Speaker: Golestan Sally Radwan

PhD in AI and Computational Biology

Golestan "Sally" Radwan is a Computer and Biomedical Engineer. Until recently, she led the AI product portfolio at London-based health tech startup babylon health, leading a team of doctors, engineers, AI scientists and designers to create an intelligent mobile platform for medical diagnosis, predictive health, and chronic disease management. Prior to babylon, Sally spent over 10 years in the technology industry in Germany, the UK and the USA, where she held various positions in engineering management, strategic planning and product management for the likes of Canonical/Ubuntu, Avaya Inc and NTT Data. Sally holds a BSc in Computer Engineering from Cairo University, an MBA from London Business School, and an MSc in Clinical Engineering and Healthcare Technology Management from the University of London, where she is currently finishing her PhD in AI and Computational Biology. She is also working on launching her own AI startup, which is currently in stealth mode.

Find Golestan Sally Radwan at

@smarthelix
Golestan (Sally) Radwan

Talk : From Software Development to ML - A Team's Transformation

Track : Practical Machine Learning
Location : Empire Complex, 7th fl.
Day of week : Wednesday
Duration : 2:55pm - 3:45pm

As companies seek to "inject" Machine Learning into their existing operations, they inevitably face a number of challenges. But perhaps the greatest and most-overlooked one is the people challenge. How can a successful software engineer make a transition to become an equally capable Machine Learning or Data Engineer?

How do team dynamics change when ML-specific processes, tools and pipelines are introduced? How can an engineering manager or team lead navigate this transition to retain their talented engineers and build a cohesive, high-performing ML team? 

In this talk I will share some "war stories" and lessons learned from my own experience leading a multi-functional team through such a transition. The insights will hopefully be useful to both engineers and managers about to go into this experience.

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Java and Neural Network Expert, Creator @Neuroph, & Founder @DeepNetts
Zoran Sevarac

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