rizal.fathony.com

rizal@fathony.com

I am an Applied Researcher in the AI Foundations team at Capital One, working on developing AI Foundation Model for multimodal behavioural data. My recent works focus on transformer-based sequential modeling for customer behaviour, graph-based representation for interactional behavior, as well as end-to-end approach on integrating sequential and relational modeling.

Before joining Capital One, I was a lead data scientist at Grab (Southeast Asia’s leading superapp for ride-hailing, food delivery, transport, services, and payments), driving the AI and ML initiatives for mitigating unknown, new, and emerging fraudulent behaviors. In particular, I led the research and development of graph neural network models (both supervised and unsupervised) for mitigating various types of fraudulent behaviors.

I received my Ph.D. in Computer Science from the University of Illinois at Chicago. I was fortunate to have Prof. Brian Ziebart as my advisor and Prof. Xinhua Zhang as one of my collaborators. After completing my PhD, I joined Carnegie Mellon University (CMU) and Bosch Center for Artificial Intelligence (BCAI), as a post-doctoral research fellow, hosted by Prof. Zico Kolter.

I was born and raised in a small village in Java island, Indonesia. After high school, I moved to Jakarta to complete my bachelor degree at the Institute of Statistics. I was also very lucky to be awarded Fulbright scholarship in 2012. Being a Fulbright grantee was a milestone to pursue my passion in machine learning and artificial intelligence.

I am fond of nature. In my spare time, I enjoy hiking in national parks and local forests with my family.