Parmida Beigi | BDQ AI

Parmida is a visionary leader with a proven track record of driving initiatives and delivering ML/AI, GenAI and analytics solutions for customer-facing teams across diverse sectors including tech, healthcare, and finance, and in a range of domains such as natural language processing, information retrieval and computer vision. Parmida is also an educator and the founder of BDQ AI, an AI/ML venture that empowers individuals to make the right choices for AI/ML and GenAI initiatives.

Focus areas include: generative AI and LLMs, ML and deep learning, and information retrieval and ranking for NLP and computer vision use cases.

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Education

PhD in Electrical and Computer Engineering, UBC, Canada

Engineering Management, UBC, Canada

Selected Publications

P. Beigi, R. Rohling, T. Salcudean, G. C. Ng, "CASPER: Computer-aided segmentation of imperceptible motion - A learning-based tracking," International Journal of Computer Assisted Radiology and Surgery, 12, pp. 1-10, 2017.

P. Beigi, R. Rohling, T. Salcudean, G. C. Ng, "Spectral Analysis of the Tremor Motion via Spatio-temporal Linear Sampling," International Journal of Computer Assisted Radiology & Surgery, 11(6), pp. 1183-1192, 2016.

P. Beigi, A. McWilliams, A. Srinidhi, S. Lam, C. E. MacAulay, "Sex and Smoking Status Effects on the Early Detection of Lung Cancer in High-Risk Smokers using an Electronic Nose," IEEE Transactions on Biomedical Engineering, 62(8), pp. 2044-2054, 2015.