Gayan Wijesinghe is a Lecturer (Education Focused) at the School of Computing Technologies, RMIT University, Australia. His research interests include Artificial Intelligence, Image Processing, Genetic Programming, and Algorithmic Reasoning. He focuses on developing educational tools to enhance programming skills and cognitive development in students. His work spans algorithm design, evolutionary computation, and applications in computer vision and medical imaging. Research outputs include contributions to genetic programming, image classification, and optimization techniques. Notable projects explore trajectory creation for code writing and parameter optimization in object detection. Collaborations have involved institutions and researchers in evolutionary algorithms and software engineering. No scientific awards or grants are explicitly mentioned in the provided texts. His academic role emphasizes education-focused research and innovation in computing technologies.
Annie Angers is a Professor in the Department of Biological Sciences at the Université de Montréal, affiliated with the Faculty of Arts and Sciences. Her research focuses on cellular physiology, particularly receptor internalization, mitochondrial biology, and ubiquitin ligase regulation. She leads a lab investigating molecular mechanisms in vesicular trafficking, mitochondrial-derived peptides, and mitophagy, using techniques like CRISPR/Cas9 and immunofluorescence. Dr. Angers has supervised numerous students and secured grants from NSERC and FRQNT, contributing to projects on endocytosis, mitochondrial genomics, and molluscan cell lines. Her work bridges molecular, cellular, and evolutionary biology, with implications for understanding cellular signaling and disease mechanisms. Education: Ph.D. in Biochemistry from Université de Montréal (1998), Postdoctoral studies at McGill University (2000–2003) and University of Texas (1998–2000). Grants: NSERC Discovery Grants, FRQNT Team Projects, including studies on ITCH ubiquitin ligase and mitochondrial alternative proteins. Research Interests: Ubiquitin-mediated signaling, mitochondrial function, and evolutionary genomics in bivalves. Collaborations: Works with Sophie Breton and Xavier Roucou on mitochondrial alternative proteins and molluscan cell lines. Dr. Angers' lab is located in the Science Complex at the University of Montreal’s MIL Campus. She actively mentors students and researchers, emphasizing external scholarship applications for funding.
Dr. Maximilian Fottner is a Lecturer at the Department of Chemistry and Applied Biosciences at ETH Zürich, affiliated with the Laboratory of Organic Chemistry (LOC). His research focuses on chemical biology, protein biochemistry, and genetic code expansion techniques, particularly exploring ubiquitin signaling, posttranslational modifications, and protein engineering. He develops innovative tools for protein labeling, conjugation, and functionalization, with applications in cellular signaling, proteostasis, and therapeutic design. His work bridges biochemistry, nanotechnology, and molecular biology to address fundamental questions in protein function and disease mechanisms. Recent research highlights include studies on ubiquitin-proteasome system dynamics, genetic code expansion for deciphering the ubiquitin code, and site-specific protein modifications using sortase enzymes. Fottner's lab also investigates protein-membrane interactions and the role of intestinal myofibroblasts in epithelial cell plasticity. He collaborates on projects involving magnetic nanoparticle-based enzyme immobilization and integrin-targeted tumor imaging agents. His teaching includes courses like 'Genetic Code Expansion for Studying Posttranslational Modifications' and 'Chemical Biology and Synthetic Biochemistry.' Fottner's contributions span from foundational biochemical studies to translational applications in biotechnology and medicine.
Juan Neirotti is a Senior Lecturer in Applied Mathematics & Data Science at the School of Computer Science and Digital Technologies, Aston University, United Kingdom. He has been affiliated with Aston University since 2004, previously holding post-doctoral positions at Purdue University, University of Rhode Island, and University of Sao Paulo. Research Interests: Statistical Mechanics, Critical Phenomena, Learning Theory, Optimization Problems Teaching: Artificial Neural Networks, Statistical Machine Learning (Masters in Data Sciences) His research focuses on the intersection of statistical mechanics and machine learning, particularly in modeling opinion dynamics and neural network systems. Recent works include studies on anisotropic societies, delayed information effects, and neural network modeling of social systems. Notable research trends involve applying physics-based models to computational problems, with a strong emphasis on committee machines, genetic algorithms, and dynamical systems. His work spans both theoretical and applied domains, including CDMA interference cancellation and quantum spin systems.
