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Merge pull request #289 from neural-loop/social-research
feat: contributors: Add social links (LinkedIn, Scholar)
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‎content/contributors/aaron-spieler/index.md

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title: "Aaron Spieler"
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description: "Computational neuroscientist passionate about deep learning, neuroscience, and phenomenological neuron modeling with applications to long-range prediction tasks."
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image: "aaron-spieler.jpeg"
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social: []
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social:
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- icon: "fa-brands fa-linkedin"
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link: "https://www.linkedin.com/in/aaron-spieler-9955a217a/"
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title: "linkedin"
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- icon: "fa-brands fa-github"
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link: "https://github.com/AaronSpieler"
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title: "github"
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- icon: "fa-solid fa-graduation-cap"
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link: "https://scholar.google.com/citations?user=l4TbEZ0AAAAJ&hl=en"
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title: "scholar"
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Aaron Spieler is a computational neuroscientist passionate about exploring the intersection of deep learning and neuroscience. After earning his Bachelor's in Computer Science from the University of Potsdam, he undertook an extended internship at Amazon Web Services working in deep learning based forecasting, before further specializing with a Master's in Computational Neuroscience at the University of Tübingen. Throughout his Master's thesis and a subsequent internship at the Max Planck Institute for Intelligent Systems, Aaron focused on phenomenological neuron modeling with applications to long-range prediction tasks. Pursuing this work allowed him to collaborate with excellent researchers from diverse backgrounds, including Prof. Bernhard Schölkopf and Prof. Anna Levina.

‎content/contributors/alexander-hadjiivanov/index.md

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title: "Alexander Hadjiivanov"
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description: "ESA Research Fellow focusing on homeostasis, perception, and structural plasticity in neural networks. Developer of Pyrception for interfacing input data with NNs."
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image: "alexander-hadjiivanov.webp"
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social:
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- icon: "fa-brands fa-linkedin"
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link: "https://www.linkedin.com/in/alexander-hadjiivanov/"
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title: "linkedin"
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- icon: "fa-brands fa-github"
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link: "https://github.com/cantordust"
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title: "github"
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- icon: "fa-solid fa-graduation-cap"
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link: "https://scholar.google.com/citations?user=UX6C6PAAAAAJ&hl=en"
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title: "scholar"
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Alex is currently a Research Fellow with the Advanced Concepts Team at the European Space Agency. His research focuses on homeostasis, perception and structural plasticity in classical and spiking neural networks. When he has time, he also works on <a href="https://gitlab.com/EuropeanSpaceAgency/pyrception">Pyrception, an easy way to interface various types of input data with neural networks</a>.

‎content/contributors/alexander-henkes/index.md

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title: "Alexander Henkes"
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description: "Mechanical engineer and PhD in continuum micromechanics, researching SNNs for applied math and computational engineering. Contributor to snnTorch."
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image: "alexander-henkes.jpg"
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social:
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- icon: "fa-brands fa-linkedin"
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link: "https://www.linkedin.com/in/dr-alexander-henkes/"
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title: "linkedin"
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- icon: "fa-brands fa-github"
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link: "https://github.com/ahenkes1"
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title: "github"
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link: "https://scholar.google.com/citations?user=yb2XIzYAAAAJ&hl=de"
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title: "scholar"
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Alexander Henkes received the B.Sc. (Mechanical Engineering) and M.Sc. (Mechanical Engineering) degrees from the University of Paderborn, Germany, in 2015 and 2018, respectively. In 2022, he received his Ph.D. with honors from the Technical University of Braunschweig (TUBS), Germany, for his thesis ''Artificial Neural Networks in Continuum Micromechanics''.

‎content/contributors/alexandre-marcireau/index.md

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link: "https://github.com/aMarcireau"
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title: "github"
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link: "https://scholar.google.com/citations?user=43KBWgoAAAAJ&hl=en"
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title: "scholar"
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image: alexandre-marciraeu.png
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‎content/contributors/andreas-wild/index.md

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title: "Andreas Wild"
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description: "Senior Researcher at Intel Neuromorphic Computing Lab, leading algorithm research. PhD in physics with focus on silicon-based electron spin qubits."
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social:
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link: "https://www.linkedin.com/in/andreaswild/"
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title: "linkedin"
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- icon: "fa-solid fa-graduation-cap"
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link: "https://scholar.google.com/citations?user=E-NlVS4AAAAJ&hl=en"
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title: "scholar"
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Andreas Wild received the Dr. rer. nat degree in physics with a focus on the development of silicon-based electron spin qubits from the Technical University of Munich, Germany, in 2013. After joining Intel in 2013, he has been a Senior Researcher with the Intel Neuromorphic Computing Lab since 2015 where he leads algorithm research.
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Andreas Wild received the Dr. rer. nat degree in physics with a focus on the development of silicon-based electron spin qubits from the Technical University of Munich, Germany, in 2013. After joining Intel in 2013, he has been a Senior Researcher with the Intel Neuromorphic Computing Lab since 2015 where he leads algorithm research.

