WiDS Paris @ emlyon is independently organized by emlyon to be part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work.
Join us
Get inspired by a great lineup of keynote speakers and panel discussions featuring fantastic speakers from industry and academia. You can find the progam schedule and list of speakers below.
Join us
Get inspired by a great lineup of keynote speakers and panel discussions featuring fantastic speakers from industry and academia. You can find the progam schedule and list of speakers below.
Program Schedule
03:00 PM – 04:00 PM
Reception
04:00 PM – 04:20 PM
Welcome & Opening Remarks
04:20 PM – 05:30 PM
SESSION 1: AI Ethics: Interpretability and Societal Impact
04:20 PM – 04:45 PM
Keynote 1: Lifting the Veil on AI: Interpretability and Explainability in the Machine Learning and Generative Landscape
04:45 PM – 05:10 PM
Keynote 2: Ethical and Societal Challenges in AI
05:10 PM – 05:30 PM
Panel Discussion: Women at the Forefront of Data Science and Emerging Trends
05:30 PM – 07:05 PM
SESSION 2: Navigating the Technical Terrain
05:30 PM – 05:55 PM
Keynote 3: How Much Data is Enough Data: A Healthcare Example
05:55 PM – 06:20 PM
Keynote 4: Operationalizing Responsible AI – From Principles to Practice
06:20 PM – 06:45 PM
Keynote 5: Impact of AI in Hospitality
06:45 PM – 07:05 PM
Panel Discussion: Women in Data Science Research and Development
07:05 PM – 07:10 PM
Closing
07:05 PM – 07:10 PM
Closing Remarks and Post Event Survey
07:10 PM onwards
Networking cocktail
Program Schedule
03:00 PM – 04:00 PM
Reception
04:00 PM – 04:20 PM
Welcome & Opening Remarks
04:20 PM – 05:30 PM
SESSION 1: AI Ethics: Interpretability
and Societal Impact
04:20 PM – 04:45 PM
Keynote 1: Lifting the Veil on AI: Interpretability and Explainability in the Machine Learning and Generative Landscape
04:45 PM – 05:10 PM
Keynote 2: Ethical and Societal Challenges in AI
05:10 PM – 05:30 PM
Panel Discussion: Women at the Forefront of Data Science and Emerging Trends
05:30 PM – 07:05 PM
SESSION 2: Navigating the Technical
Terrain
05:30 PM – 05:55 PM
Keynote 3: How Much Data is Enough Data: A Healthcare Example
05:55 PM – 06:20 PM
Keynote 4: Operationalizing Responsible AI – From Principles to Practice
06:20 PM – 06:45 PM
Keynote 5: Impact of AI in Hospitality
06:45 PM – 07:05 PM
Panel Discussion: Women in Data Science Research and Development
07:05 PM – 07:10 PM
Closing
07:05 PM – 07:10 PM
Closing Remarks and Post Event Survey
07:10 PM onwards
Networking cocktail
Speakers
Imène Brigui, PhD
Full Professor, Researcher, Director of the MSc in DSAIS at emlyon business school
Dr. Imène Brigui holds a PhD in Computer Science from Paris Dauphine University. Currently serving as a full-time professor and holding the position of Head of the MSc in Data Science and Artificial Intelligence Strategy at emlyon business school, Dr Brigui is one of the top voices in the fields of AI specializing in multiagent systems and decision theory. With a 15-year career in research and teaching, she’s contributed significantly through publications and editorial work. Dr. Brigui actively engages in global AI and Data Science communities, showcasing her deep commitment to the field.
Intelligent and Multiagent Systems
Isabelle Hilali
Founder and CEO of datacraft
Isabelle Hilali is the founder and CEO of a data startup that connects researchers in the fields of data and AI, making data science accessible to people from all backgrounds. With a rich career spanning Defense, Telecom, Internet, Healthcare, and Education, Isabelle has always focused on human and business aspects, creating an environment that encourages innovation. Additionally, Isabelle has shared her experiences as a lecturer at esteemed institutions like X Polytechnique and ESSEC Business School, where she has inspired others with her insights on leading teams towards innovation.
Responsible AI and Leadership in Innovation
Cristina Oprean, PhD
Head of Data Science & AI at Accor
Dr. Cristina Oprean, a researcher at Telecom Paris specializing in Signal and Image Processing, currently serves as the acting head of Data Science at Accor Paris. With a career marked by a balance of entrepreneurial pursuits and scientific research, Cristina is recognized for her valuable contributions in Computer Vision and Signal Processing. Her work is particularly marked by the effort of aligning scientific research and innovation with durable and sustainable product development.
