Dr. Gabriela Figueroa Miranda
Postdoc in the group Molecular Bioelectronics,
Institute of Biological Information Processing – Bioelectronics (IBI-3)
Prof. Dr. Sarah Genon
Leader of the working group Cognitive NeuroInformatics
Institute of Neuroscience and Medicine – Brain and Behaviour (INM-7)
Dr. Johannes Laube
Group leader with a European Research Council (ERC) Starting Grant,
Institute of Energy and Climate Research – Stratosphere (IEK-7)
Dr. Kaustubh R. Patil
Leader of the working group Applied Machine Learning
Institute of Neuroscience and Medicine – Brain and Behaviour (INM-7)
Dr. Viviana Rincón Montes
Postdoc in the group Neuroelectronic Interfaces,
Institute of Biological Information Processing – Bioelectronics (IBI-3)
Dr. Scarlet Stadtler
Principal investigator, Strategy for Earth system data (KI:STE) project
Postdoc, Institute for Advanced Simulation (IAS), Jülich Supercomputing Centre (JSC)
Team leader Machine Learning for Air Quality (MLAirQ)
Postdoc in the group Molecular Bioelectronics,
Institute of Biological Information Processing – Bioelectronics (IBI-3)
Gabriela Figueroa Miranda, originally from Mexico, studied biochemical engineering at the Tecnológico de Estudios Superiores de Ecatepec (TESE) in Mexico. She completed her first MSc. in biomedical research at the University of Santiago de Compostela (USC) in Spain and a second MSc. in biomedical engineering at FH Aachen University of Applied Sciences in Germany. Recently, she graduated from her doctoral studies at RWTH Aachen University with a thesis entitled “Development of electrochemical aptasensors for the highly sensitive, selective, and discriminatory detection of malaria biomarkers”. Her research interest and expertise is focused on the fabrication of electrochemical biosensors, implementing aptamers as biorecognition molecules for detection of different diseases. She has experience in electrochemistry, surface chemistry, biosensors, and biochemistry.
Leader of the working group Cognitive NeuroInformatics
Institute of Neuroscience and Medicine – Brain and Behaviour (INM-7)
Sarah Genon, originally from Belgium, completed her bachelor’s degree in educational and psychological sciences at the Université Libre de Bruxelles, followed a master’s and PhD degree in psychology at the Université de Liège. She specialized in clinical neuropsychology and cognitive neuroscience. In particular, during her PhD she used neuroimaging techniques to study brain dysfunction in patients with Alzheimer’s disease, work for which she received the Santkin award from the Académie Royale de Médecine de Belgique. She has been recently appointed a Heisenberg Professor at the Heinrich-Heine Universität Düsseldorf by the Deutsche Forschungsgemeinschaft and she currently heads the working group Cognitive NeuroInformatics at Jülich. Her research focuses on understanding brain organization in humans and how this relates to behaviour by using large datasets of neuroimaging and psychometric data of different populations.
Group leader with a European Research Council (ERC) Starting Grant,
Institute of Energy and Climate Research – Stratosphere (IEK-7)
Johannes Laube obtained his diploma in chemistry from the University of Jena and a PhD in chemistry from the Goethe-University of Frankfurt/Main. For his PhD thesis, he was awarded the Procter & Gamble Sustainability Price. He then joined the University of East Anglia (UK) as an independent researcher, having received a NERC Postdoctoral Research Fellowship, which was immediately followed by a NERC Advanced Research Fellowship. More recently, he was awarded a prestigious Starting Grant by the European Research Council and joined Forschungszentrum Jülich. He has served as author and reviewer on five international assessments (for UNEP, WMO, IPCC). His research focuses on measurements of the large variety of halogenated and related trace gases in the atmosphere, especially those relevant for stratospheric ozone depletion and global warming.
Leader of the working group Applied Machine Learning
Institute of Neuroscience and Medicine – Brain and Behaviour (INM-7)
Kaustubh Raosaheb Patil, originally from India, studied electronics engineering at Shivaji University in India followed by a master’s degree in artificial intelligence at the University of Porto in Portugal, and a PhD in bioinformatics at Saarland University and the Max-Planck Institute for Computer Science in Germany. He develops advanced data analysis and machine learning methods to gain systems level understanding of the human brain organization and for building individual-level predictive models with clinical applications for neurodegenerative and psychiatric disorders.
Postdoc in the group Neuroelectronic Interfaces,
Institute of Biological Information Processing – Bioelectronics (IBI-3)
Viviana Rincón Montes, originally from Colombia, studied electronic and computer engineering at the Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM) in Mexico during her bachelor studies. She went on to complete a MSc. in biomedical engineering at RWTH Aachen University in Germany, followed by doctoral studies there. She obtained a Summa Cum Laude recognition after defending her thesis entitled “Development, characterization, and application of intraretinal implants”. Her research expertise and interest focus on the development of bioelectronic interfaces, such as neural implants and biosensors. She has experience in micro-fabrication technology, electrophysiology, electrochemistry, instrumentation of bio-signals, signal processing, and electronics.
Principal investigator, Strategy for Earth system data (KI:STE) project
Postdoc, Institute for Advanced Simulation (IAS), Jülich Supercomputing Centre (JSC)
Team leader Machine Learning for Air Quality (MLAirQ)
Scarlet Stadtler, completed her bachelor of science in meteorology as well as her master of science in physics of Earth and atmosphere at Rheinische Friedrich-Wilhelm University in Bonn. She worked as a doctoral researcher at Forschungszentrum Jülich and completed her PhD degree at Rheinische Friedrich-Wilhelm University in Bonn. Following this, she worked in Japan having received a DAAD stipend, which included an industrial internship at Fujitsu Laboratories. After her return from Japan, she has worked as a postdoc at Forschungszentrum Jülich and is currently principal investigator in the project KI:STE (Artificial Intelligence for Earth system data).