You can find an full CV here (November2022)

Education

  • Ph.D. in Neuromorphic Engineering, Jülich, Germany
    • Thesis: sequence learning in networks of spiking neurons
    • Supervisors: Dr. Tom Tetzlaff & Dr. Dirk J. Wouters
  • M.S. in Micro & Nanotechnologies for integrated systems, Phelma INPG, France
    • Joint degree between EPFL, Switzerland; Phelma INPG, France; and Politecnico di Torino, Italy
    • Thesis: differentiable working memory
    • Supervisors: Dr. Jayram Thathachar & Dr. Liliana Buda-Prejbeanu
  • B.S. in Physics and Electronics, Phelma INPG, France

Work

  • Doctoral Researcher, Jülich, research center
    • Developed a model for sequence learning, prediction, and generation in networks of spiking neurons
    • Studied probabilistic sequence processing in networks of spiking neurons
    • Studied the functional aspects of memristive devices in neuromorphic computing
  • Research intern, IBM Almaden Research Center
    • Developed and implemented a memory-augmented neural network model inspired by the human working memory https://arxiv.org/pdf/1809.11087.pdf
    • Implemented psychometric tests designed for human working memory and applied to our artificial model, which showed superior perfor- mance compared to the state-of-the-art (i.e. LSTM, Differentiable Neural Computer)
    • Implemented machine learning models for visual question answering (VQA)
    • Designed and implemented a machine learning framework: https://github.com/IBM/mi-prometheus
  • Research intern, IBM T. J. Watson Research Center
    • Developed a custom software for operating a novel optical sensor, processing the data and applying fitting routines for noise removal.