About Pashmina Cameron

I am an engineer and researcher interested in applying the latest machine learning research to solve real-world challenges, with the ultimate goal to improve inclusion and access to opportunity for everyone. My current interests include generative modelling for computer vision. I am also interested in both stochastic and code optimization.

Previously, at Microsoft Research Cambridge, I worked on a number of projects including:

  • Project HSD, an optical storage system which uses machine learning for storing data in holographic crystals with high powered lasers

  • Project Silica, a sustainable optical storage system which uses machine learning for storing data in glass with high speed lasers

  • Generative Chemistry, a workflow containing generative models for predicting new drug molecules and multi-property optimization, now used in-house by Novartis [Video]

  • Human motion modelling, a system for predicting avatar human motion from sparse head mounted device signals [Web]

I also co-ran the MSR Cambridge AI Residency program for three years and managed teams of various sizes.

Before joining Microsoft Research Cambridge in 2018, I led a computer vision R&D team (now part of MicroFocus) at Hewlett Packard Enterprise. My research spanned areas such as SLAM, 3D reconstruction and 3D change detection, augmented reality. I also developed industrial computer vision solutions for face recognition, object detection and recognition, license plate recognition and intelligent scene analysis.

I did a PhD in computer vision from University of Cambridge on a Gates Cambridge Scholarship. In a previous life, I built commercial foreign exchange software at Integral which is still being used full-steam today.

Google Scholar | LinkedIn | Email: pashabhi@yahoo.com

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