LatinX in AI Celebrates Women in Machine Learning Month
Join us for a powerful panel discussion in celebration of Women in Machine Learning Month, in collaboration with Women in ML! This event will highlight the achievements of women in AI and ML, discuss the challenges they face, and explore strategies to create a more inclusive and equitable industry.
Our panel of distinguished women researchers and professionals will share their experiences, address the impact of bias in AI, and discuss ways to foster greater representation and support for women in the field.
Don’t miss this opportunity to be part of the conversation! Join us on March 27th (9am PT, 12pm EST, 5pm CET) as we celebrate and uplift women in AI and ML.
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Gabriela de Queiroz is an AI leader, startup advisor, and advocate for diversity in tech. As Director of AI at Microsoft, she helps startups scale AI-powered solutions. Previously, she led AI strategy and open-source initiatives at IBM. She is also the founder of R-Ladies and AI Inclusive, global communities dedicated to fostering diversity in AI and Data Science.
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Paula Ramos has a PhD in Computer Vision, with more the 20 years of experience in the technological field. She has been working developing novel integrated engineering technologies, mainly in the field of Computer Vision, robotics and Machine Learning applied to agriculture, since the early 2000s in Colombia. During her PhD and postgrad research, she deployed multiple low-cost, smart edge & IoT computing technologies that can be operated without expertise in computer vision systems such as farmers. The central objective of Paula’s research has been to develop intelligent systems/machines that can understand and recreate the visual world around us to solve real-world needs, such as those in the agricultural industry.
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Caroline is a Senior AI/ML Engineer and team lead for Clinical AI at GSK.ai. Throughout her career, she has focused on improving the biological understanding of diseases and patient outcomes in healthcare by leveraging machine learning and bioinformatic models. Her main research interests include precision medicine, explainable AI and causality. Before joining GSK.ai, Caroline obtained her PhD from ETH Zurich, where she focused on predicting antimicrobial resistance from early available microbial mass spectra. She has served on the WiML Board of Directors since 2022.
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Milica is an AI engineer and consultant driving the development and deployment of production-ready AI systems for diverse organizations. Her expertise spans custom machine learning, generative AI, and AI operationalization. With degrees in mathematics and statistics, she possesses a decade of experience in education and edtech, including curriculum design and machine learning instruction for technical and non-technical audiences. Prior to Google, Milica held a data scientist role in biotechnology and has a proven track record of advising startups, demonstrating a deep understanding of AI's practical application.
Don't miss out on this exciting event! Register now at the link below to secure your spot.