At RE•WORK, we are strong advocates for supporting women working towards advancing technology. We asked our community to nominate their Top 20 Women in AI from Germany, working at the forefront of AI developments, who deserve recognition for their achievements. We believe recognising these women is key to showcasing diversity in AI, and to continue encouraging diversity in the field. You can read the full list here.
All the women on this list are inspiring and deserve their recognition, so we are pleased to announce that ahead of the RE•WORK Berlin AI Summit on 4-5 October, we have confirmed that 8 of the top 20 will be joining us to speak at one of two tracks, Deep Learning and Enterprise AI, to share their expertise and insights in AI.
Here they are:
Samantha Edds, Senior Data Scientist at YELP
Sam Edds is a passionate leader with a successful track record in using statistics and data modeling to help organisations uncover insights and tell a story to grow their business. Her unique background spanning corporation, start-up, and non-profit settings has shown me the importance of supporting the people, products, and places that make up a community. As a Statistician with roots in International Studies and Development, she firmly believes in harnessing the power of big data to improve the livelihood of all through making more informed, data-driven decisions. While there is more analysis than ever before in the world, something endlessly important to business success, and which remains her focus, is using big data to tell a story and a vision all can grasp. She loves designing and building models to solve problems, and thrives on using her analysis to create a story that all clients (data focused or otherwise) can understand.
Rosona Eldred, Machine Learning Engineer at BASF
Rosona currently works at BASF as a Machine Learning Engineer. Rosona is a Data Professional with 5 years of industry experience following an academic career in Mathematics culminating in a Max Planck research fellowship. Excels in collaborative teams with proactive independent contributors. Having worked with all parts of the ML life-cycle from requirements engineering to productionisation, she is especially motivated by structural solutions to problems, translating business potential to business value, and getting promising prototypes effectively into production.
Dzhuliana Nikolova, Co-Founder & CTO at OneUpOneDown
Dzhuliana's primary focus and strengths are education and self-development which is how she ended up being a Co-founder and CTO at OneUpOneDown – a highly scalable AI mentor matching platform and framework that connects women worldwide with their perfect match. Dzhuliana will be presenting at our Deep Learning Summit.
Maria Monzon, Data Scientist and Computer Vision Researcher at BASF
Maria is a Biomedical Engineer with a strong focus on Computer Science and Machine Learning after having successfully completed a bachelor’s in Telecommunication Engineering Bachelor. She has extensive knowledge in Medical Imaging and Bio-Signal Processing: MRI, EEG, ECG, segmentation, tracking, registration, classification, preprocessing, and image analysis. Her key strengths in Artificial Intelligence include: Pattern Recognition (PR), Deep Learning (DL), Computer Vision (CV), Machine Learning (ML), Convolutional Neural Networks (CNN), Transfer Learning, Classification, Regression, Supervised Learning Object Detection. Maria will be presenting at our Enterprise AI Summit.
Deena Gergis, Lead Data Scientist at Bayer
Due to Deena believing in the untapped potential in each and every one of us, she develops AI products to automate intelligent processes, offering people more space to unfold their greatest potential. With every AI solution she deploys, someone is given the opportunity to step up to their true potential. Deena is a Lead Data Scientist at Bayer. Having received her MSc in Life Science Informatics at the University of Bonn, Deena worked as a Teaching and Research Assistant before joining Recogizer as a Data Scientist. Deena will be presenting at our Enterprise AI Summit.
Dr Carmen Martinez, Conversational UX Experience at Flixbus
Dr. Carmen Martinez is a Conversation Analyst and Ethnographer of Communication working in Conversational Artificial Intelligence at FlixBus. As an expert in human-to-human conversation, she contributes to a cross-disciplinary team by automating customer service interactions, modeling both text- and voice-based human-to-machine conversations, and developing visual solutions for graphical and multimodal conversational agents. Carmen holds a PhD in Conversation Analysis and is the author of “Conversar en español: un enfoque desde el Análisis de la Conversación” published by Peter Lang Berlin.
Sarah Haq, Senior Machine Learning Engineer at Artsy
Sarah is a Senior Machine Learning Engineer at the world's largest online art marketplace, Artsy, and a Lecturer at the Karlsruhe University of Applied Sciences and Leuphana University. She has over ten years of experience working with data and building machine learning models for various start-ups, from underwear companies to unicorns. She is currently shaping the personalisation strategy at Artsy and building a recommendation engine to connect collectors with artworks they will love. The art market is an extremely complex industry, with even more complex collectors. The recommendations need to be good enough to convince someone to make a massive financial investment, but how do we use machine learning algorithms to re-create the emotional connection a collector has when adding a piece to their collection? Sarah will be presenting at our Enterprise AI Summit to address this question.
Aleksandra Kovachev, Data Science Manager at Delivery Hero
Aleksandra did her Ph.D. in the area of complex networks with the goal of knowledge extraction by combining multiple data sources and diverse algorithms. She has a passion in bioinformatics and improving health through food and nutrition data. Currently, she works as ML Engineer for the global food delivery service, Delivery Hero. Aleksandra will be presenting at our Deep Learning Summit and will discuss Dish Catalogue Optimisation: From Unstructured Data to Knowledge Graph.
If you want to connect with and hear from these AI pioneers, then they will all be speaking at the RE•WORK Berlin AI Summit. Join them and many other AI leaders on 4-5 October 2022. Register your place here with discount code UNITEAI for 20% off.
Exclusively to RE•WORK attendees, we have discounted room rates with the event venue, H4 Hotel Berlin Alexanderplatz to enjoy your stay at the event – book your discounted room here!