Holds two U.S. patents: 'Efficient Implementation of Hybrid Beamforming' and 'Efficient Receiver Combining for Hybrid Analog/Digital Beamforming'. Published numerous papers, including 'Convex-Concave Programming: An Effective Alternative for Optimizing Shallow Neural Networks' in IEEE Transactions on Emerging Topics in Computational Intelligence, and 'MLP-Attention: Improving Transformer Architecture with MLP Attention Weights' at ICLR 2023.
Research Experience
Currently a Senior Data Scientist at Global Relay and the founder and research director of DG Sculptor, a nonprofit focused on AI and machine learning research. Previously served as the director of research and development at Humanitas Solutions, leading multiple R&D projects.
Education
Ph.D. from McGill University, followed by a year as a research associate at the Statistical Signal Processing Lab.
Background
Research interests include advanced AI/ML-based multi-media signal processing, speech synthesis, and implicit neural representation for AR/VR. Skilled in advanced signal processing, machine learning, and various areas of applied mathematics such as matrix analysis and optimization theory. Known for out-of-the-box thinking and debugging skills.
Miscellany
A problem-solver who emphasizes the importance of the scientific method, believing that understanding the problem is more crucial than relying solely on specific tools.