Dr. Marta Campi | Statistical Methods | Best Researcher Award

Dr. Marta Campi, Statistical Methods, Best Researcher Award 

Doctareat at Institut Pasteur, France

Professional Profile:

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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:

Daniel Shek | Latent class analysis | Best Researcher Award

Congratulations, Daniel Shek | Best Researcher Award Winner! 🏅🏆

Prof Daniel Shek : Latent class analysis🧑🏻‍🎓

Congratulations to Prof. Daniel T.L. Shek on winning the Best Researcher Award in Latent Class Analysis at the International Research Data Analysis Excellence Awards! This prestigious honor recognizes his outstanding contributions to research methodology and his expertise in advancing the field through innovative applications of latent class analysis. Prof. Shek's dedication to excellence has truly set a benchmark in international research. Well-deserved recognition for a distinguished researcher!

Professional Profiles:

Early Academic Pursuits:

Daniel T.L. Shek began his academic journey by obtaining a Bachelor of Social Sciences (B.Soc.Sc.) with Second Class honors, majoring in Psychology, from The University of Hong Kong (October 1976 – July 1979). He continued his academic pursuits at the same institution, earning a Ph.D. in Psychology from The University of Hong Kong (October 1979 – August 1983).

Professional Endeavors:

Dr. Shek's professional career has been marked by significant contributions to academia and social sciences. His full-time teaching experience commenced as a Demonstrator in the Department of Psychology at The University of Hong Kong (September 1979 – August 1983). Over the years, he held various roles at institutions such as City Polytechnic of Hong Kong and The Chinese University of Hong Kong, where he served as a Lecturer, Senior Lecturer, and ultimately as a Professor I until June 2009. Since July 2009, he has been a key figure at The Hong Kong Polytechnic University, holding the positions of Chair Professor of Applied Social Sciences, Li and Fung Professor in Service Leadership Education, and Associate Vice President (Undergraduate Programme).

Contributions and Research Focus:

Dr. Shek's academic contributions extend beyond teaching to include supervision of numerous post-graduate theses. He has successfully supervised Ph.D., Doctor of Health Science, Doctor of Social Work, M.Phil., and M.S.W. students, with several recipients of the Best Thesis Award at institutions such as The Chinese University of Hong Kong and The Hong Kong Polytechnic University.

Accolades and Recognition:

Daniel T.L. Shek is a recognized figure in the field, holding prestigious titles such as Fellow of The Hong Kong Psychological Society (1998 – Present) and Changjiang Scholar (Changjiang Chair Professor) since 2019. His commitment to community service is evident through roles such as Chairman of the Executive Committee for the Heep Hong Society for Handicapped Children, Vice-Chairman of the Public Policy Research Fund, and Chairman of the Family Council, among others.

Impact and Influence:

As a prolific figure in academia, Dr. Shek has been extensively involved in editorial boards, including serving as the Editor-in-Chief of "Applied Research in Quality of Life" and participating in various other renowned journals. His research interests span diverse areas, including youth development, family studies, and mental health, making a lasting impact on these fields.

Legacy and Future Contributions:

Daniel T.L. Shek's legacy is characterized by a multifaceted career, marked by academic excellence, community service, and editorial contributions. His commitment to quality of life research, mentorship, and community engagement positions him as a significant figure whose contributions will likely continue to shape the landscape of applied social sciences in the years to come.

Notable publication:

Using attention-based neural networks for predicting student learning outcomes in service-learning

Use of instructional videos in leadership education in higher education under COVID-19: A qualitative study

Perceived school climate and adolescent behaviors among Chinese adolescents: Mediating effect of social-emotional learning competencies

Network Analysis of Mental Health Problems in Young People: Reflections on the 5 Ts

Risk Factors and Protective Factors of Internet Addiction in University Students during the Pandemic: Implications for Prevention and Treatment