Professor Miliou N. Amalia is a faculty member at the Department of Informatics, Aristotle University of Thessaloniki. She holds a PhD in Electrical & Computer Engineering from the University of Florida. Her academic roles include Professor and ERASMUS Coordinator. Her research focuses on optical communications, including optoelectronic circuits, 5G networks, and secure optical systems. She has supervised numerous students and contributed to projects like 5G-PHOS and ePhos. Education: BSc Physics (Aristotle University), MSc/PhD in Electrical Engineering (University of Florida) Research interests span optical switching, converged fiber-wireless technologies, and high-speed optical memory architectures. Her work includes over 100 publications in journals like IEEE/OSA and conferences such as OFC and ECOC. She leads initiatives in optical network intelligence and reconfigurable data planes. Administrative roles include curriculum development and international program coordination.
Massimo Vergassola is a Professor at École Normale Supérieure-PSL (ENS-PSL) in Paris and Director of the ENS-PSL Center for Quantitative Biology. His research bridges physics and life sciences, focusing on the physics of living systems with emphasis on embryonic development , animal behavior , and biological navigation . He holds a joint appointment as CNRS Directeur de Recherche and leads initiatives at the PariSanté Campus Val-de-Grâce, integrating institutions like Inserm and Inria. Education: Laurea in Physics (University La Sapienza, Rome, 1985-1990); PhD in Physics (University Nice-Sophia Antipolis, 1990-1993); Post-doc at Princeton University (1994-1995) His research spans fluid dynamics , statistical physics , and biophysics , addressing problems like olfactory navigation , chemotaxis , cell size control , and mitotic wave dynamics . Recent work explores Bayesian search strategies in turbulent flows and topological interactions in developmental biology. His 15 most recent articles reveal a focus on olfactory search algorithms , embryonic patterning , gene regulation , and turbulent transport . Keywords include Biophysics , Computational Biology , and Nonlinear Dynamics . Scientific Awards : APS Fellow, APS Outstanding Referee, CNRS Bronze Medal, Fondation de France Thérèse Lebrasseur Prize, EADS Grand Prix, and Accademia dei Lincei student award Vergassola contributes to academic governance via editorial boards ( Physics Reports , JSTAT ) and grant committees (Human Frontier Science Project). His lab at ENS-PSL collaborates with institutions like Harvard Center for Quantitative Biology and Pasteur Institute.
Anastasia Callaghan is a Professor of Biochemistry and Molecular Biophysics at the University of Portsmouth, affiliated with the Faculty of Science & Health and the School of the Environment and Life Sciences. She is also associated with the Centre for Enzyme Innovation, the Institute of Life Sciences and Healthcare, and the Future of Law, Innovation and Technology Research Centre. She is an active PhD supervisor and leads a research group focused on RNA biology and molecular biophysics. Her research expertise lies in RNA biology, particularly post-transcriptional gene regulation, RNA degradation mechanisms involving ribonucleases like RNase E, and the role of RNA chaperones such as Hfq in bacterial virulence. She also investigates the communication between RNA degradation machinery and central metabolism, and develops novel technologies like RNA arrays for studying RNA interactions. Her work has significant implications for antibacterial drug discovery and biosensor development. Her recent publications demonstrate a strong focus on RNA-based molecular tools, antibacterial targeting, and environmental biosensing. Trends include the development of RNA array technologies, investigation of RNase E and Hfq in pathogenic bacteria, and application of biosensors for public health surveillance, including wastewater monitoring for SARS-CoV-2. Her work bridges fundamental molecular mechanisms with translational applications in health and environmental sustainability. She has received research funding and support from prominent organizations including the Biotechnology and Biological Sciences Research Council (BBSRC) and the Defence Science and Technology Laboratory (DSTL). She is a Principal Investigator (PI) on projects such as 'RNA Array Technology: Developing a High Throughput RNA Epigenetics Tool' and 'A wastewater biosensor enabling detailed COVID-19 population surveillance,' and a Co-Investigator on the Centre for Enzyme Innovation and the Preventing Plastic Pollution with Engineering Biology (P3EB) Mission Hub. She leads a laboratory within the Molecular Biophysics Research Group at the University of Portsmouth, collaborating with researchers such as Andy Pickford and Darren Gowers. Her lab combines biophysical, biochemical, structural, and molecular techniques to study post-transcriptional gene regulation and develop innovative RNA technologies.
