Top 20 women in AI
At RE•WORK we are strong advocates of supporting women working towards the advancement of technology. We asked our community to nominate their top 20 AI women from Germany who are working at the forefront of AI development and deserve recognition for their achievements. We believe recognizing these women is key to representing diversity in AI and further promoting diversity in this space. You can read the full list here.
All of the women on this list are inspirational and deserve their recognition, so we are pleased to announce that ahead of the RE•WORK Berlin AI Summit on October 4th and 5th, we have confirmed that 8 of the top 20 are joining us become, to speak, on one of two tracks, deep learning and Enterprise AIto share their expertise and insights in AI.
Here they are:
Samantha Edds, Senior Data Scientist at YELP
Sam Edds is a passionate executive with a proven track record of using statistics and data modeling to help organizations generate insights and tell a story to grow their business. Her unique background, which includes corporations, start-ups and non-profits, has taught me the importance of supporting the people, products and places that make up a community. A statistician with roots in International Studies and Development, she strongly believes in harnessing the power of big data to improve everyone’s livelihood by making more informed, data-driven decisions. While there is more analytics around the world than ever before, something infinitely important to business success and one that she remains focused on is using big data to tell a story and a vision that everyone can grasp. She loves designing and building models to solve problems and thrives on using her analytics to create a story that all clients (data driven or not) can understand.
Rosona Eldred, Machine Learning Engineer at BASF
Rosona is currently working at BASF as a Machine Learning Engineer. Rosona is a data expert 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 lifecycle from requirements analysis to production, she is particularly motivated by structural problem solving, converting business potential into business value, and effectively moving promising prototypes into production.
Dzhuliana Nikolova, co-founder and CTO at OneUpOneDown
Dzhuliana’s main focus and strengths are education and self-development, which is why she eventually became the 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, having successfully completed a bachelor’s degree in telecommunications engineering. She has extensive knowledge in medical imaging and biosignal processing: MRI, EEG, ECG, segmentation, tracking, registration, classification, pre-processing 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
Because Deena believes in the untapped potential in each of us, she develops AI products to automate intelligent processes and give people more space to realize their greatest potential. With every AI solution she uses, someone gets the opportunity to reach their true potential. Deena is Lead Data Scientist at Bayer. After 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 conversational analyst and communication ethnographer working in Conversational Artificial Intelligence at FlixBus. As an expert in human-to-human conversations, she contributes to an interdisciplinary team by automating customer service interactions, modeling both text- and speech-based human-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, edited by Peter Lang Berlin.
Sarah Haq, Senior Machine Learning Engineer at Artsy
Sarah is Senior Machine Learning Engineer at Artsy, the world’s largest online art marketplace, and lectures at 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 startups, from lingerie companies to unicorns. She is currently shaping the personalization 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 have to be good enough to convince someone to make a massive financial investment, but how do we use machine learning algorithms to recreate the emotional connection a collector has when they add a piece to their collection? Sarah will be giving a presentation at our Enterprise AI Summit to answer this question.
Aleksandra Kovachev, Data Science Manager at Delivery Hero
Aleksandra received her Ph.D. in the area of complex networks with the aim of knowledge extraction by combining multiple data sources and various algorithms. She is passionate about bioinformatics and improving health through food and nutrition data. She currently works as an ML engineer for the global grocery delivery service Delivery Hero. Aleksandra will give a presentation at our Deep Learning Summit and discuss about optimizing the dish catalogue: from unstructured data to the knowledge graph.
If you want to connect with and hear from these AI pioneers, they will all be speaking at the RE•WORK Berlin AI Summit. Join them and many other AI leaders on October 4th and 5th, 2022. Register your place here with discount code UNITEAI to the 20% sale.
One pass gives you access to BOTH tracks – the Deep Learning Summit and the Enterprise AI Summit.
We have exclusively for RE•WORK participants reduced Room Prices with the venue, H4 hotel Berlin Alexanderplatz to enjoy your stay at the event – Book your discounted room here!