Abbas K. Rizi
Postdoc, 321-205
My day job is all about crunching data, building mathematical models, and figuring out what might happen next in a population regarding spreading patterns, diffusion processes, and epidemic outcomes.
Alejandro Valverde Mahou
PhD student, 321-223
I am interested in using physical informed machine learning to locate radiation interactions within detectors in real time
Alexander Neergaard Zahid
Postdoc, 321-106
I am a biomedical engineer with special interests in signal processing and machine learning applications in computational sleep science.
Anders Christensen
PhD student, 321-xxx
I do research focused mostly on generative models and properties of neural networks that make them somewhat more interpretable.
Anders Gjølbye Madsen
PhD student, 321-228
I am interested in developing more trustworthy deep learning models using causality, especially within healthcare.
Anders S Olsen
PhD student, 321-106
I investigate unsupervised models for dynamic functional human brain connectivity using methods from directional statistics and EEG/MEG/fMRI data.
Anshuk Uppal
PhD Student, 321-223
I work with deep probabilistic models, focusing on variational inference and generative modelling. I enjoy dabbling in uncertainty quantification and scientific applications of deep Bayesian models.
Antonela Thoma
Project Controller, 266-237
I’m a Project Controller, which means I provide consultation and support to project leaders with budgets, financial reporting, invoices regarding grants etc.
Ashkan Tashk
Postdoc, 321-128
I explore cutting-edge applications of AI and ML, pushing the boundaries of their real-world impact across diverse domains including Interactive Eye Tracking, biomedical signal and image processing and so on.
Beatrix M. G. Nielsen
PhD student, 321-215
I work with machine learning from several different angles. I am especially interested in how models work.
Bjørn Sand Jensen
Associate Professor, 321-226
I work on developing and applying reliable probabilistic and Bayesian machine learning methods in domains such as audio, computational biology, and chemistry.
Camilla Narine
Administrative coordinator, 324-140
I help with things like settling expenses in Fusion, Managing time cards, onboarding, HR cases, keys and access cards and many other miscellaneous requests.
Ch Muhammad Aqdus Ilyas
Postdoc, 321-134
I work at the intersection of Cognitive Neuroscience and Machine Learning involving Human-Computer Interaction, Eye-Tracking, User Experience and Generative AI.
Chaohong Gao
PhD student, 321-128
I am interested in developing personalized brain modeling techniques based on machine learning and MRI for neuroscience research and precision medicine applications.
Emilie Wedenborg
PhD student, 321-215
I develop highly interpretable and scaleable matrix decomposition methods for health data. I am interested in developing principled approaches to quantify model generalization.
Fabian M. Mager
PhD student, 321-124
I am interested in representation learning and investigate self-supervised models for neuroimaging data such as EEG and structural MRI.
Finn Årup Nielsen
Associate Professor, 321-218
I am an engineer working with data science and particularly interested in how we can automatically process and represent data.
Georgios (Yorgos) Pantis
Research Assistant, 321-220
I specialize in deep learning theory, with a focus on the generalization properties of overparameterized models, using optimization techniques and Riemannian geometry.
Georgios Arvanitidis
Associate Professor, 321-224
I am interested in understanding the behavior of modern machine learning models, generative modeling, and representation learning.
Hiba Nassar
Assistant Professor, 321-210
I am a mathematician specializing in functional data analysis, with a keen interest in the mathematical foundations of machine learning and artificial intelligence.
Ivana Konvalinka
Associate Professor, 321-107
I am a social neuroscientist, investigating behavioural and neural mechanisms underlying real-time social coordination in dyads and social networks.
Jakob Eg Larsen
Associate Professor, 321-109
I am interested in human-computer interaction and personal informatics, with a focus on methods and instruments to quantify human behavior and experience.
Jes Frellsen
Associate Professor, 321-221
I work on deep generative models and uncertainty quantifications, partially learning from data with missing values and applications in molecular biology, magnetics and recommender systems.
Jesper Løve Hinrich
Postdoc, 321-129
Research at the intersection of ML and the Life Sciences, in particular interpretable low-rank models to uncover the physiochemical signals in foods, blood, urin, etc.
