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    Morgane Goibert

    Quant / ML researcher -- PhD in Machine Learning

    Professional Background

    Morgane Goibert is an accomplished expert in the field of Machine Learning, specializing in the application of sophisticated quantitative models to finance. Through her extensive experience, she has earned a solid reputation as a forward-thinking researcher and thought leader in the fusion of mathematics and technology within financial services. Her background encompasses a diverse range of roles, including positions as a Quantitative Researcher and PhD Student, which have honed her skills in predictive analytics, data science, and statistical modeling.

    Starting her professional journey at Criteo, Morgane rapidly moved through the ranks, initially engaging as a Research Intern in Deep Learning and subsequently transitioning into roles that focused on advanced research in Machine Learning. Her time at this renowned company played a pivotal role in solidifying her technical acumen and enhancing her understanding of how machine learning can transform financial modeling.

    In her role as a Quantitative Researcher at CFM, Morgane further demonstrated an exceptional capability by applying innovative machine learning techniques to enhance financial strategies and performance. This experience underscores her unique ability to bridge the gap between theoretical mathematics and practical financial applications, making her a valuable asset in any forward-thinking organization.

    Education and Achievements

    Morgane's educational background is as impressive as her professional achievements. She holds a Doctor of Philosophy (PhD) in Applied Mathematics from the Institut Polytechnique de Paris, where she conducted impactful research that contributed to the advancement of machine learning methodologies.

    Complementing her PhD, Morgane obtained a Master in Management with a focus on Business and International Governance from ESSEC Business School. This combination of technical and managerial expertise equips her to understand complex business challenges and devise data-driven solutions.

    Her engineering diploma, an MSc in Mathematics specializing in probabilities and statistics, as well as quantitative economics and data science from ENSAE Paris, further amplifies her expertise in quantitative analysis, making her a distinguished voice in data-centric discussions. Morgane also excelled in her early studies, having completed a rigorous Classe Préparatoire at Lycée Janson-de-Sailly, which laid a strong foundation in math, history, arts, and languages.

    Throughout her academic career, Morgane consistently demonstrated a passion for continuous learning and application of knowledge, participating in internships that allowed her to work closely with math and technology in real-world contexts. Her internships at prestigious institutions, including the Universitat de Barcelona and the University Paris 1 Panthéon-Sorbonne, added depth to her understanding of mathematical principles and their real-world applications.

    Notable Achievements

    Throughout her career, Morgane has contributed significantly to both the academic and practical aspects of Machine Learning and quantitative finance. One of her commendable achievements includes her role as a researcher in Mathematics and Machine Learning while with Criteo, where she not only advanced her skills in data analysis but also contributed original research that enhanced the company's algorithms and data-driven strategies.

    Morgane's analytical capabilities were further recognized during her time as a Mathematics Examiner at Lycée Janson-de-Sailly, where she engaged in assessing students’ mathematical abilities, showcasing her commitment to education and mentorship. This multifaceted experience reflects her strong belief in the importance of fostering new talent in the fields of mathematics and machine learning.

    Additionally, her internships at SAP and other notable institutions highlight her adaptability while working in diverse environments, allowing her to thrive in collaborative and innovative settings.

    Morgane Goibert's career is a testament to her relentless pursuit of knowledge, applicable skills, and a desire to impact finance significantly through cutting-edge technological solutions. With her unique blend of technical expertise, educational background, and practical experience, Morgane stands at the forefront of the evolving landscape of Machine Learning in finance, ready to tackle future challenges and shape the industry's future.

    Related Questions

    How did Morgane Goibert develop her expertise in Machine Learning?
    What specific models in Machine Learning has Morgane Goibert applied to finance?
    Can Morgane Goibert share insights from her experiences working at Criteo?
    What motivated Morgane Goibert to pursue a PhD in Applied Mathematics?
    In what ways does Morgane Goibert envision the future of Machine Learning in financial applications?
    Morgane Goibert
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    Location

    Houilles, Île-de-France, France