Prof. Robert Mach is a faculty member at TU Wien's Institut für Verfahrenstechnik, Umwelttechnik und technische Biowissenschaften. His research focuses on microbial biotechnology, genetic regulation in fungi, and applications in bioindustrial processes. He leads studies on Trichoderma reesei for enzyme production and biorefinery strategies, as well as radiation-based pest control methods for tsetse flies. His work integrates molecular biology, bioinformatics, and environmental engineering to address challenges in sustainable bioprocessing and vector-borne disease management. Key areas of research include strain optimization in fungi, detoxification of lignocellulosic hydrolysates, and development of the Sterile Insect Technique using X-ray irradiation. Collaborations span entomology, microbiology, and computational biology, with contributions to genomic tools like FunOrder 2.0 for analyzing fungal biosynthetic pathways. Prof. Mach also investigates symbiotic relationships between insects and microbes, advancing understanding of tsetse fly microbiota and their impact on disease transmission.
Andrea Benucci is a Professor in Visual Neuroscience at Queen Mary University of London (QMUL), School of Biological and Behavioural Sciences, with an honorary Senior Lecturer appointment at University College London (Institute of Ophthalmology) and a Senior Visiting Scientist role at RIKEN-CBS. His research focuses on linking neural circuit architectures to computations in visual processing and decision-making, integrating all-optical dissection of circuits with artificial neural network models. He has held academic positions at RIKEN-CBS (2014–2024) and UCL, with postdoctoral training at Smith-Kettlewell Eye Research Institute (San Francisco). His lab develops experimental platforms for mouse behavior and physiology, including automated training setups and optogenetic techniques. Key research themes include neural signal interactions, sensory-motor integration, and attention-driven modulation of cortical activity. Education Bachelor’s in Physics, University of Padua, Italy PhD in Neuroscience, ETH Zurich/University of Zurich Research Interests Benucci’s work bridges experimental neurophysiology and computational modeling. His lab investigates how visual information is processed in the cortex, emphasizing context-dependent computations and the role of motor-related signals in perceptual stability. Techniques include two-photon imaging, optogenetics, and artificial neural networks constrained by biological data to predict behavioral outcomes under perturbations. Recent studies explore efficient coding of natural images and the anatomical basis of thalamocortical circuits in whisker-related processing. Grants & Labs His lab at QMUL focuses on high-throughput mouse behavior and physiology. Collaborations include developing transgenic mice for neural circuit targeting (e.g., with Madisen et al., 2015). Postdoctoral opportunities are available in experimental (optogenetics, imaging) and theoretical (machine learning, ANN modeling) neuroscience. Labs & Teams Current lab members include postdocs, PhD candidates, and technicians. Former members from his RIKEN-CBS era include Dmitry Lyamzin, Federico Bolaños, and others who contributed to studies on arousal states, attention, and cortical dynamics.
Professor Rachel Burton is a plant scientist and molecular biologist at the University of Adelaide's School of Agriculture, Food and Wine, within the Faculty of Sciences, Engineering and Technology. She holds the rank of Professor and specializes in plant cell wall biology, cereal grain quality, and biofuel feedstocks. Her research focuses on crops like barley, psyllium (Plantago), chia, agave, industrial hemp, and medicinal cannabis, emphasizing their applications in food, health, and renewable energy. Roles: Head of Department (Plant Science/Food), Chief Investigator in ARC Centres of Excellence (Plant Cell Walls and Plant Energy Biology). Research Themes: Cell wall polysaccharide biosynthesis, mucilage biology, agave bioethanol, and orphan crop development. Her work bridges fundamental plant science with applied research, addressing climate change and sustainable agriculture. Collaborations include Vircura for agave tissue culture and biofuel development. She is a prominent advocate for gender equity in STEM, participating in initiatives like Science & Technology Australia's Superstars of STEM program, mentoring, and public outreach. Key contributions include the Plantago genome assembly, elucidating mucilage biosynthesis pathways, and advancing understanding of cellulose synthases in plants. Her research has been featured in journals like Frontiers in Plant Science and Journal of Experimental Botany . Awards include recognition through the Superstars of STEM program and invitations to international conferences. Her grants and collaborations fund projects on biofuel feedstocks, crop resilience, and functional food ingredients. Labs/Teams: Active in the ARC Centres of Excellence and collaborative networks focused on plant cell walls and bioenergy. Her group emphasizes science communication, engaging with schools and the public through initiatives like Pint of Science.
