Invited Speakers

Kamalika Das, Research Scientist, Intuit, USA

Kamalika Das is a Principal Research Scientist and the head of AI Research at Intuit. Her current research is focused on reasoning ability and reliability of large language models for addressing problems of accuracy and trust in fintech applications. She also leads the University Collaboration Program at Intuit, which facilitates research collaborations in AI with academic institutions around the world. Her work has resulted in 60+ conference and journal publications, in top venues such as, KDD, ECML-PKDD, NeurIPS, AAAI, AISTATS, etc. and she has also served as a chair, area chair, and senior program committee member at a number of these conferences. Kamalika completed her PhD in Computer Science from University of Maryland Baltimore County and has been a researcher at NASA Ames Research Center where her work on climate machine learning and anomaly detection led her to win the NASA Exceptional Public Service Medal. Kamalika also serves as an Advisory Board Member for the Lamarr Institute for Machine Learning and Artificial Intelligence in Germany.

Daniel Borrajo, Research Director, JP Morgan and Professor, Universidad Carlos III de Madrid, Spain

Dr. Daniel Borrajo is an AI Research Director at J.P. Morgan AI Research since 2019.  He is also a Professor at Universidad Carlos III de Madrid (on leave), where he was Head of the Computer Science Department and Head of the Planning and Learning Group. He has more than 35 years of experience of work on AI, from the research side as well as developing AI solutions for companies. His main research interests are in the integration of the two main AI paradigms:model-based (e.g. AI Planning) and model-free (e.g. Machine learning). He has been Program Chair of AI-related international conferences, regularly serves in the program committee of leading international AI conferences, and he is currently Associate Editor of the Artificial Intelligence Journal. Within JPMC AI Research he has lead several research and business projects with high impact.

Nino Antulov-Fantulin, Head of R&D, Aisot Technologies AG and ETH-Zurich, Switzerland

Nino Antulov-Fantulin is a head of research at Aisot Technologies AG and a senior researcher at the ETH Zurich (COSS group). His main interests are at the intersection of complexity science and (financial) data science with different ingredients and flavours from computational statistical physics, mathematics and theoretical computer science. In particular predictive analytics for finance, dynamical processes on networks, machine learning, social network analysis, network dismantling, Monte-Carlo algorithms. His interdisciplinary research contributions include: Nature Commun. 13, 333 (2022), Phys. Rev. Research 2, 033121 (2020), Proc. of the national academy of sciences 116.14 (2019), Pattern Recognition 82 (2018): 40-55., Phys. review letters 114.24 (2015), and different conferences: ICDM 2018, ICML 2019, ICLR 2020. Results from his research were covered by New Scientist, Popular Science magazine and different online media Pacific Standard, American Physical Society, ETH News, Frankfurt, ACM TechNews and others. Beside ETH Zurich, he worked at the Rudjer Boskovic Institute and the Faculty of Electrical Engineering and Computing in Croatia and as a visiting scientist at the Robert Koch Institute (Berlin) & Courant Institute of Mathematical Sciences (New York). 

Andreu Mora, Senior VP of Data, Adyen, Netherlands

Andreu Mora is an SVPeng at Adyen, responsible for Data (platform, ML, AI, experiments, analytics, uplift, reporting). At Adyen, he has previously been an eng lead for ML-based products and a data scientist working on launching products related to network based pattern recognition for risk and scalable time series forecasting. Before Adyen, Andreu worked for the European Space Agency and private aerospace as a data processing architect, tech lead and software engineer in the area of mission performance algorithms and mission design. Andreu holds an MSc. in Telecommunication Engineering from Universitat Politecnica de Catalunya.