Dr. Marta Campi, Statistical Methods, Best Researcher Award
Doctareat at Institut Pasteur, France
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Summary:
Dr. Marta Campi is a Postdoctoral Researcher at Institut Pasteur with expertise in Statistical Signal Processing and Machine Learning. She specializes in developing computational optimal speech enhancement techniques for real-time application in hearing aids, particularly tailored for individuals with auditory neuropathies. Her research integrates personalized cues into model calibration for improved efficacy. With a background in financial computing and econometrics, Marta brings a diverse skill set to her research endeavors.
Education:
- PhD in Statistical Science and Signal Processing, University College London, UK
- MPhil in Statistics, University College London, UK
- MRes in Financial Computing, University College London, UK
- MSc in Financial Econometrics, University of Essex, UK
- BSc in Mathematical Statistics and Data Management, Universita degli studi di Genova, Italy
Professional Experience:
Dr. Marta Campi has amassed a diverse and extensive professional background, spanning various research, academic, and industry roles across multiple countries. As a Postdoctoral Researcher at Institut Pasteur in Paris, France, she focuses on advancing signal processing techniques for auditory applications, particularly in the development of computational optimal speech enhancement methods for hearing aids. Marta’s expertise extends to her role as a Research Engineer at Telecom Paris, where she contributed to implementing machine learning geolocation methods for wireless device networks.
Her dedication to education is evident through her tenure as a Teaching Assistant at University College London, where she tutored courses in probability, statistics, and programming methods. Marta has also lent her expertise as a Research Assistant at Heriot-Watt University in Edinburgh, Scotland, and City University of London, enriching projects in green finance and copula functions within insurance applications, respectively.
She broadened her research horizons through international collaborations, serving as a Visiting Research Fellow at the Institute of Statistical Mathematics in Tokyo, Japan, and a Visiting Research Student at Universite Clermont Auvergne in Clermont-Ferrand, France. Marta’s industry experience includes roles as a Senior Analyst at Fortlake Asset Management in Sydney, Australia, and as a Consultant at InRobin in Edinburgh, UK, where she contributed to predictive modeling and asset maintenance monitoring.
Her earlier experience as a Junior Analyst at COSTA CROCIERE S.P.A in Genova, Italy, further enriched her analytical skills and understanding of demand forecasting and price optimization. Throughout her career, Marta has demonstrated a commitment to interdisciplinary research and innovation, bridging the gap between academia and industry to address complex challenges in statistical signal processing and machine learning.
Research Interest :
Dr. Campi’s research interests span statistical signal processing, machine learning, and auditory neuroscience, with a focus on developing innovative solutions for speech enhancement in hearing aids. She is particularly interested in leveraging personalized cues and novel signal processing techniques to address auditory neuropathies and improve the quality of life for individuals with hearing impairments. Marta’s interdisciplinary approach combines her expertise in statistical science with real-world applications, aiming to bridge the gap between cutting-edge research and clinical practice in audiology.
Publication Top Noted:
Paper Title: Machine Learning Mitigants for Speech Based Cyber Risk
- Authors: Marta Campi, Gareth Peters, Nourddine Azzaoui, Tomoko Matsui
- Journal: IEEE Access
- Year: 2021
Paper Title: Cervical vestibular evoked myogenic potentials in healthy children: Normative values for bone and air conduction
- Authors: Sylvette Wiener-Vacherm, Marta Campi, Priscilla Boizeau, Hung Thai-Van
- Journal: Frontiers in Neurology, Section Neuro-Otology
- Year: 2023
Paper Title: Ataxic speech disorders and Parkinson’s disease diagnostics via stochastic embedding of empirical mode decomposition
- Authors: Marta Campi, Gareth Peters, Dorota Toczydlowska
- Journal: PLOS One
- Year: 2023
Paper Title: A Statistical Perspective of the Empirical Mode Decomposition
- Authors: Marta Campi
- Year: 2022