WiDS Maastricht Datathon 2023 Team
Tiantian Wang is a Ph.D. candidate focusing on electrocardiographic imaging (ECGI) with applied mathematics. She aims to build robust algorithms to reconstruct heart surface potentials using body surface potentials, and develop visualization tools for clinician diagnosis and surgical operation.
Afsana Khan is a a Ph.D. candidate at the Department of Advanced Computing Sciences (DACS) at Maastricht University. Her research interests include Federated Learning, Artificial Intelligence, Data Fusion, and IoT.
Maryam Mohammadi is a Ph.D. candidate at the Institute of Data Science (IDS) at Maastricht University. She is working on a project with title “automatic construction of knowledge graph metadata”. Her research interests include Knowledge Graph, Bioinformatics, Data Mining, Machine Learning and Deep Learning.
Stefan Meier is a a PhD student in computational electro-cardiology at the School for Cardiovascular Diseases in Maastricht (CARIM). Stefan: "I have thoroughly enjoyed the previous two iteratons of the WiDS Maastricht Datathon and I am very much looking forward to this in-person edition. Hope to see you there!"
Shashank Chakravarthy is is from India and has been in the Netherlands for the last 3 years. He is a multi-faceted individual with experience in Data Engineering, Robotic Process Automation, Pre-sales and consultancy, and Machine Learning. He spends his free time either reading, traveling, or dealing with food. Shashank: "I'm happy to help people!".
Xu Wang is a Postdoctoral researcher at the Institute of Data Science, where he is working on EU's Farmbook Project. Before joining UM, Xu has done research in Scientific Dataset Recommendation and Scientific Dataset Recommendation with Semantic Web. His current research interests include Semantic Web, Big Data, NLP, Logic Programming, and Machine Learning.
Dennis Soemers is a PhD candidate at Maastricht University's Department of Advance Computing Sciences (DACS), expected to defend his thesis and graduate soon. In his research, he focuses on reinforcement learning and search algorithms. He is also passionate about machine learning, programming in general, and games.
Thales Bertaglia is a PhD Candidate at Maastricht University, working jointly with the Institute of Data Science and Studio Europa. His research focuses on using Natural Language Processing and other data science methods to understand the influence of content creators and content monetisation on social media.
Yaru Zhang is a master student of Data Science for Decision Making at Maastricht University. She is seeking to use her data science skills to improve people’s lives through data-driven decisions. With a passion for math, statistics, and data, she is driven to uncover insights and create impact. When not in class, she enjoys exploring new places, experimenting with photography and trying new foods. She is an adventurous and curious learner, eager to make a difference with data science
Chang Sun is a Postdoctoral Researcher at the Institute of Data Science and the WiDS Ambassador for Maastricht. Chang's Ph.D. research focused on privacy-preserving personal data analysis, federated learning, synthetic data generation, and personal data vault technology. You can read her doctoral thesis here.
Mado Ntekouli is a PhD Candidate at the Department of Advanced Computing Sciences (DACS). Her research includes Network Science on Psychopathology, in order to develop personalized decision-making models for mental disorders. Project focus: Predictive network analysis of large-scale, dynamically interacting variables collected from multimodal data sources. Mado's research interests include Machine Learning and its applications within the field of biomedical engineering.
Yuyang Yan is a Ph.D. Candidate at the Institute of Data Science.