Her practical expertise and dedication have made her a leading voice in the realms of Artificial Intelligence and data science research. Cristina’s projects are a valuable reference for innovation in several domains of data science combined with an effort of durable and sustainable product development. Dr Oprean’s role exemplifies the synergy between academic insight and real-world innovation.
Signal and Image Processing
Sasha Rubel, PhD
Head of Artificial Intelligence/Machine Learning, Public Policy, EMEA
at AWS
Dr. Sasha Rubel excels in uniting people globally to harness technology for positive change. she advises governments, companies, and nonprofits on leveraging AI and data for societal good.
Sasha is deeply committed to fostering inclusivity and sustainability in tech. Notable achievements include receiving the Public Diplomacy Innovation Prize from the White House, leading the EU-AU Digital Economy Task Force, and launching the first free coding school for girls in Senegal. Sasha continues to be a leader, steering global initiatives such as the UNESCO AI conference and the Internet Governance Forum. With a background spanning UNESCO, the African Union, and academia, Sasha brings a wealth of expertise to drive diverse and ethical tech solutions.
AI and Data for the good of People and the Planet
Ons Nefla, PhD
Consultant Data Engineer at Talan
Dr. Ons Nefla, a seasoned scientist with a PhD in Artificial Intelligence from Paris-Dauphine University, specializes in cutting-edge research. Her thesis focused on a new supervised learning classification method and a multiagent-based negotiation process for harmonizing agents’ classifications. This work spans various realms of artificial intelligence, data science, and decision support systems.
Data Engineering
Danica Despotović, PhD
Data Scientist at Apneal
Dr. Danica Despotović has a profound background in Signal Processing and a passion for applying machine learning to biomedical signals. Danica’s expertise lies in developing innovative algorithms using smartphone sensors to detect sleep disturbances, combining her knowledge of signal processing and machine learning. During her academic journey, Danica delved into the intricate realm of sleep spindle detection using EEG signals, and exploring best ways to detect RERA patterns in polysomnogrpahy data for a Computing in Cardiology challenge. Her doctoral research at the Institut de la Vision (Sorbonne Université, Paris) showcased her skills in building Bayesian models of retinal neurons, demonstrating a multidisciplinary approach to scientific inquiry.
Signal Processing in MedTech
Charlotte Lamouche
Senior Consultant at Wavestone
Charlotte Lamouche, a seasoned Data Scientist holding over 6 years of valuable experience. She has an engineering degree from Université de Technologie de Compiègne, Charlotte has successfully led initiatives ranging from automating Customer Relations Management in finance to implementing Natural Language Processing (NLP) applications for the energy industry. Her expertise extends across the entire AI value chain, where she assists clients with solutions from data collection and analysis to modelling and industrialization. Charlotte navigates the complexities of Data Science to support clients in most uncertain data settings.
Data Modelling and Industrialization
Samia Jnini
Head of Client Advisory at AtoS
Samia Jnini boasts a distinguished 12-year career in IT management and complex information systems. Armed with an engineering degree from Ecole Mohammadia d’Ingénieurs & Ecole Polytechnique and international management training from esteemed institutions like Paris Dauphine and Sorbonne University, Samia has held pivotal roles, including Head of AI Lab and Head of Corporate Innovation Center at Atos. Her impactful contributions extend to her time at Air Liquide, where she managed diverse international teams addressing complex industrial challenges.
IT Project Management
WiDS Paris @ emlyon Ambassador
Imène Brigui, PhD
Full Professor, Researcher, Director of the MSc in DSAIS at emlyon business school
WiDS Paris @ emlyon Organizing Team
Kriti Sharma
Data Scientist Intern at Raja
Maria Abi Raad
Student, MSc in DSAIS at emlyon
business school
Meri Martirosyan
Data Scientist at Michelin
Michelle Bianchi
Student, MSc in DSAIS at emlyon
business school
Namrata Bhatia
Student, MSc in DSAIS at emlyon
business school
Samia Jnini
Head of Client Advisory at AtoS
Selin Kuruca
Student, MSc in DSAIS at emlyon
business school
Shiqing Zhang
Student, MSc in DSAIS at emlyon
business school
Trisha Kumar
Data Scientist Intern at Ampere
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