جستجوی استاد راهنمای دانشگاهی

Joe Paton is a Professor and Principal Investigator at the Champalimaud Neuroscience Programme, Champalimaud Foundation in Lisbon, Portugal. He leads the Paton Lab which focuses on understanding how animals determine which environmental cues are predictive of behaviorally relevant events, known as the credit assignment problem. His research combines behavioral experiments with neurophysiological recordings in rodents to investigate neural mechanisms of time perception and decision making. Dr. Paton's research interests center on interval timing, temporal processing in the brain, and the neural basis of learning. His work particularly examines how the striatum and dopamine systems contribute to time perception and how animals solve the credit assignment problem through statistical inference in the time domain. His lab employs advanced techniques including optogenetics, neural recordings, and computational modeling to address these questions. Analysis of Dr. Paton's recent publications reveals a strong focus on striatal function in timing processes, with particular attention to how neural populations encode temporal information. His work bridges behavioral neuroscience with computational approaches, demonstrating how timing mechanisms influence decision making and learning processes. The research spans multiple levels from cellular mechanisms to behavioral outputs. Midbrain dopamine neurons control judgment of time (2016) Striatal dynamics explain duration judgments (2015) A Scalable Population Code for Time in the Striatum (2015) The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions (2018) Dr. Paton has mentored numerous PhD students and postdoctoral researchers through the INDP (International Neuroscience Doctoral Program) and supervises a diverse team including research technicians, postdocs, and students. His lab has contributed significantly to understanding the neural basis of time perception and its role in learning and decision making. The Paton Lab also develops experimental tools and frameworks like Bonsai for behavioral neuroscience research.

• Neural Mechanisms of Time
• Interval Timing
• Rodent Neurophysiology
• +۵ مورد دیگر

Sam Abbott is an Assistant Professor in Infectious Disease Epidemiology and Dynamics at the London School of Hygiene and Tropical Medicine (LSHTM), where he is based in the Epiforecasts group. He also holds concurrent appointments as a Research Fellow at LSHTM (January 2020-present) and as a Research Associate at SACEMA in South Africa (December 2021-present). Prior to his current academic position, he worked as a Data Scientist at Funding Circle (2017-2019) and completed his PhD at the University of Bristol. His educational background includes: PhD in Epidemiology from the University of Bristol (2015-2019) MSc in Advanced Mathematical Biology from the University of York (2014-2015) MMath in Mathematics from the University of Durham (2010-2014) Abbott's research focuses on developing, evaluating, and applying methods for improving our understanding of infectious disease dynamics in real-time. He is particularly interested in nowcasting right-truncated data, forecasting variant dynamics, reconstructing unobserved infections from various data sources, and estimating key epidemiological parameters such as the effective reproduction number, growth rate, and generation interval distribution. He is committed to open and collaborative science, with much of his recent work focused on the COVID-19 response, though his underlying focus is pathogen-agnostic sparse data settings. Analysis of his recent publications reveals a strong emphasis on methodological development for real-time infectious disease surveillance and forecasting. His work frequently addresses challenges in nowcasting, forecasting accuracy, model evaluation, and integration of diverse data sources for improved epidemic understanding, with significant contributions to understanding variant dynamics (Delta, Omicron), the impact of public health measures, and collaborative forecasting approaches. Abbott received the Directors Early Career Researcher Award in 2020 and has secured grant funding including 'Surge-capacity public health modelling support for COVID-19 Omicron wave and post-wave' from Stellenbosch University (May-October 2022). As an educator, Abbott teaches on the modern methods for infectious disease modelling short course, particularly leading the best practices session. He is active in the epinowcast community, developing open-source tools and methods for current surveillance of infectious diseases and preparing for future outbreaks. His technical expertise includes R, Julia, and Stan programming languages.

• Infectious Disease Epidemiology
• Real-time Analysis
• Forecasting
• +۵ مورد دیگر

