Siba Smarak Panigrahi

Expertise Geometric Deep Learning, Generative Models I am a Ph.D. at école Polytechnique Fédérale de Lausanne (EPFL) working with Prof. Maria Brbic in the Brbic Lab. My research interests span geometric deep learning, generative models, and computer vision.Previously, I was a visiting researcher at ServiceNow Research in the Multimodal Foundation Models team, building foundation model for structured document understanding. I was also a Research Intern at PROSE at Microsoft, working on designing algorithms and evaluation set-ups for email classification in real-world (online) settings. I was fortunate to work on topological data analysis at Adobe Research, India and on explainability in pre-trained language models at INK-Lab, University of Southern California under Prof. Xiang Ren.I completed my M.Sc. in Computer Science from McGill University in a thesis-based program under the supervision of Prof. Siamak Ravanbakhsh. I was also affiliated with Mila during this time. I earned my B. Tech. in Computer Science and Engineering from Indian Institute of Technology Kharagpur. I was part of the CVIR Lab under the supervision of Prof. Abir Das and Dr. Rameswar Panda where I worked on contextual bias and multimodal learning problems. Education M.Sc. (Thesis) | Computer Science 2022 – 2024 McGill University and Mila B.Tech. | Computer Science and Engineering 2018 – 2022 Indian Institute of Technology, Kharagpur