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.
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.