Prof. Hana Algül is a Professor at the Technical University of Munich (TUM), leading the Chair of Tumor Metabolism within the TUM School of Medicine and Health. She holds a dual background in clinical medicine and scientific research, having earned degrees from the University of Ulm and the University of California Davis. Since 2003, she has served as a Clinician Scientist at TUM's Klinikum rechts der Isar, focusing on pancreatic cancer mechanisms and translational research. Her academic career includes key roles in clinical trials (e.g., NEONAX) and drug development. Her research emphasizes tumor metabolism's role in pancreatic cancer progression, particularly autophagy regulation, immune-tumor interactions, and cachexia pathways. She investigates carcinogenesis triggers and immune modulation strategies, aiming to identify novel therapeutic targets. Notable contributions include studies on KRAS-driven cancers, biomarker discovery via imaging, and the impact of clinical trials during pandemics. Prof. Algül’s work integrates preclinical models (mouse studies) with clinical data, addressing both molecular mechanisms and patient outcomes. Her team explores synergistic drug combinations (e.g., SHP2/ERK inhibition) and biomarkers for personalized treatment. She has published extensively on pancreatic cancer subtypes, metastasis pathways, and the effects of systemic therapies like olaparib in BRCA-mutated cancers. Education: MD from University of Ulm, Postdoctoral work at University of California Davis Labs/Teams: TUM Cancer Center, Klinikum rechts der Isar Research Group Key Projects: NEONAX trial (perioperative chemotherapy), POLO trial (olaparib maintenance), Hourglass subtyping framework
Simon Rayner is a Professor II in the Department of Medical Genetics at the University of Oslo (UiO), affiliated with Oslo University Hospital (OUS). He leads research in bioinformatics with a focus on mining and visualizing big data in medical genetics, particularly in viral genomics and non-coding RNA. His work bridges computational biology and clinical virology, with strong international collaborations, especially in China. University of Oslo, Faculty of Medicine, Department of Medical Genetics Oslo University Hospital (OUS) Rayner’s research interests center on bioinformatics, viral evolution, and next-generation sequencing (NGS). He develops algorithms for analyzing whole genome, exome, RNA-seq, and small RNA datasets, with a focus on understanding the role of non-coding RNAs in disease. His work spans rabies, hepatitis B, HIV, Japanese encephalitis, Ebola, and human cytomegalovirus (HCMV), integrating molecular evolution with functional genomics. His recent publications reveal a strong trend in viral phylogenetics, microRNA prediction (e.g., miRPara, BlastGraph), and host-pathogen interactions. He frequently applies systems biology and network pharmacology to understand disease mechanisms and drug responses. His work emphasizes data integration, reproducibility, and open science, including decentralized data sharing platforms. Scientific contributions include the development of tools like BlastGraph and miRPara, and extensive work on rabies phylodynamics, HCMV infection in neural cells, and microRNA regulation in cancer. His research has informed public health strategies in China, particularly in rabies control. Rayner has advised numerous PhD and postdoctoral researchers, especially during his tenure at the Wuhan Institute of Virology and Chinese Agricultural University. His work has been supported by major research grants from Chinese and Norwegian institutions, though specific grant names are not listed. He has co-founded BioAutomation Inc., contributing to RNA/DNA synthesis technology. His research is conducted within the Research Section of the Department of Medical Genetics at OUS, collaborating with virology and genomics teams. He is part of a broader network focused on infectious disease genomics and bioinformatics tool development.
Dr. Saemundur Haraldsson is a Lecturer in Computing Science at the University of Stirling, specializing in AI and intelligent systems applied to healthcare and search-based software engineering. He holds a PhD from the University of Stirling and degrees from the University of Iceland. His research focuses on genetic improvement of software, automatic program repair, and predictive modeling in vocational rehabilitation. Key contributions include pioneering work on genetic improvement frameworks for industry, co-organizing major tutorials on the topic, and co-authoring the first comprehensive survey on genetic improvement. Education: PhD in Computer Science, University of Stirling MSc in Industrial Engineering, University of Iceland BSc in Industrial Engineering, University of Iceland Research interests span AI-driven software optimization, genetic programming applications in real-world systems, and healthcare informatics. His work bridges academia and industry, with notable projects in energy usage optimization and rehabilitation pathway prediction. Articles emphasize practical applications of evolutionary algorithms and program repair techniques, reflecting trends toward developer-centric automated solutions and sustainable computing. Awards: N/A Advising & Grants: Supervised research assistants on projects like the Rehabilitation Pathway Generator (2024) Managed grants supporting personalized ADHD screening systems Labs/Teams: Active contributor to the university's Data Science and Intelligent Systems research group, exploring contextual learning and digital society initiatives.
