Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Angela Ingrid RentonExpertise
Visual perceptionAttentionPredictionDecision-makingM/EEGClosed-loop neuroimagingOpen & reproducible science
Mission
Angela Renton completed her PhD in 2022 at under the supervision of Prof. Jason Mattingley, at The University of Queensland, Australia. Her PhD investigated the development of novel neurofeedback and closed-loop research methods to causally investigate the neural mechanisms of visual perception. As a postdoctoral research fellow, she has expanded on this work, working on real-time ne
Valerio ZerbiDr. Valerio Zerbi is a pioneer of preclinical magnetic resonance functional neuroimaging. At his lab at EPFL, Valerio and his team use functional MRI recordings in rodents in combination with neural modulation and computational approaches to study the mechanisms that link cellular activity to large-scale network (dys)function. His long-term ambition is to advance the development of personalised strategies based on imaging and artificial intelligence, for the diagnosis and prognosis of developmental brain disorders. Valerio is the recipient of the ETH Postdoctoral (2014), the Swiss National Science Foundation AMBIZIONE
(2017) and ECCELLENZA (2021) fellowships.
Han SunExpertise
Deep Learning, Computer Vision, Domain Adaptation, Generative Modeling
Open Projects:
Test-Time Domain Adaptation for Anomaly Detection: SiROP link for detailed information
Han obtained her master's degree in Geomatic from the Federal Institute of Technology in Zürich (ETHZ). Before joining IMOS Lab - EPFL, she focused on computer vision with a particular interest in domain adaptation & style adaptation. During her Ph.D. study, she will explore more in the field of domain adaptation with its appli
Olga FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
Alexander DittrichCurrent Work
My research interests are somewhere between neural networks with Hebbian plasticity, meta-reinforcement learning, and the control of rather unconventional soft robotic platforms like tensegrity robots.
Mykhailo BatiukExpertise
Single cell and spatial genomics (wet/dry lab), glia, psychiatry, neuroscience
I obtained my PhD (2012-2018) in KU Leuven/VIB, Belgium where I investigated astrocyte heterogeneity using single cell transcriptomics. During this period I developed tools to acutely and specifically isolate astrocytes from adult brain and identified five astrocyte subtypes in the cortex and hippocampus of mouse brain expanding previous understanding of astrocyte variability.Following my PhD, I did my first post-doc in
Mohammad Ali ShaeriExpertise
Neural Engineering, Neural Signal Processing, Neural Decoding, Neural Prosthesis, Brain Machine Interface
Marcello IencaDr. Marcello Ienca is a Principal Investigator at the College of Humanities at EPFL where he leads the ERA-NET funded Intelligent Systems Ethics research unit. He is also an affiliate member of the Health Ethics and Policy unit, Department of Health Sciences and Technology, and an ordinary member of the
Competence for Rehabilitation Engineering & Science
at ETH Zurich, Switzerland.
Dr. Ienca's scholarship focuses on the ethical, legal, social and policy implications of emerging technologies. In particular, he investigates the broader implications of new (and often converging) sociotechnical trends such as Artificial Intelligence (AI), big data, digital epidemiology, robotics, assisted living, digital health, social media, dual use, and neurotechnology. He and his team use both theoretical and empirical methods to explore the requirements for responsible innovation, ethically-aligned technology design, user-centred design, and human-centered technology assessment.
Dr. Ienca is actively involved in science and technology policy within international organizations and professional societies. In particular, he is an appointed member of the Organisation for Economic Co-operation and Development’s (OECD) Steering Committee on Neurotechnology and the representative of the Swiss Delegation (appointed by the Swiss State Secretariat for Education, Research and Innovation, SERI). He has also been invited to serve as an expert advisor to the Council of Europe’s Ad Hoc Committee on Artificial Intelligence and the Bioethics Committee. Dr. Ienca has written reports for the OECD, the Council of Europe, and the European Parliament's Panel for the Future of Science and Technology. He is a Member of the Board of Directors of the Italian Neuroethics Society (SINe), a former Board Member and current member of the Nominating Committee of the International Neuroethics Society (INS). Ienca is a member of the Editorial Board of several academic journals such as Neuroethics, Bioethica Forum, Frontiers in Neuroergonomics and Frontiers in Genetics.
Ienca has received several awards for social responsibility in science and technology such as the Vontobel Award for Ageing Research (Switzerland), the Prize Pato de Carvalho (Portugal), the Sonia Lupien Award (Canada), the Paul Schotsmans Prize from the European Association of Centres of Medical Ethics (EACME) and the Data Privacy Plaque of Honour, awarded by the Italian Data Protection Authority. He has authored one monograph, several edited volumes, 60 scientific articles in peer-review journals, several book chapters and is a frequent contributor to Scientific American. His research was featured in academic journals such as
Neuron
,
Nature Biotechnology
,
Nature Machine Intelligence
,
Nature Medicine
and media outlets such as
Nature
,
The New Yorker
,
The Guardian
,
The Times
,
Die Welt
,
The Independent
, the
Financial Times
and others.
Furthermore, Dr. Ienca strongly supports open science, outreach and public engagement. He is committed to a holistic view of research that is not restricted to academia alone but involves an open approach to science communication, outreach and public engagement. Among other things, he is an open-science and open-data enthusiast and a human rights activist. He believes that there can be no ethical technological innovation without global justice.
Georg Michael Joachim StarkeDr. Georg Starke is a postdoctoral researcher at the College of Humanities at EPFL, working in the
Intelligent Systems Ethics Group
. As member of the
Hybrid Minds
project, Georg’s research examines the ethics of using artificial intelligence in medicine, with particular regard to neurological and psychiatric applications. Beyond AI ethics, Georg is also interested in history and philosophy of science, philosophy of psychiatry, medical ethics, and questions at the intersection of philosophy of mind and comparative psychology.
Georg has been trained in medicine and in philosophy, concluding both studies with a respective doctoral degree. He studied medicine at the Technical University of Munich and was visiting student at the University of Buenos Aires, the Hebrew University Jerusalem, and the University of Oxford. His medical doctoral thesis investigated subcortical correlates of social fear, using model-based fMRI. In parallel to his medical studies, Georg obtained a BA in philosophy from the Munich School of Philosophy and an MPhil in History, Philosophy and Sociology of Science, Technology and Medicine from the University of Cambridge. His PhD in bioethics at the University of Basel, defended in 2022, shed light on the notion of trust in medical AI and scrutinized the trustworthiness of clinical AI appliances with particular view to fairness and explainability.
Jiancheng YangI am a 4th-year PhD student in the Department of Electronic Engineering, Shanghai Jiao Tong University, advised by Prof. Bingbing Ni. I received BEng and MEng degree in the Department of Automation from the same university. Enrolled in a double master degree program, I spent 2 years in France with an Engineer degree. I was a visiting research fellow in Visual Computing Group at Harvard University. I am now visiting EPFL CVLAB, working with Prof. Pascal Fua.I focus on medical image analysis, 3D computer vision and trustworthy machine learning, with a clinical emphasis on lung cancer and thoracic diseases. I have (co-)first-authored more than 10 papers on top-tier journals / conferences, e.g., Cancer Research, CVPR, MICCAI and NeurIPS. I was a reviewer for more than 10 prestigious venues, a top-ranking participant for several AI competitions, and the lead organizer for MICCAI 2020 RibFrac Challenge.Updated on April, 2021.
