Exploring the frontiers of AI and machine learning through rigorous research and academic collaborations.
Advancing neural network architectures and training methodologies for complex pattern recognition and decision-making tasks.
Developing models that understand, interpret, and generate human language with contextual awareness.
Creating algorithms that can interpret and understand visual information from the world around us.
Training agents to make optimal decisions through interaction with their environment and reward feedback.
Bridging the gap between machine learning research and production deployment with scalable systems.
Ensuring AI systems are fair, transparent, and beneficial to society while minimizing potential harms.
Conference on Neural Information Processing Systems (NeurIPS)
Annual Meeting of the Association for Computational Linguistics (ACL)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
ACM Conference on Fairness, Accountability, and Transparency (FAccT)
December 2024
NeurIPS 2024, Vancouver, Canada
Keynote SpeakerOctober 2024
PyCon 2024, Pittsburgh, USA
Workshop InstructorJune 2024
ICML 2024, Vienna, Austria
PanelistMarch 2024
QCon London, UK
SpeakerNovember 2023
CVPR 2023, Vancouver, Canada
Workshop InstructorAcademic Institution
Collaborating on research in natural language processing and transformer architectures.
Industry Partner
Joint research on large language models and their practical applications.
Research Lab
Working on computer vision and robotics integration projects.
Healthcare Partner
Applying AI for medical imaging analysis and diagnostic assistance.