Biology
• Psychology
• +5 more

Roles and Affiliations: Daniel Redhead is an Assistant Professor at the University of Groningen (since 2023) within the Department of Sociology and the Inter-university Center for Social Science Theory and Methodology (ICS). He concurrently serves as a Guest Researcher at the Max Planck Institute for Evolutionary Anthropology's Department of Human Behavior, Ecology and Culture. Previously, he held roles including Group Leader (2020–2023) and Postdoctoral Research Fellow (2018–2020) at the same institute, and Visiting Researcher at the University of Illinois at Urbana-Champaign (2017–2018). Education: PhD in Psychology (2015–2018), University of Essex Masters by Research (MA) in Anthropology (2014–2015), Durham University BA (Hons) in Archaeology and Anthropology (2011–2014), Durham University Research Interests: Redhead focuses on cultural evolution, human behavioral ecology, social hierarchy, and social network analysis . His work examines how social structures, cooperation, and inequality emerge in diverse contexts—from rural Colombian communities to foraging societies in the Congo Basin. He employs advanced statistical methods and computational models to analyze complex social systems. Articles Trends: His recent publications emphasize methodological innovations (e.g., Bayesian network analysis, STRAND software), cross-cultural studies of cooperation and status, and interdisciplinary approaches bridging anthropology, evolutionary biology, and sociology. Awards: Human Behavior & Evolution Society Margo Wilson Award (2024) NSF HNDS Program Co-PI Grant ($400,000, 2022) Leakey Foundation Research Grant (2025) Teaching & Grants: Redhead teaches courses on Solidarity & Social Contexts and Methodology & Data Collection at the University of Groningen. He actively secures grants as PI/Co-I, including multi-million-dollar NSF and ESRC funding.

• Water Treatment
• Resource Recovery
• Environmental Biotechnology
• +2 more

Professor Ana Soares is Professor of Biotechnology Engineering at Cranfield Water Science Institute, Cranfield University, and an IWA Fellow specializing in environmental water protection and resource recovery. Her research develops sustainable solutions for municipal and industrial wastewater management, focusing on bioreactor technologies and circular economy approaches. Education includes a PhD in Environmental Engineering from Lund University and MEng in Biotechnology Engineering from Algarve University. Research explores innovative bioreactor management for nutrient and energy recovery from wastewater, with emphasis on phosphorus recovery, anaerobic treatment optimization, and carbon capture. Work bridges scientific innovation and practical applications through collaborations with water utilities and industrial partners. Publications focus on advancing wastewater resource recovery technologies, with recent work on neural network corrosion modeling, phosphorus recovery methods, and SARS-CoV-2 wastewater surveillance. Honors include recognition as IWA Fellow for contributions to water research and leadership in international conferences. Directs research projects funded by EU Horizon 2020 (SMART-PLANT, nextGen, ENERWATER) and supervises PhD students in water biotechnology. Chaired IWA conferences on ecotechnologies and leading edge water technologies.

• Neuroscience
• Complex Systems Analysis
• Statistical Physics
• +3 more

Ben Fulcher is an Associate Professor and Senior Lecturer in the School of Physics at The University of Sydney, leading the Dynamics and Neural Systems Group. His research focuses on applying statistical and physics-based methods to study complex systems, with a strong emphasis on neuroscience. He investigates brain structure and function dynamics, particularly exploring the interplay between genetics, neural connectivity, and information processing mechanisms. Fulcher has pioneered tools like hctsa (highly comparative time-series analysis) for analyzing large-scale neuroimaging and physiological data. Research Interests Complex systems analysis Neural dynamics and connectomics Feature-based time-series analysis Gene-brain connectivity relationships Imaging transcriptomics Recent Work Trends Fulcher's recent articles emphasize time-series analysis applications in neuroscience, including studies on anesthesia effects, brain connectivity, and criticality in neural systems. His work bridges computational methods (e.g., generative models, matrix-product states) with biological insights, often involving interdisciplinary collaborations. Key themes include understanding how brain geometry influences dynamics and translating genetic data into connectomic predictions. Grants & Projects 2024: ARC Future Fellowship for sleep research using complex systems methods 2023: Discovery Project on network neuroscience and AI integration Advising & Labs Fulcher supervises research students and directs the Dynamics and Neural Systems Group, which develops open-source tools like the theft R package for time-series analysis. His lab’s work has been featured in media outlets discussing brain structure-function relationships and comparative neurobiology.

• Bioinformatics
• Protein Stability
• Molecular Biology
• +3 more

Amelie Stein is an Associate Professor at the Department of Biology, University of Copenhagen, specializing in Bioinformatics and RNA Biology. Her research focuses on protein stability, molecular mechanisms of disease variants, and computational methods for protein design. She is affiliated with the UCPH Quantum Hub, reflecting interdisciplinary interests in biological systems. Her work integrates bioinformatics tools, mutational scanning, and structural biology to understand protein degradation pathways and their relevance to human diseases such as Lynch syndrome and metabolic disorders. Key research areas include analyzing protein variants using deep learning models (e.g., SSEmb), developing web-based tools like MutationExplorer for 3D visualization, and characterizing disease-linked mutations in proteins such as Parkin and MLH1. Her publications highlight breakthroughs in rapid protein stability predictions, degon mapping, and the interplay between protein toxicity and degradation. No scientific awards are explicitly mentioned in the provided texts. Stein’s research also explores the application of computational approaches to biotechnology and therapeutic development, emphasizing translational applications of her findings. Her lab, linked to the SCARB research group (https://www1.bio.ku.dk/english/research/scarb/), focuses on structural and computational biology, with ongoing projects involving protein quality control networks and enzyme variant analysis. Collaborations span molecular biology, bioinformatics, and interdisciplinary quantum-related research through her UCPH Quantum Hub membership.