Kathrine Schultz-Nielsen
PhD student, 321-128
My research explores how hearing loss can act as a social barrier by studying neural and behavioral engagement in listening and conversational scenarios.
Kristoffer Stensbo-Smidt
Postdoc, 321-223
I am interested in doing Bayesian inference, especially when it doesn’t work, and in understanding why models behave the way they do. I used to think a lot about the universe.
Lars Kai Hansen
Professor, Head of section, 321-212
Chair of the Danish Data Science Academy, Co-lead and DTU coordinator for the Pioneer Centre for AI. Research interest: Explainable AI.
Laura Alessandretti
Associate Professor, 321-110
I study aspects of human behaviour - from social interactions to smartphone usage and mobility behaviour - using large-scale data.
Laurits Fredsgaard Larsen
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PhD student, 321-112
Lenka Tětková
PhD student, 321-215
I am interested in explaining machine learning models, exploring machine representations, and providing extra knowledge to the algorithms.
Martín Antúnez
Postdoc, 321-129
Cognitive neuroscientist focused on developing a national neurophysiological database, with a strong interest in applying machine learning to advance mental health diagnostics.
Mikkel N. Schmidt
Associate Professor, 321-116
My research focuses on developing new statistical and probabilistic techniques, to analyze and interpret data with inherent uncertainty in scientific and industrial applications.
Morten Mørup
Professor, 321-118
I research methods for machine learning, including tensor networks, graph representation learning, and probabilistic modeling approaches with applications to life-science data.
Nicki Skafte Detlefsen
Postdoc, 321-206
I work on making machine learning systems more efficient, maintainable and scalable.
Per Bækgaard
Associate Professor, 321-132
I look at how digital systems can benefit us doing the things we care about. This involves Human-Computer Interaction, User Experience, Human-Centered AI, Eye Tracking and Cognitive Neuroscience.
Petr Taborsky
Postdoc, 321
I study (deep) learning constructs, such as learned representations or generalization, to make neural networks more efficient and platform-independent (e.g., digital, neuromorphic).
Qianliang Li
Postdoc, 321-123
I am interested in unravelling the brain mechanisms underlying human behavior, through behavioral experiments, social networks and multi-person neuroimaging.
Silvia De Sojo
PhD Student, 321-117
I use large-scale datasets to investigate behavioural inequalities across genders and diverse groups. I’m especially interested in understanding the factors driving gender differences in human mobility.
Sune Lehmann
Professor, 321-126
I am a physicist by training and now I study human behavior based on analyzing the traces we leave behind when we use our phones or the internet.
Susanne Vinther
Project coordinator, 321-219
I support section manager and project leaders by coordinating funding applications and projects and facilitating effective communications with internal and external partners.
Søren Føns Nielsen
Postdoc, 321-124
I work on machine learning and signal processing for optical communication systems.
Søren Hauberg
Professor, 321-209
I work on methods development in machine learning with a particular interest in probabilistic and Bayesian models. My work often has a geometric flair.
Søren Vejlgaard Holm
Research Assistant, 321-133
I evaluate Large Language Models in Danish.
Teresa Dorszewski
PhD student, 321-215
I work on explainability for time-series data and am particulary intrested in understanding latent representations.
Thea Brüsch
PhD student, 321-215
I work with deep learning for biomedical time series data. I am especially interested in explainability and learning good representations using self-supervised methods.
Tommy Sonne Alstrøm
Associate Professor, 321-207
Interested in machine learning for signal processing, working primarily with sensor data such as time-series (EEG etc) and spectroscopy (Raman ect)
Xueda Dong
PhD student, 321-128
My research focuses on visual perception, particularly ensemble perception. I use fMRI and sEEG to explore the neural mechanisms underlying this process.
Yaping Wang
PhD student, 321-134
My research interests are in imaging genetics and psychiatric disorders. I am passionate about applying multidisciplinary approaches to understand the brain and disease mechanisms.
Yuan Liao
Visiting postdoc, 321-133
I use large-scale human mobility data to facilitate socially and environmentally sustainable mobility. My research interests include urban science, social segregation, and sustainable transport.