The first edition of IndabaX Tunisia will take place the 13th of April 2019 at Sup’Com in Tunis! This event is an opportunity for the Tunisian AI community to meet, discover the most recent advances in the field and interact with world-leading AI researchers. If you are a beginner and curious to learn more or if you are an expert in Machine Learning, you are encouraged to join us and be part of a network fully committed to building the future of AI in Tunisia.
Research scientist at DeepMind and member of the Organising Committee at Indaba
Ulrich is a South African research scientist at DeepMind, who lost his heart somewhere in the bushveld and is always looking for ways to find it. His most recent expedition in this quest is with the Deep Learning Indaba and its community of hard-working, dedicated friends and peers. He holds a PhD in machine learning from the University of Cambridge, lived life on the edge in two high tech startups, managed a team in Apple, and with Noam Koenigstein developed the core of the Microsoft recommender system. He was on the initial Xbox One team, and is still itching to build the next big thing.
Co-Founder and CEO at InstaDeep
Karim helps companies get a grip on the latest AI breakthroughs and deploy them. A graduate of France’s Ecole Polytechnique and former Program Fellow at the Courant Institute in New York, Karim has a passion for teaching and using applied mathematics.
This led him to launch InstaDeep, a fast-growing African AI startup that focuses on decision making for the Enterprise. Nominated at the MWC17 in the Top 20 most intriguing startups by PCMAG, InstaDeep now has offices in Tunis, London, Paris and Nairobi and Lagos.
Karim is also the founder of the TensorFlow Tunis Meetup and a Google Developer Expert in ML. He regularly organises educational events and workshops to share his experience with the community, including mentoring in ML at Google Launchpad Accelerator Africa. Karim is on a mission to democratise AI and make it accessible to a wide audience.
Researcher at Google AI
Sara Hooker is a researcher at Google Brain doing deep learning research on reliable explanations of model predictions for black-box models. Her main research interests gravitate towards interpretability, model compression and security. In 2014, she founded Delta Analytics, a non-profit dedicated to bringing technical capacity to help non-profits across the world use machine learning for good. She grew up in Africa, in Mozambique, Lesotho, Swaziland, South Africa, and Kenya. Her family now lives in Monrovia, Liberia.
Head of ML at InstaDeep
Marek operates at an intersection of software development and research with a background in physics and computational neuroscience. As Senior Software Engineer, Marek was Tech Lead at DeepMind productionising machine learning models for millions of Google users. Prior, at DeepMind Technologies as Senior Product Engineer, he led the implementation and deployment of a deep learning based computer vision backend for e-commerce. He started his serial startup adventures at Cortexica where as Senior Research Scientist he delivered an innovative on-GPU visual retrieval API to UK and US retail giants. Marek joined InstaDeep to lead automation and scaling of AI-first solutions and accelerate the research pipeline.
AI Engineer at InstaDeep
Rooted in her strong passion for available-to-all Artificial Intelligence, Tejumade co-founded AI Saturdays Lagos in 2018, an artificial intelligence community in Lagos, Nigeria. Here, she and her team offer free-to-attend classes on Data Science, Machine Learning and Deep Learning for 16 consecutive Saturdays through structured study groups. Tejumade is a firm believer in AI4SocialGood and that technology can improve the quality of human life, which is why she is on a mission to democratize AI Education through her volunteer work.
Senior Research scientist at DeepMind and member of the Organising Committee at Indaba
Stephan is a South African research scientist based out of DeepMind’s London offices. Before that he was at Google Brain in the US where he was part of the team that worked on Google’s neural machine translation system. He is an organizer of the Deep Learning Indaba and holds a PhD from Stellenbosch University, although he spent most of his PhD-time in California (at USC’s ISI) and in Montreal, where he started this journey in 2013 in Yoshua Bengio’s lab.
Researcher at the University of Colorado and professor of AI at Ibn Zohr University, Morocco
Postdoctoral Researcher at the University of Colorado. CEO and Founder of DeepAfricAI. Also, I am a professor of Artificial Intelligence at Ibn Zohr University, Agadir, Morocco. My main area of research is Natural Language Processing (NLP) focusing on Named Entity Recognition (NER) for classical texts as well as biomedical texts, Sentiment Analysis (SA), Churn Prediction for Telecom companies and Biomedical NLP. Furthermore, I am working on deep learning for healthcare focusing on breast cancer for Moroccan patients.
Product Lead for GPU Cloud Service at NVIDIA
Alexander Tsado is Product Marketing Manager in NVIDIA’s Accelerated Computing group. He is responsible for defining and executing go-to-market activities with all external cloud service provider partners for Deep Learning and High Performance Computing offerings. He comes from a background in Software Engineering and Finance from Goldman Sachs, holds an MBA from Kellogg School of Management and BA in electrical engineering from Columbia University. He is passionate about empowering millions of developers to use deep learning to tackle meaningful and expansive problems.
If studies are a journey through knowledge, Amal’s have been taking her all around the world. After leaving her home country, Tunisia, her first stop was in France for her first years of college. During this first phase, she studied engineering and applied mathematics for 5 years, and had her first contact with the professional world through multiple internships. One of the experiences made her encounter machine learning and decide to specialize in this field. Her PhD research led her to two new countries, South Korea and then Belgium where she has been working for a joint degree between Yonsei University (Korea) and KU Leuven (Belgium). Her research considers different optimization problematics for deep neural networks, such as regularization, specialized loss functions,… She aims to graduate by December 2019, but she chose to go first for research internships. The first took her to San Francisco (United States) where she worked for Oath (former Yahoo research), and the second to London (United Kingdom), where she worked for Google Deepmind.
Research Engineer at instaDeep
Alex is a Research Engineer for InstaDeep. He joined in 2017 after pursuing a Master in Artificial Intelligence at the University of Edinburgh. Before that his research focused on Optimization and Machine Learning. Alex’s role at InstaDeep is leading its main research team on deployment of reinforcement learning methods to real-life applications. Alex also holds a BA in engineering and a MEng in Applied Mathematics from UCL, Belgium.
R&D AI Engineer at InstaDeep
Rihab is a R&D AI Engineer at Instadeep. She graduated from the National School of Computer Science (ENSI) of Tunisia in 2018, ranked first in her promotion and majoring in software engineering. She joined Instadeep after working on her graduation internship where she applied Deep Neuroevolution to Deep Reinforcement Learning tasks. The project got awarded as the best project of the year and was presented at Deep Learning Indaba’s event in South Africa. Currently, her research mainly focuses on NP-hard problems using meta-evolutionary methods and Deep Reinforcement Learning.