‎content/contributors/bernhard-vogginger/index.md

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title: "Bernhard Vogginger"
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description: "Research associate at TU Dresden, leading SpiNNaker2 software development and co-author of NIR. Interested in radar processing and AI sustainability."
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image: "" # To be replaced with "bernhard-vogginger.jpg" or similar
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social:
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link: "https://www.linkedin.com/in/bernhard-vogginger-967876241/"
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title: "linkedin"
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link: "https://github.com/bvogginger"
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title: "github"
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link: "https://scholar.google.com/citations?user=jkfLkBwAAAAJ&hl=de"
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title: "scholar"
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Bernhard Vogginger is a research associate at TU Dresden working on neuromorphic computing software and applications in the lab of Prof. Christian Mayr. He currently leads the software development for the [SpiNNaker2](/neuromorphic-computing/hardware/spinnaker-2-university-of-dresden/) neuromorphic system and has co-authored the [Neuromorphic Intermediate Representation (NIR)](/workshops/neuromorphic-intermediate-representation/). Further research interests include radar processing and sustainability of AI and data centers.

‎content/contributors/brad-aimone/index.md

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title: "Brad Aimone"
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description: "Distinguished Technical Staff at Sandia Labs, leveraging computational neuroscience for AI and neuromorphic computing. Leads COINFLIPS project."
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image: "brad-aimone.jpeg"
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link: "https://www.linkedin.com/in/brad-aimone-248661/"
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title: "linkedin"
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link: "https://scholar.google.com/citations?user=fIhoSlAAAAAJ&hl=en"
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title: "scholar"
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Brad Aimone is a Distinguished Member of Technical Staff in the Center for Computing Research at Sandia National Laboratories, where he is a lead researcher in leveraging computational neuroscience to advance artificial intelligence and in using neuromorphic computing platforms for future scientific computing applications. Brad currently leads a multi-institution DOE Office of Science Microelectronics Co-Design project titled COINFLIPS (which stands for CO-designed Influenced Neural Foundations Inspired by Physical Stochasticity) which is focused on developing a novel probabilistic neuromorphic computing platform. He also currently leads several other research efforts on designing neural algorithms for scientific computing applications and neuromorphic machine learning implementations.

‎content/contributors/cameron-barker/index.md

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link: "https://github.com/cameron-git"
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title: "github"
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Cameron Barker is a Neuromorphic Engineer at Ripga ltd.
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‎content/contributors/carlos-ortega-otero/index.md

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title: "Carlos Ortega-Otero"
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description: "Sr. Research Staff Member at IBM, specializing in Circuit Design, Neuromorphic Chip Architectures, and Low-Power Circuits. Key member of NorthPole Project."
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image: "carlos-ortega-otero.webp"
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link: "https://www.linkedin.com/in/carlos-vls"
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title: "linkedin"
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link: "https://scholar.google.co.in/citations?user=J_I1-ZoAAAAJ&hl=ja"
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Dr. Carlos Ortega-Otero is an Sr. Research Staff Member at IBM driven by a passion in Circuit Design, Neuromorphic Chip Architectures, Low-Power Circuits and Physical Design optimizations. He earned his Ph.D. from Cornell University under the guidance of Prof. Rajit Manohar.

‎content/contributors/catherine-schuman/index.md

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title: "Catherine Schuman"
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description: "Assistant Professor at U. Tennessee, expert in evolutionary algorithms for SNNs and neuromorphic systems. Co-leads TENNLab. DOE Early Career Award recipient."
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image: "catherine-schuman.jpg"
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link: "https://www.linkedin.com/in/catherine-schuman/"
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title: "linkedin"
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link: "https://scholar.google.com/citations?user=KW4SKYYAAAAJ&hl=en"
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title: "scholar"
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Catherine (Katie) Schuman is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee (UT). She received her Ph.D. in Computer Science from UT in 2015, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. Katie previously served as a research scientist at Oak Ridge National Laboratory, where her research focused on algorithms and applications of neuromorphic systems.

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