Sanket DeshmukhView profile

Associate Professor

• Molecular Dynamics Simulations
• Materials Science
• Tribology
• +7 more

Sanket Deshmukh is an Associate Professor in the Department of Chemical Engineering at Virginia Tech. His research emphasizes computational materials science, combining molecular dynamics simulations, machine learning, and Bayesian statistical methods to study structure-property relationships in polymers, biomaterials, and nanomaterials. He focuses on developing coarse-grained models for predictive simulations of complex systems and advancing applications in energy storage, drug delivery, and tribology. Education: Ph.D., University College Dublin, Ireland (2009) M.Sc., University of Pune, India (2004) B.Sc., University of Pune, India (2002) Research Interests: Molecular dynamics on petascale supercomputers Nano- and meso-scale tribology Smart polymers and bio-materials Corrosion mechanisms and surface chemistry Machine learning for materials design His work bridges computational theory and experimental validation, with notable contributions to metal-organic frameworks (MOFs), thermoresponsive polymers, and graphene-based systems. Recent articles highlight advancements in AI-driven drug discovery, high-entropy alloys, and self-folding nanomaterials. Deshmukh’s research group actively explores applications in sustainable energy, biomedical engineering, and advanced materials. Lab activities include the Research Group Google Scholar , emphasizing interdisciplinary collaboration in materials innovation.

David YaronView profile

Professor

• Computational Chemistry
• Quantum Chemistry
• Materials Science
• +6 more

David Yaron is a Professor of Chemistry at Carnegie Mellon University's Mellon College of Science. His research focuses on computational chemistry, machine learning applications in chemical modeling, and educational technology. He holds a Ph.D. from Harvard University (1990) and a B.S. from Wilkes College (1983). Yaron's work includes developing semiempirical quantum chemical models, designing dyes for biological imaging, and creating virtual labs like ChemCollective and ChemVLab+. He has received numerous awards, including the Richard Moore Award (2023) and the Henry Dreyfus Teacher-Scholar Award (2000). His educational initiatives emphasize data-driven learning and open-ended problem-solving. Research Interests: Machine Learning for Chemistry, Photophysics, Materials Theory, Chemical Education Key Projects: Quantum chemical models via ML, design of fluorogenic dyes, light-driven molecular motors Education: Ph.D. Harvard (1990), B.S. Wilkes College (1983) Awards highlight both research (e.g., Camile & Henry Dreyfus Foundation) and teaching (e.g., Teaching Innovation Awards). His lab has advised over 30 graduate and undergraduate students. Publications span quantum chemistry methods, polymer science, and educational technology.

Denise DoolanView profile

Professor

• Molecular Immunology
• Vaccinology
• Infectious Diseases
• +5 more

Professor Denise Doolan is an Affiliate Professor in The University of Queensland's School of Chemistry and Molecular Biosciences and Deputy Director (Research) at the Institute for Molecular Bioscience (IMB). She previously served as Deputy Director of the Australian Institute of Tropical Health and Medicine and Director of the JCU Centre for Molecular Therapeutics. Her research focuses on molecular immunology, vaccine development, and omics-based approaches to combat infectious and chronic diseases, particularly malaria and Epstein-Barr virus (EBV)-related malignancies. She leads cross-disciplinary programs in antigen discovery, host-pathogen immunity, and biomarker development, leveraging genome-based technologies and human disease models. Academic Positions: Affiliate Professor, Deputy Director (IMB), Affiliate of Centre for Superbug Solutions Executive Roles: President of International Society for Vaccines (2021–2023), Member of Australian Medical Research Advisory Board Her research interests include vaccine engineering, systems immunology, and therapeutic development. Key projects involve identifying EBV protein signatures linked to Multiple Sclerosis and malaria immunity profiling using controlled human infection models. She is renowned for her work in malaria immunology and omics-based diagnostics, recognized with Fellowships from the International Society for Vaccines and Australian Society of Parasitology. Recent publications highlight her work on EBV antibody responses in lymphomas, malaria vaccine candidates, and molecular diagnostics for vascular diseases. She actively supervises PhD students in areas like EBV-MS links and malaria systems immunology, supported by grants from NIH, MS Research Australia, and ARC. Scientific Awards: ISV Fellowship (2017), ASP Fellowship (2019) Grants: NIH-funded malaria vaccine projects, EBV-MS diagnostics (MS Research Australia) Her lab collaborates on developing point-of-care tests and next-generation vaccines, emphasizing translational research to address global health challenges.