José Joaquim Dias Curto is a Full Professor at ISCTE - Lisbon University Institute (ISCTE-IUL Business School) in the Department of Quantitative Methods for Management and Economics. He serves as an Integrated Researcher at BRU-Iscte - Business Research Unit and coordinates the Data Analytics Group. His academic leadership includes roles as Director of the Master's in Management program (2010-2017) and current membership on the Scientific Committee (2022-2026). His educational background includes a PhD in Management (2003), Master's in Business Sciences (1992), and Bachelor's in Economics (1988), all from ISCTE-IUL or predecessor institutions. His research focuses on econometrics and statistics with applications in finance, accounting, and economics, emphasizing volatility modeling, financial ratios, and pandemic-related market impacts. His publication record shows strong trends in financial econometrics, particularly in volatility analysis (using GARCH/APARCH models), financial market anomalies (including Halloween effect and herd behavior), and crisis-related impacts (notably COVID-19). His work frequently bridges theoretical statistical methods with practical financial applications, appearing in Q1 journals like Journal of Business Ethics, Nonlinear Dynamics, and Finance Research Letters. Professor Curto has held significant academic management positions including multiple terms as Director of the Master's in Management program (2010-2017) and current Scientific Committee membership (2022-2026). His professional activities extend to executive training programs in Data Science and Audit Analytics (2020) and preparation of national certification exams. He coordinates the Data Analytics Group within BRU-Iscte, focusing on quantitative methods application in business contexts. His research integrates statistical modeling with real-world financial and economic challenges, maintaining strong connections between theoretical econometrics and practical business analytics.

• Econometrics
• Statistics
• Quantitative Methods for Management
• +۳ مورد دیگر

Patrick Thomas Brady Caldera is an active academic at Universidad de Extremadura, serving as a Substitute Lecturer in Didáctica de la Expresión Musical since October 2021. He previously held the same position from February to September 2021. Caldera is concurrently completing his PhD in the Faculty of Education at the same institution. Educational background includes: PhD Candidate in Education, Universidad de Extremadura (2019-present) Master's in Secondary School Teaching, Universidad de Extremadura (2017-2018) Bachelor's in Violin Performance, Conservatorio Superior de Música 'Rafael Orozco' (2010-2015) His research examines violin pedagogy through the lens of music cognition and acoustics, with specific focus on: Impact of equal temperament in music education Interval perception and tuning practices Pedagogical applications of tuning technology Violin instruction methodologies Recent publications demonstrate consistent focus on how tuning systems and interval perception affect violin pedagogy, with investigations spanning acoustic measurement, cognitive perception, and educational outcomes. No information is available regarding research laboratories, student supervision, or scientific awards at this time.

• Music Education
• Violin Pedagogy
• Musical Acoustics
• +۲ مورد دیگر

Marco Vasconcelos is an active researcher at the University of Aveiro, Portugal, where he serves as an Integrated Member of the Cognition Team. With a PhD from the University of Aveiro, he has established himself as a prominent figure in animal cognition and decision-making research, with 95 publications, 9,723 reads, and 1,322 citations to his name. His research spans multiple institutions and collaborations across Europe, particularly with colleagues at the University of Aveiro and international collaborators including Armando Machado, Tiago Monteiro, and Alex Kacelnik. Vasconcelos's primary research focus centers on decision making and rationality, integrating concepts and techniques from operant and developmental psychology, comparative cognition research, optimal foraging theory, and microeconomics. His work examines how animals, particularly pigeons and starlings, make choices between alternatives, modeling how these options are valued and how valuation drives decisions. He employs optimality and learning theory to address valuation, using empirically supported algorithms to translate valuation into choice. His research often involves developing mathematical models of causative processes and testing them through controlled experiments, with particular emphasis on timing mechanisms, suboptimal choice phenomena, and information processing in animal decision making. Analysis of Vasconcelos's recent publications reveals a strong focus on temporal cognition and decision processes in animals. His work consistently explores how timing mechanisms interact with reinforcement structures to shape behavior, with particular attention to midsession reversal tasks, suboptimal choice phenomena, and numerical discrimination. The research demonstrates sophisticated integration of theoretical models from economics with empirical behavioral data, creating a bridge between normative decision theory and descriptive behavioral observations. His 2022-2025 publications show increasing methodological sophistication with variable trial spacings, differential reinforcement probabilities, and advanced modeling approaches. Vasconcelos maintains active collaborations with researchers across multiple institutions, particularly with Armando Machado at the University of Aveiro and Alex Kacelnik at the University of Oxford. His research has been supported through various grants that enable extensive behavioral experimentation with animal subjects. While specific grant details aren't provided in the available text, his consistent publication output across numerous high-impact journals indicates sustained research funding. As part of the Cognition Team at the University of Aveiro, Vasconcelos contributes to a vibrant research environment focused on animal learning and behavior. His work with the team has produced significant insights into how animals process temporal information, make decisions under uncertainty, and develop cognitive representations of numerical quantities. The research group employs sophisticated behavioral paradigms to investigate fundamental questions about the nature of decision processes and cognitive mechanisms in non-human animals.

• Decision Making
• Animal Cognition
• Comparative Psychology
• +۵ مورد دیگر