Simon X. Yang is a Professor and Head of the Advanced Robotics and Intelligent Systems Laboratory at the University of Guelph, School of Engineering. He holds a Ph.D. in Electrical and Computer Engineering from the University of Alberta and is a Fellow of the Canadian Academy of Engineering. His expertise spans robotics, intelligent systems, control systems, sensors, and bio-inspired intelligence. Dr. Yang has authored numerous publications and serves as Editor-in-Chief/Associate Editor for international journals, as well as a grant panel member for NSERC and CIHR. Prof. Yang’s research focuses on real-time sensing, robotic teleoperation, neural networks, fuzzy systems, and applications in agriculture, transportation, and environmental monitoring. He has pioneered bio-inspired algorithms for path planning, multi-robot systems, and industrial automation. His work includes innovations in underwater robotics, drone coordination, and smart agriculture technologies. Dr. Yang teaches graduate-level courses on advanced control systems, soft computing, and robotics, as well as undergraduate courses in neuro-fuzzy systems and engineering design. He actively participates in organizing international conferences and has developed the PIGRGB-Weight dataset for livestock monitoring. Professional Highlights: Editor-in-Chief roles, NSERC grant panel, and leadership in robotics research Labs: Advanced Robotics and Intelligent Systems Lab Awards: Fellow of Canadian Academy of Engineering His lab’s innovations include a biomimetic gecko-inspired robot for microgravity environments and a bionic ray robot with high motion performance. Current projects address challenges in smart farming, infrastructure health monitoring, and autonomous systems safety.
William A. Faubion, Jr., M.D., is a Professor of Pediatrics, Immunology, and Medicine at Mayo Clinic, where he serves as Dean of Research for Mayo Clinic in Arizona (2022–present) and Michael S. and Mary Sue Shannon Family Director of the Center for Regenerative Biotherapeutics (2024–present). He holds primary appointments in the Division of Gastroenterology and Hepatology (Department of Internal Medicine) and joint appointments in Pediatric Gastroenterology and Immunology. His clinical and research work is centered at Mayo Clinic in Phoenix, Arizona. Dr. Faubion earned his M.D. from the University of Texas Health Science Center, completed residency in Internal Medicine/Pediatrics at UT Houston, and pursued fellowship training in gastroenterology at Mayo Clinic and Harvard Medical School. He also conducted research in the Laboratory of Dr. Cox Terhorst at Beth Israel Deaconess Medical Center. His research focuses on the pathophysiology of inflammatory bowel disease (IBD), particularly Crohn’s disease and ulcerative colitis. Key areas include the epigenetics of T-cell fate decisions, T regulatory (Treg) cell biology, cell therapy for IBD, clinical trial design, and systems biology approaches. His lab uses omic technologies, cell lines, animal models, and a large IBD biobank to identify molecular signatures and develop precision therapies. Notably, his work on cell therapy for fistulizing disease has led to clinical breakthroughs. Analysis of his recent publications reveals a strong emphasis on immunology, epigenetics, and translational gastroenterology. Themes include Treg immunotherapy, metabolic reprogramming in T cells, machine learning in infection prediction, and molecular mechanisms of IBD. His work integrates basic science with clinical application, often leading to phase 1 and phase 2 clinical trials. Team Science Award, Mayo Clinic, 2017 Dr. Faubion leads an NIH-funded laboratory and multiple research projects, including grants from the National Institute of Allergy and Infectious Diseases and the National Institute of Diabetes and Digestive and Kidney Diseases. He has mentored numerous trainees through NIH-funded programs such as the P and F Program. His lab, the Immuno-Epigenetics Laboratory, has translated findings into five completed phase 1 trials and is involved in an ongoing phase 2 trial. He also leads a large IBD patient registry to support translational research. His research is supported by key centers including the Center for Regenerative Biotherapeutics, Center for Individualized Medicine, Center for Cell Signaling in Gastroenterology (C-SiG), and the Clinical Immunology and Immunotherapeutics Program. He collaborates extensively across immunology, gastroenterology, and regenerative medicine.
